Raphael Elikplim Nkrow
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Abstract
One hurdle to accurate indoor localization using time-based networks is the presence of Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor environments. NLOS identification and mitigation have been studied over the years and applied to different time-based networks, with most works considering NLOS links with WiFi and UWB channels. In this paper, we discuss the effects and challenges of NLOS conditions on indoor localization and present current state-of-the-art approaches to NLOS identification and mitigation in literature. We survey these approaches and classify them under different categories together with their merits and demerits. We further categorize approaches to tackle NLOS effects into single and hybrid measurement-based approaches in this work. Lessons learnt from the survey with future directions are also presented in this paper.
- 2018. SALMA: UWB-based single-anchor localization system using multipath assistance, author=Großwindhager, Bernhard and Rath, Michael and Kulmer, Josef and Bakr, Mustafa S and Boano, Carlo Alberto and Witrisal, Klaus and Römer, Kay. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems. 132–144.Google Scholar
- KM Al-Qahtani, Abdullah S Al-Ahmari, Ali H Muqaibel, Mohamed Adnan Landolsi, and UM Johar. 2014. Improved residual weighting for NLOS mitigation in TDOA-based UWB positioning systems. In 2014 21st International Conference on Telecommunications (ICT). IEEE, 211–215.Google ScholarCross Ref
- Grigorios G Anagnostopoulos and Alexandros Kalousis. 2019. A reproducible analysis of RSSI fingerprinting for outdoor localization using sigfox: Preprocessing and hyperparameter tuning. In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 1–8.Google ScholarCross Ref
- Simone Angarano, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, and Marcello Chiaberge. 2021. Robust ultra-wideband range error mitigation with deep learning at the edge. Engineering Applications of Artificial Intelligence 102 (2021), 104278.Google ScholarCross Ref
- Luca Barbieri, Mattia Brambilla, Andrea Trabattoni, Stefano Mervic, and Monica Nicoli. 2021. UWB localization in a smart factory: Augmentation methods and experimental assessment. IEEE Transactions on Instrumentation and Measurement 70 (2021), 1–18.Google Scholar
- Valentín Barral, Carlos J Escudero, José A García-Naya, and Roberto Maneiro-Catoira. 2019. NLOS identification and mitigation using low-cost UWB devices. Sensors 19, 16 (2019), 3464.Google ScholarCross Ref
- Valentín Barral, Carlos J Escudero, José A García-Naya, and Pedro Suárez-Casal. 2019. Environmental cross-validation of NLOS machine learning classification/mitigation with low-cost UWB positioning systems. Sensors 19, 24 (2019), 5438.Google ScholarCross Ref
- Alan Bensky. 2016. Wireless positioning technologies and applications. Artech House.Google ScholarDigital Library
- Andrea Bombino, Simone Grimaldi, Aamir Mahmood, and Mikael Gidlund. 2020. Machine learning-aided classification of los/NLos radio links in industrial IoT. In 2020 16th IEEE International Conference on Factory Communication Systems (WFCS). IEEE, 1–8.Google ScholarCross Ref
- Leana Bouse, Scott A King, and Tianxing Chu. 2024. Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting with Smartwatch. Sensors 24, 7 (2024), 2088.Google ScholarCross Ref
- Klemen Bregar and Mihael Mohorčič. 2018. Improving indoor localization using convolutional neural networks on computationally restricted devices. IEEE Access 6(2018), 17429–17441.Google ScholarCross Ref
- Zhengguo Cai, Xuguang Yang, and Xukang Wu. 2016. Tetrahedron-constraint least square localization algorithm in mixed LOS/NLOS scenario based on TDOA measurements. In 2016 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 251–255.Google ScholarCross Ref
- Bo Cao, Chunxia Jiang, Sumei Fan, Hua Zhang, and Wanli Liu. 2024. Improving the Localization Accuracy and Robustness of a UWB System Using VB-CSRUKF and RTS in Harsh Underground NLOS Environments. IEEE Internet of Things Journal(2024).Google ScholarCross Ref
- Bo Cao, Shibo Wang, Shirong Ge, and Wanli Liu. 2020. Improving positioning accuracy of UWB in complicated underground NLOS scenario using calibration, VBUKF, and WCA. IEEE Transactions on Instrumentation and Measurement 70 (2020), 1–13.Google Scholar
- Hongji Cao, Yunjia Wang, Jingxue Bi, Shenglei Xu, Hongxia Qi, Minghao Si, and Guobiao Yao. 2020. WiFi RTT Indoor Positioning Method Based on Gaussian Process Regression for Harsh Environments. IEEE Access 8(2020), 215777–215786.Google ScholarCross Ref
- Hongji Cao, Yunjia Wang, Jingxue Bi, Shenglei Xu, Minghao Si, and Hongxia Qi. 2020. Indoor positioning method using WiFi RTT based on LOS identification and range calibration. ISPRS International Journal of Geo-Information 9, 11(2020), 627.Google ScholarCross Ref
- Fabrizio Carpi, Luca Davoli, Marco Martalò, Antonio Cilfone, Yingjie Yu, Yi Wang, and Gianluigi Ferrari. 2019. RSSI-based methods for LOS/NLOS channel identification in indoor scenarios. In 2019 16th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 171–175.Google ScholarCross Ref
- Tiantian Chang, Suying Jiang, Yuzhe Sun, Ailin Jia, and Wei Wang. 2021. Multi-bandwidth nlos identification based on deep learning method. In 2021 15th European Conference on Antennas and Propagation (EuCAP). IEEE, 1–5.Google ScholarCross Ref
- Haotian Chen, Gang Wang, and Nirwan Ansari. 2019. Improved robust TOA-based localization via NLOS balancing parameter estimation. IEEE Transactions on Vehicular Technology 68, 6 (2019), 6177–6181.Google ScholarCross Ref
- Hongyang Chen, Gang Wang, Zizhuo Wang, Hing-Cheung So, and H Vincent Poor. 2011. Non-line-of-sight node localization based on semi-definite programming in wireless sensor networks. IEEE Transactions on Wireless Communications 11, 1(2011), 108–116.Google ScholarCross Ref
- Pi-Chun Chen. 1999. A non-line-of-sight error mitigation algorithm in location estimation. In WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No. 99TH8466), Vol. 1. IEEE, 316–320.Google ScholarCross Ref
- Yijie Chen, Jiliang Wang, and Jing Yang. 2024. Exploiting Anchor Links for NLOS Combating in UWB Localization. ACM Transactions on Sensor Networks(2024).Google Scholar
- Yu-Yao Chen, Shih-Ping Huang, Ting-Wei Wu, Wei-Ting Tsai, Chong-Yi Liou, and Shau-Gang Mao. 2020. UWB system for indoor positioning and tracking with arbitrary target orientation, optimal anchor location, and adaptive NLOS mitigation. IEEE Transactions on Vehicular Technology 69, 9 (2020), 9304–9314.Google Scholar
- Jeong-Sik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee, and Seong-Cheol Kim. 2017. Deep learning based NLOS identification with commodity WLAN devices. IEEE Transactions on Vehicular Technology 67, 4 (2017), 3295–3303.Google ScholarCross Ref
- Zhichao Cui, Yufang Gao, Jing Hu, Shiwei Tian, and Jian Cheng. 2020. LOS/NLOS identification for indoor UWB positioning based on Morlet wavelet transform and convolutional neural networks. IEEE Communications Letters 25, 3 (2020), 879–882.Google ScholarCross Ref
- Krzysztof K Cwalina, Piotr Rajchowski, Olga Blaszkiewicz, Alicja Olejniczak, and Jaroslaw Sadowski. 2019. Deep learning-based LOS and NLOS identification in wireless body area networks. Sensors 19, 19 (2019), 4229.Google ScholarCross Ref
- José A del Peral-Rosado, Ronald Raulefs, José A López-Salcedo, and Gonzalo Seco-Granados. 2017. Survey of cellular mobile radio localization methods: From 1G to 5G. IEEE Communications Surveys & Tutorials 20, 2 (2017), 1124–1148.Google ScholarCross Ref
- Vitomir Djaja-Josko and Marcin Kolakowski. 2017. A new map based method for NLOS mitigation in the UWB indoor localization system. In 2017 25th Telecommunication Forum (TELFOR). IEEE, 1–4.Google Scholar
- Mengyao Dong, Yihong Qi, Xianbin Wang, and Yiming Liu. 2022. A Non-Line-of-Sight Mitigation Method for Indoor Ultra-Wideband Localization With Multiple Walls. IEEE Transactions on Industrial Informatics(2022).Google Scholar
- Yinhuan Dong, Tughrul Arslan, and Yunjie Yang. 2021. Real-Time NLOS/LOS Identification for Smartphone-Based Indoor Positioning Systems Using WiFi RTT and RSS. IEEE Sensors Journal 22, 6 (2021), 5199–5209.Google ScholarCross Ref
- Nathan Dwek, Merwan Birem, Kurt Geebelen, Erik Hostens, Anurodh Mishra, Jan Steckel, and Risang Yudanto. 2019. Improving the accuracy and robustness of ultra-wideband localization through sensor fusion and outlier detection. IEEE Robotics and Automation Letters 5, 1 (2019), 32–39.Google ScholarCross Ref
- Jiancun Fan and Ahsan Saleem Awan. 2019. Non-line-of-sight identification based on unsupervised machine learning in ultra wideband systems. IEEE Access 7(2019), 32464–32471.Google ScholarCross Ref
- Xu Feng, Khuong An Nguyen, and Zhiyuan Luo. 2022. WiFi Access Points Line-of-Sight Detection for Indoor Positioning Using the Signal Round Trip Time. Remote Sensing 14, 23 (2022), 6052.Google ScholarCross Ref
- André G Ferreira, Duarte Fernandes, Sérgio Branco, André Paulo Catarino, and João L Monteiro. 2021. Feature selection for real-time NLOS identification and mitigation for body-mounted UWB transceivers. IEEE Transactions on Instrumentation and Measurement 70 (2021), 1–10.Google ScholarCross Ref
- Jaron Fontaine, Fuhu Che, Adnan Shahid, Ben Van Herbruggen, Qasim Zeeshan Ahmed, Waqas Bin Abbas, and Eli De Poorter. 2023. Transfer Learning for UWB error correction and (N) LOS classification in multiple environments. IEEE Internet of Things Journal(2023).Google Scholar
- Jaron Fontaine, Matteo Ridolfi, Ben Van Herbruggen, Adnan Shahid, and Eli De Poorter. 2020. Edge inference for UWB ranging error correction using autoencoders. IEEE access 8(2020), 139143–139155.Google ScholarCross Ref
- Abdo Gaber and Abbas Omar. 2016. Utilization of multiple-antenna multicarrier systems and NLOS mitigation for accurate wireless indoor positioning. IEEE transactions on wireless communications 15, 10(2016), 6570–6584.Google ScholarDigital Library
- Shangchao Gao, Fan Zhang, and Gang Wang. 2017. NLOS error mitigation for TOA-based source localization with unknown transmission time. IEEE Sensors Journal 17, 12 (2017), 3605–3606.Google ScholarCross Ref
- Chunhua Geng, Xin Yuan, and Howard Huang. 2019. Exploiting channel correlations for NLOS ToA localization with multivariate Gaussian mixture models. IEEE Wireless Communications Letters 9, 1 (2019), 70–73.Google ScholarCross Ref
- Christian Gentner, Thomas Jost, Wei Wang, Siwei Zhang, Armin Dammann, and Uwe-Carsten Fiebig. 2016. Multipath assisted positioning with simultaneous localization and mapping. IEEE Transactions on Wireless Communications 15, 9(2016), 6104–6117.Google ScholarDigital Library
- Christian Gentner, Markus Ulmschneider, Isabel Kuehner, and Armin Dammann. 2020. Wifi-rtt indoor positioning. In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 1029–1035.Google Scholar
- Sinan Gezici, Zhi Tian, Georgios B Giannakis, Hisashi Kobayashi, Andreas F Molisch, H Vincent Poor, and Zafer Sahinoglu. 2005. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE signal processing magazine 22, 4 (2005), 70–84.Google Scholar
- Davide Giovanelli, Elisabetta Farella, Daniele Fontanelli, and David Macii. 2018. Bluetooth-based indoor positioning through ToF and RSSI data fusion. In 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 1–8.Google ScholarCross Ref
- Yanying Gu, Anthony Lo, and Ignas Niemegeers. 2009. A survey of indoor positioning systems for wireless personal networks. IEEE Communications surveys & tutorials 11, 1 (2009), 13–32.Google ScholarDigital Library
- André Günther and Christian Hoene. 2005. Measuring round trip times to determine the distance between WLAN nodes. In International conference on research in networking. Springer, 768–779.Google ScholarDigital Library
- Xiansheng Guo, Nirwan Ansari, Fangzi Hu, Yuan Shao, Nkrow Raphael Elikplim, and Lin Li. 2019. A survey on fusion-based indoor positioning. IEEE Communications Surveys & Tutorials 22, 1 (2019), 566–594.Google ScholarDigital Library
- Xiansheng Guo, Nirwan Ansari, Lin Li, and Linfu Duan. 2020. A hybrid positioning system for location-based services: Design and implementation. IEEE Communications Magazine 58, 5 (2020), 90–96.Google ScholarDigital Library
- Xiansheng Guo, Nkrow Raphael Elikplim, Nirwan Ansari, Lin Li, and Lei Wang. 2019. Robust WiFi localization by fusing derivative fingerprints of RSS and multiple classifiers. IEEE Transactions on Industrial Informatics 16, 5 (2019), 3177–3186.Google ScholarCross Ref
- Karthikeyan Gururaj, Anojh Kumaran Rajendra, Yang Song, Choi Look Law, and Guofa Cai. 2017. Real-time identification of NLOS range measurements for enhanced UWB localization. In 2017 international conference on indoor positioning and indoor navigation (IPIN). IEEE, 1–7.Google ScholarCross Ref
- Ismail Guvenc and Chia-Chin Chong. 2009. A survey on TOA based wireless localization and NLOS mitigation techniques. IEEE Communications Surveys & Tutorials 11, 3 (2009), 107–124.Google ScholarDigital Library
- Kyuwon Han, Seung Min Yu, and Seong-Lyun Kim. 2019. Smartphone-based indoor localization using Wi-Fi fine timing measurement. In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 1–5.Google ScholarCross Ref
- Gerhard P Hancke and Bruno Jorge Silva. 2021. Wireless Positioning in Underground Mines: Challenges and Recent Advances. IEEE Industrial Electronics Magazine(2021).Google Scholar
- Omar Hashem, Khaled A Harras, and Moustafa Youssef. 2020. Deepnar: Robust time-based sub-meter indoor localization using deep learning. In 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 1–9.Google ScholarDigital Library
- Omar Hashem, Moustafa Youssef, and Khaled A Harras. 2020. WiNar: Rtt-based sub-meter indoor localization using commercial devices. In 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 1–10.Google ScholarCross Ref
- Mohammad Heidari and Kaveh Pahlavan. 2008. Identification of the absence of direct path in toa-based indoor localization systems. International Journal of Wireless Information Networks 15, 3 (2008), 117–127.Google ScholarCross Ref
- Berthold KP Horn. 2020. Doubling the Accuracy of Indoor Positioning: Frequency Diversity. Sensors 20, 5 (2020), 1489.Google ScholarCross Ref
- Chen Huang, Andreas F Molisch, Ruisi He, Rui Wang, Pan Tang, Bo Ai, and Zhangdui Zhong. 2020. Machine learning-enabled LOS/NLOS identification for MIMO systems in dynamic environments. IEEE Transactions on Wireless Communications 19, 6(2020), 3643–3657.Google ScholarCross Ref
- Jose M Huerta, Josep Vidal, Audrey Giremus, and Jean-Yves Tourneret. 2009. Joint particle filter and UKF position tracking in severe non-line-of-sight situations. IEEE Journal of Selected Topics in Signal Processing 3, 5 (2009), 874–888.Google ScholarCross Ref
- Sami Huilla, Chrysanthos Pepi, Michalis Antoniou, Christos Laoudias, Seppo Horsmanheimo, Sergio Lembo, Matti Laukkanen, and Georgios Ellinas. 2020. Indoor Localization with Wi-Fi Fine Timing Measurements Through Range Filtering and Fingerprinting Methods. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 1–7.Google Scholar
- Mohamed Ibrahim, Hansi Liu, Minitha Jawahar, Viet Nguyen, Marco Gruteser, Richard Howard, Bo Yu, and Fan Bai. 2018. Verification: Accuracy evaluation of WiFi fine time measurements on an open platform. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking. 417–427.Google ScholarDigital Library
- IEEE. 2021. IEEE Standard for Information Technology–Telecommunications and Information Exchange between Systems Local and Metropolitan Area Networks–Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 1: Enhancements for High-Efficiency WLAN. IEEE Std 802.11ax-2021 (Amendment to IEEE Std 802.11-2020) (2021), 1–767. https://doi.org/10.1109/IEEESTD.2021.9442429Google ScholarCross Ref
- Khondoker Ziaul Islam, David Murray, Dean Diepeveen, Michael GK Jones, and Ferdous Sohel. 2024. LoRa-based outdoor localization and tracking using unsupervised symbolization. Internet of Things 25(2024), 101016.Google ScholarCross Ref
- Changhui Jiang, Jichun Shen, Shuai Chen, Yuwei Chen, Di Liu, and Yuming Bo. 2020. UWB NLOS/LOS classification using deep learning method. IEEE Communications Letters 24, 10 (2020), 2226–2230.Google ScholarCross Ref
- Di Jin, Feng Yin, Abdelhak M Zoubir, and Hing Cheung So. 2021. Exploiting sparsity of ranging biases for NLOS mitigation. IEEE Transactions on Signal Processing 69 (2021), 3782–3795.Google ScholarDigital Library
- Hyeon Jeong Jo and Seungku Kim. 2018. Indoor smartphone localization based on LOS and NLOS identification. Sensors 18, 11 (2018), 3987.Google ScholarCross Ref
- J Joung, S Jung, S Chung, and E-R Jeong. 2019. CNN-based Tx–Rx distance estimation for UWB system localisation. Electronics Letters 55, 17 (2019), 938–940.Google ScholarCross Ref
- Mayur Katwe, Pradnya Ghare, and Prabhat Kumar Sharma. 2020. Robust NLOS bias mitigation for hybrid RSS-TOA based source localization under unknown transmission parameters. IEEE Wireless Communications Letters 10, 3 (2020), 542–546.Google ScholarCross Ref
- Jasurbek Khodjaev, Yongwan Park, and Aamir Saeed Malik. 2010. Survey of NLOS identification and error mitigation problems in UWB-based positioning algorithms for dense environments. annals of telecommunications-annales des télécommunications 65, 5(2010), 301–311.Google Scholar
- Tan Kim Geok, Khaing Zar Aung, Moe Sandar Aung, Min Thu Soe, Azlan Abdaziz, Chia Pao Liew, Ferdous Hossain, Chih P. Tso, and Wong Hin Yong. 2021. Review of Indoor Positioning: Radio Wave Technology. Applied Sciences 11, 1 (2021). https://www.mdpi.com/2076-3417/11/1/279Google Scholar
- Tan Kim Geok, Khaing Zar Aung, Moe Sandar Aung, Min Thu Soe, Azlan Abdaziz, Chia Pao Liew, Ferdous Hossain, Chih P Tso, and Wong Hin Yong. 2021. Review of indoor positioning: Radio wave technology. Applied Sciences 11, 1 (2021), 279.Google ScholarCross Ref
- Marcin Kolakowski and Jozef Modelski. 2017. First path component power based NLOS mitigation in UWB positioning system. In 2017 25th Telecommunication Forum (TELFOR). IEEE, 1–4.Google Scholar
- Stefan König, Mark Schmidt, and Christian Hoene. 2010. Precise time of flight measurements in IEEE 802.11 networks by cross-correlating the sampled signal with a continuous Barker code. In The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010). IEEE, 642–649.Google ScholarCross Ref
- Manikanta Kotaru, Kiran Joshi, Dinesh Bharadia, and Sachin Katti. 2015. Spotfi: Decimeter level localization using wifi. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication. 269–282.Google ScholarDigital Library
- Jeppe Bro Kristensen, Michel Massanet Ginard, Ole Kiel Jensen, and Ming Shen. 2019. Non-line-of-sight identification for UWB indoor positioning systems using support vector machines. In 2019 IEEE MTT-S International Wireless Symposium (IWS). IEEE, 1–3.Google ScholarCross Ref
- Jin Kun. 2021. UWB localization algorithm based on BP neural network compensation extended Kalman filter. In Journal of Physics: Conference Series, Vol. 1885. IOP Publishing, 042022.Google Scholar
- Kyunghyun Lee, Jungkeun Oh, and Kwanho You. 2016. TDOA/AOA based geolocation using Newton method under NLOS environment. In 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 373–377.Google Scholar
- Sangjae Lee, Seungwoo Chae, and Dongsoo Han. 2020. ILoA: Indoor localization using augmented vector of geomagnetic field. IEEE Access 8(2020), 184242–184255.Google ScholarCross Ref
- Michael Leigsnering, Fauzia Ahmad, Moeness Amin, and Abdelhak Zoubir. 2014. Multipath exploitation in through-the-wall radar imaging using sparse reconstruction. IEEE Trans. Aerospace Electron. Systems 50, 2 (2014), 920–939.Google ScholarCross Ref
- Erik Leitinger, Paul Meissner, Manuel Lafer, and Klaus Witrisal. 2015. Simultaneous localization and mapping using multipath channel information. In 2015 IEEE International Conference on Communication Workshop (ICCW). IEEE, 754–760.Google ScholarCross Ref
- Lin Li, Xiansheng Guo, and Nirwan Ansari. 2019. SmartLoc: Smart wireless indoor localization empowered by machine learning. IEEE Transactions on Industrial Electronics 67, 8 (2019), 6883–6893.Google ScholarCross Ref
- Shenghong Li, Mark Hedley, Iain B Collings, and David Humphrey. 2015. TDOA-based localization for semi-static targets in NLOS environments. IEEE Wireless Communications Letters 4, 5 (2015), 513–516.Google ScholarCross Ref
- Weijie Li, Tingting Zhang, and Qinyu Zhang. 2013. Experimental researches on an UWB NLOS identification method based on machine learning. In 2013 15th IEEE International Conference on Communication Technology. IEEE, 473–477.Google Scholar
- Xiaohui Li, Xiong Cai, Yongqiang Hei, and Ruiyang Yuan. 2017. NLOS identification and mitigation based on channel state information for indoor WiFi localisation. Iet Communications 11, 4 (2017), 531–537.Google ScholarDigital Library
- Yuxiao Li, Santiago Mazuelas, and Yuan Shen. 2021. Deep GEM-based network for weakly supervised UWB ranging error mitigation. In MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM). IEEE, 528–532.Google ScholarDigital Library
- Yuxiao Li, Santiago Mazuelas, and Yuan Shen. 2021. A semi-supervised learning approach for ranging error mitigation based on UWB waveform. In MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM). IEEE, 533–537.Google ScholarDigital Library
- Zan Li, Torsten Braun, and Desislava C Dimitrova. 2015. A passive wifi source localization system based on fine-grained power-based trilateration. In 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE, 1–9.Google ScholarCross Ref
- Cung Lian Sang, Michael Adams, Timm Hörmann, Marc Hesse, Mario Porrmann, and Ulrich Rückert. 2019. Numerical and experimental evaluation of error estimation for two-way ranging methods. Sensors 19, 3 (2019), 616.Google ScholarCross Ref
- Junhui Liang, Jin He, Wenxian Yu, and Trieu-Kien Truong. 2021. Single-site 3-D positioning in multipath environments using DOA-delay measurements. IEEE Communications Letters 25, 8 (2021), 2559–2563.Google ScholarCross Ref
- Dawei Liu, Moon-Chuen Lee, Chi-Man Pun, and Hongli Liu. 2013. Analysis of wireless localization in nonline-of-sight conditions. IEEE transactions on vehicular technology 62, 4 (2013), 1484–1492.Google ScholarCross Ref
- Hui Liu, Houshang Darabi, Pat Banerjee, and Jing Liu. 2007. Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 37, 6 (2007), 1067–1080.Google ScholarDigital Library
- Qingzhi Liu, Zhendong Yin, Yanlong Zhao, Zhilu Wu, and Mingyang Wu. 2022. UWB LOS/NLOS identification in multiple indoor environments using deep learning methods. Physical Communication 52 (2022), 101695.Google ScholarDigital Library
- Zhongling Liu, Ming Yang, Chaojie Xu, and Hui Yu. 2017. A novel ultra-wideband-based localization and tracking scheme with channel classification. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 1–5.Google ScholarCross Ref
- José Antonio López-Pastor, Pedro Arques-Lara, Juan José Franco-Peñaranda, Antonio Javier García-Sánchez, and José Luis Gómez-Tornero. 2021. Wi-Fi RTT-Based Active Monopulse RADAR for Single Access Point Localization. IEEE Access 9(2021), 34755–34766.Google ScholarCross Ref
- Ahmed Makki, Abubakr Siddig, Mohamed Saad, and Chris Bleakley. 2015. Survey of WiFi positioning using time-based techniques. Computer Networks 88(2015), 218–233.Google ScholarDigital Library
- Chengzhi Mao, Kangbo Lin, Tiancheng Yu, and Yuan Shen. 2018. A probabilistic learning approach to UWB ranging error mitigation. In 2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 1–6.Google ScholarDigital Library
- Stefano Marano, Wesley M Gifford, Henk Wymeersch, and Moe Z Win. 2010. NLOS identification and mitigation for localization based on UWB experimental data. IEEE Journal on selected areas in communications 28, 7(2010), 1026–1035.Google ScholarDigital Library
- Ciaran McElroy, Dries Neirynck, and Michael McLaughlin. 2014. Comparison of wireless clock synchronization algorithms for indoor location systems. In 2014 IEEE International Conference on Communications Workshops (ICC). IEEE, 157–162.Google ScholarCross Ref
- Germán Martín Mendoza-Silva, Joaquín Torres-Sospedra, and Joaquín Huerta. 2019. A meta-review of indoor positioning systems. Sensors 19, 20 (2019), 4507.Google ScholarCross Ref
- Zhi-Min Miao, Lu-Wen Zhao, Wei-Wei Yuan, and Feng-Lin Jin. 2016. Application of one-class classification in NLOS identification of UWB positioning. In 2016 International Conference on Information System and Artificial Intelligence (ISAI). IEEE, 318–322.Google ScholarCross Ref
- Mahmood F Mosleh and AK Daraj. 2021. Indoor Localization Improvements Based on Average RSS Samples. In IOP Conference Series: Materials Science and Engineering, Vol. 1105. IOP Publishing, 012024.Google Scholar
- Ardiansyah Musa, Gde Dharma Nugraha, Hyojeong Han, Deokjai Choi, Seongho Seo, and Juseok Kim. 2019. A decision tree-based NLOS detection method for the UWB indoor location tracking accuracy improvement. International Journal of Communication Systems 32, 13 (2019), e3997.Google ScholarCross Ref
- Sung-Chan Nam, Hong-Beom Choi, and Young-Bae Ko. 2022. On Mitigation of Ranging Errors for Through-the-Body NLOS Conditions using Convolutional Neural Networks. In 2022 24th International Conference on Advanced Communication Technology (ICACT). IEEE, 141–144.Google ScholarCross Ref
- Srivathsan Chakaravarthi Narasimman and Arokiaswami Alphones. 2024. DumbLoc: Dumb Indoor Localization Framework using WiFi Fingerprinting. IEEE Sensors Journal(2024).Google Scholar
- Ahasanun Nessa, Bhagawat Adhikari, Fatima Hussain, and Xavier N Fernando. 2020. A survey of machine learning for indoor positioning. IEEE access 8(2020), 214945–214965.Google ScholarCross Ref
- Quoc-Tuong Ngo, Pierre Roussel, Bruce Denby, and Gerard Dreyfus. 2015. Correcting non-line-of-sight path length estimation for ultra-wideband indoor localization. In 2015 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 1–6.Google ScholarCross Ref
- Viet-Hung Nguyen, Minh-Tuan Nguyen, Jeongsik Choi, and Yong-Hwa Kim. 2018. NLOS identification in WLANs using deep LSTM with CNN features. Sensors 18, 11 (2018), 4057.Google ScholarCross Ref
- Raphael E Nkrow, Bruno Silva, Dutliff Boshoff, and Gerhard P Hancke. 2023. Transfer Learning-Based NLOS Identification for UWB in Dynamic Obstructed Settings. IEEE Transactions on Industrial Informatics(2023).Google Scholar
- Raphael E Nkrow, Bruno J Silva, Dutliff Boshoff, and Gerhard P Hancke. 2023. UWB-Based NLOS Identification and Mitigation: A Performance Evaluation in Dynamic Settings. In IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 1–6.Google Scholar
- Raphael Elikplim Nkrow, Bruno Jorge Silva, Gerhard P Hancke, Adnan Abu-Mahfouz, and Lei Shu. 2022. Wi-Fi Fine Time Measurement: Is it a Viable Alternative to Ultrawideband for Ranging in Industrial Environments?IEEE Industrial Electronics Magazine(2022).Google Scholar
- Huthaifa Obeidat, Wafa Shuaieb, Omar Obeidat, and Raed Abd-Alhameed. 2021. A review of indoor localization techniques and wireless technologies. Wireless Personal Communications(2021), 1–39.Google Scholar
- Sinno Jialin Pan and Qiang Yang. 2010. A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering 22, 10(2010), 1345–1359. https://doi.org/10.1109/TKDE.2009.191Google ScholarDigital Library
- Kuntal Panwar, Mayur Katwe, Prabhu Babu, Pradnya Ghare, and Keshav Singh. 2022. A majorization-minimization algorithm for hybrid TOA-RSS based localization in NLOS environment. IEEE Communications Letters 26, 5 (2022), 1017–1021.Google ScholarCross Ref
- JiWoong Park, SungChan Nam, HongBeom Choi, YoungEun Ko, and Young-Bae Ko. 2020. Improving deep learning-based uwb los/nlos identification with transfer learning: An empirical approach. Electronics 9, 10 (2020), 1714.Google ScholarCross Ref
- Tianzhu Qiao and Huaping Liu. 2014. Improved least median of squares localization for non-line-of-sight mitigation. IEEE Communications Letters 18, 8 (2014), 1451–1454.Google ScholarCross Ref
- Mohammed Ramadan, Vladica Sark, Jesus Gutierrez, and Eckhard Grass. 2018. NLOS identification for indoor localization using random forest algorithm. In WSA 2018; 22nd International ITG Workshop on Smart Antennas. VDE, 1–5.Google Scholar
- Matteo Ridolfi, Abdil Kaya, Rafael Berkvens, Maarten Weyn, Wout Joseph, and Eli De Poorter. 2021. Self-calibration and Collaborative Localization for UWB Positioning Systems: A Survey and Future Research Directions. ACM Computing Surveys (CSUR) 54, 4 (2021), 1–27.Google ScholarDigital Library
- Cung Lian Sang, Michael Adams, Timm Hörmann, Marc Hesse, Mario Porrmann, and Ulrich Rückert. 2018. An analytical study of time of flight error estimation in two-way ranging methods. In 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 1–8.Google ScholarCross Ref
- Cung Lian Sang, Bastian Steinhagen, Jonas Dominik Homburg, Michael Adams, Marc Hesse, and Ulrich Rückert. 2020. Identification of NLOS and multi-path conditions in UWB localization using machine learning methods. Applied Sciences 10, 11 (2020), 3980.Google ScholarCross Ref
- Vladimir Savic, Javier Ferrer-Coll, Per Ängskog, José Chilo, Peter Stenumgaard, and Erik G. Larsson. 2015. Measurement Analysis and Channel Modeling for TOA-Based Ranging in Tunnels. IEEE Transactions on Wireless Communications 14, 1(2015), 456–467.Google ScholarDigital Library
- Ali H Sayed, Alireza Tarighat, and Nima Khajehnouri. 2005. Network-based wireless location: challenges faced in developing techniques for accurate wireless location information. IEEE Signal Process. Mag. 22, 4 (2005), 24–40.Google ScholarCross Ref
- Lorenz Schmid, David Salido-Monzú, and Andreas Wieser. 2019. Accuracy assessment and learned error mitigation of UWB ToF ranging. In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 1–8.Google ScholarCross Ref
- Philipp Schulz, Norman Franchi, and Gerhard Fettweis. 2021. RSS-based Localization of Multiple Unknown Transmitters through Particle Simulation. In 2021 1st IEEE International Online Symposium on Joint Communications & Sensing (JC&S). IEEE, 01–06.Google ScholarCross Ref
- Behailu Y Shikur and Tobias Weber. 2014. Tdoa/aod/aoa localization in nlos environments. In 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, 6518–6522.Google ScholarCross Ref
- Parnian A ShirinAbadi and Arash Abbasi. 2019. Uwb channel classification using convolutional neural networks. In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 1064–1068.Google Scholar
- Minghao Si, Yunjia Wang, Shenglei Xu, Meng Sun, and Hongji Cao. 2020. A Wi-Fi FTM-based indoor positioning method with LOS/NLOS identification. Applied Sciences 10, 3 (2020), 956.Google ScholarCross Ref
- Bruno Silva, Roy M Fisher, Anuj Kumar, and Gerhard P Hancke. 2015. Experimental link quality characterization of wireless sensor networks for underground monitoring. IEEE Transactions on Industrial Informatics 11, 5 (2015), 1099–1110.Google ScholarCross Ref
- Bruno Silva and Gerhard P Hancke. 2016. IR-UWB-based non-line-of-sight identification in harsh environments: Principles and challenges. IEEE Transactions on Industrial Informatics 12, 3 (2016), 1188–1195.Google ScholarCross Ref
- Bruno Silva and Gerhard P Hancke. 2020. Ranging error mitigation for through-the-wall non-line-of-sight conditions. IEEE Transactions on Industrial Informatics 16, 11 (2020), 6903–6911.Google ScholarCross Ref
- Bruno J Silva and Gerhard P Hancke. 2019. An approach to improve location accuracy in non-line-of-sight scenarios using floor plans. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Vol. 1. IEEE, 1715–1718.Google ScholarCross Ref
- Bruno J Silva and Gerhard P Hancke. 2020. Non-line-of-sight identification without channel statistics. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 4489–4493.Google ScholarCross Ref
- Maximilian Stahlke, Sebastian Kram, Christopher Mutschler, and Thomas Mahr. 2020. NLOS detection using UWB channel impulse responses and convolutional neural networks. In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 1–6.Google ScholarCross Ref
- Maximilian Stahlke, Sebastian Kram, Felix Ott, Tobias Feigl, and Christopher Mutschler. 2021. Estimating toa reliability with variational autoencoders. IEEE Sensors Journal 22, 6 (2021), 5133–5140.Google ScholarCross Ref
- Zhenqiang Su, Genfu Shao, and Huaping Liu. 2016. A soft-minimum method for NLOS error mitigation in TOA systems. In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, 1–4.Google ScholarCross Ref
- Zhenqiang Su, Genfu Shao, and Huaping Liu. 2017. Semidefinite programming for NLOS error mitigation in TDOA localization. IEEE communications letters 22, 7 (2017), 1430–1433.Google Scholar
- Sangmo Sung, Hokeun Kim, and Jae-Il Jung. 2023. Accurate Indoor Positioning for UWB-Based Personal Devices Using Deep Learning. IEEE Access 11(2023), 20095–20113.Google ScholarCross Ref
- Robert Szewczyk and Paweł Hanus. 2023. NFC technology for precise localization in areas with limited global navigation satellite system signal. Geomatics, Landmanagement and Landscape(2023).Google Scholar
- Chao Tang, Chengyang He, and Lihua Dou. 2021. An IMU/ODM/UWB Joint Localization System Based on Modified Cubature Kalman Filtering. Sensors 21, 14 (2021), 4823.Google ScholarCross Ref
- Zain Bin Tariq, Dost Muhammad Cheema, Muhammad Zahir Kamran, and Ijaz Haider Naqvi. 2017. Non-GPS positioning systems: A survey. ACM Computing Surveys (CSUR) 50, 4 (2017), 1–34.Google ScholarDigital Library
- Qinglin Tian, I Kevin, Kai Wang, and Zoran Salcic. 2018. Human body shadowing effect on UWB-based ranging system for pedestrian tracking. IEEE Transactions on Instrumentation and Measurement 68, 10(2018), 4028–4037.Google ScholarCross Ref
- Slavisa Tomic and Marko Beko. 2018. A robust NLOS bias mitigation technique for RSS-TOA-based target localization. IEEE Signal Processing Letters 26, 1 (2018), 64–68.Google ScholarCross Ref
- Slavisa Tomic, Marko Beko, Milan Tuba, and Victor M Franco Correia. 2018. Target localization in NLOS environments using RSS and TOA measurements. IEEE Wireless Communications Letters 7, 6 (2018), 1062–1065.Google ScholarCross Ref
- Don J Torrieri. 1984. Statistical theory of passive location systems. IEEE Trans. Aerosp. Electron. Syst.2 (1984), 183–198.Google ScholarCross Ref
- Duc Hoang Tran, ByungDeok Chung, and Yeong Min Jang. 2022. GAN-based Data Augmentation for UWB NLOS Identification Using Machine Learning. In 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 417–420.Google Scholar
- Marcin Uradzinski, Hang Guo, Xiaokang Liu, and Min Yu. 2017. Advanced indoor positioning using zigbee wireless technology. Wireless Personal Communications 97, 4 (2017), 6509–6518.Google ScholarDigital Library
- Reza Monir Vaghefi and R Michael Buehrer. 2015. Cooperative localization in NLOS environments using semidefinite programming. IEEE Communications Letters 19, 8 (2015), 1382–1385.Google ScholarCross Ref
- Frank Van Diggelen and Per Enge. 2015. The world’s first GPS MOOC and worldwide laboratory using smartphones. In Proceedings of the 28th international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2015). 361–369.Google Scholar
- Thang Van Nguyen, Youngmin Jeong, Hyundong Shin, and Moe Z Win. 2015. Machine learning for wideband localization. IEEE Journal on Selected Areas in Communications 33, 7(2015), 1357–1380.Google ScholarDigital Library
- S Venkatesh and RM Buehrer. 2007. Non-line-of-sight identification in ultra-wideband systems based on received signal statistics. IET Microwaves, Antennas & Propagation 1, 6 (2007), 1120–1130.Google ScholarCross Ref
- Swaroop Venkatesh and R Michael Buehrer. 2006. A linear programming approach to NLOS error mitigation in sensor networks. In Proc. ACM IPSN. 301–308.Google ScholarDigital Library
- Swaroop Venkatesh and R Michael Buehrer. 2007. NLOS mitigation using linear programming in ultrawideband location-aware networks. IEEE transactions on Vehicular Technology 56, 5 (2007), 3182–3198.Google ScholarCross Ref
- Fang Wang, Hai Tang, and Jialei Chen. 2023. Survey on NLOS Identification and Error Mitigation for UWB Indoor Positioning. Electronics 12, 7 (2023), 1678.Google ScholarCross Ref
- Fei Wang, Zhan Xu, Ruxin Zhi, Jinhui Chen, and Peiyue Zhang. 2019. Los/nlos channel identification technology based on cnn. In 2019 6th NAFOSTED Conference on Information and Computer Science (NICS). IEEE, 200–203.Google ScholarCross Ref
- Gang Wang, Hongyang Chen, Youming Li, and Nirwan Ansari. 2014. NLOS error mitigation for TOA-based localization via convex relaxation. IEEE Transactions on Wireless Communications 13, 8(2014), 4119–4131.Google ScholarCross Ref
- Gang Wang, Anthony Man-Cho So, and Youming Li. 2016. Robust convex approximation methods for TDOA-based localization under NLOS conditions. IEEE Transactions on Signal processing 64, 13 (2016), 3281–3296.Google ScholarDigital Library
- Gang Wang, Shengjin Zhang, Haotian Chen, and Youming Li. 2018. Robust TOA-based cooperative localization under NLOS conditions. In 2018 24th Asia-Pacific Conference on Communications (APCC). IEEE, 418–421.Google ScholarCross Ref
- Tianyu Wang, Keke Hu, Zhihang Li, Kangbo Lin, Jian Wang, and Yuan Shen. 2020. A semi-supervised learning approach for UWB ranging error mitigation. IEEE Wireless Communications Letters 10, 3 (2020), 688–691.Google ScholarCross Ref
- Wei Wang, Gang Wang, Jie Zhang, and Youming Li. 2017. Robust weighted least squares method for TOA-based localization under mixed LOS/NLOS conditions. IEEE Communications Letters 21, 10 (2017), 2226–2229.Google ScholarCross Ref
- Yunlong Wang, Kai Gu, Ying Wu, Wei Dai, and Yuan Shen. 2019. Exploiting NLOS bias correlation in cooperative localization. In 2019 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 1–5.Google ScholarCross Ref
- Yunlong Wang, Kai Gu, Ying Wu, Wei Dai, and Yuan Shen. 2020. NLOS effect mitigation via spatial geometry exploitation in cooperative localization. IEEE Transactions on Wireless Communications 19, 9(2020), 6037–6049.Google ScholarCross Ref
- Chin-Der Wann and Chih-Sheng Hsueh. 2007. NLOS mitigation with biased Kalman filters for range estimation in UWB systems. In TENCON 2007-2007 IEEE Region 10 Conference. IEEE, 1–4.Google ScholarCross Ref
- Fuxi Wen, Josef Kulmer, Klaus Witrisal, and Henk Wymeersch. 2020. 5G positioning and mapping with diffuse multipath. IEEE Transactions on Wireless Communications 20, 2(2020), 1164–1174.Google ScholarDigital Library
- Kai Wen, Kegen Yu, and Yingbing Li. 2017. NLOS identification and compensation for UWB ranging based on obstruction classification. In 2017 25th European signal processing conference (EUSIPCO). IEEE, 2704–2708.Google Scholar
- Stephan Winter, Martin Tomko, Maria Vasardani, Kai-Florian Richter, Kourosh Khoshelham, and Mohsen Kalantari. 2019. Infrastructure-independent indoor localization and navigation. ACM Computing Surveys (CSUR) 52, 3 (2019), 1–24.Google ScholarDigital Library
- Klaus Witrisal and Paul Meissner. 2012. Performance bounds for multipath-assisted indoor navigation and tracking (MINT). In 2012 IEEE International Conference on Communications (ICC). IEEE, 4321–4325.Google ScholarCross Ref
- Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, and Mingyan Liu. 2015. PhaseU: Real-time LOS identification with WiFi. In 2015 IEEE conference on computer communications (INFOCOM). IEEE, 2038–2046.Google ScholarCross Ref
- Huafeng Wu, Linian Liang, Xiaojun Mei, and Yuanyuan Zhang. 2022. A convex optimization approach for NLOS error mitigation in TOA-based localization. IEEE Signal Processing Letters 29 (2022), 677–681.Google ScholarCross Ref
- Shaohua Wu, Yongkui Ma, Qinyu Zhang, and Naitong Zhang. 2007. NLOS error mitigation for UWB ranging in dense multipath environments. In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 1565–1570.Google ScholarDigital Library
- Shixun Wu, Shengjun Zhang, and Darong Huang. 2019. A TOA-based localization algorithm with simultaneous NLOS mitigation and synchronization error elimination. IEEE Sensors Letters 3, 3 (2019), 1–4.Google ScholarCross Ref
- ZhenQian Wu, YouMing Li, Xiangpei Meng, Xinrong Lv, and Qiang Guo. 2023. A Minimum Joint Error Entropy-Based Localization Method in Mixed LOS/NLOS Environments. IEEE Internet of Things Journal(2023).Google ScholarCross Ref
- Kenny Fong Peng Wye, Syed Muhammad Mamduh Syed Zakaria, Latifah Munirah Kamarudin, Ammar Zakaria, Norhawati Binti Ahmad, and Kamarulzaman Kamarudin. 2021. RSS-based Fingerprinting Localization with Artificial Neural Network. In Journal of Physics: Conference Series, Vol. 1755. IOP Publishing, 012033.Google Scholar
- Henk Wymeersch, Stefano Maranò, Wesley M Gifford, and Moe Z Win. 2012. A machine learning approach to ranging error mitigation for UWB localization. IEEE transactions on communications 60, 6 (2012), 1719–1728.Google ScholarCross Ref
- Fu Xiao, Zhengxin Guo, Hai Zhu, Xiaohui Xie, and Ruchuan Wang. 2017. AmpN: Real-time LOS/NLOS identification with WiFi. In 2017 IEEE International Conference on Communications (ICC). IEEE, 1–7.Google ScholarCross Ref
- Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, and Jeff Frolik. 2014. Non-line-of-sight identification and mitigation using received signal strength. IEEE Transactions on Wireless Communications 14, 3(2014), 1689–1702.Google ScholarDigital Library
- Yaqin Xie, Lili Zhou, Yu Zhang, Hai Huan, and Zhizhong Zhang. 2022. Simultaneous Localization of Scatterers and Target User Based on Indoor Prior Information in NLOS Environments. IEEE Transactions on Vehicular Technology 71, 11 (2022), 11729–11740.Google ScholarCross Ref
- Cheng-Yu Yang, Wan-Ting Shih, Chao-Kai Wen, Shang-Ho Tsai, and Chau Yuen. 2024. Enhancing WiFi Access Point Localization with AI-based Filtering. IEEE Communications Letters(2024).Google ScholarCross Ref
- Haoxiao Yang, Liang Chen, Han Liu, and Guanwen Zhu. 2024. Dynamic Feature-fused Localization with Smartphones Exploiting 5G NR SSB and Wi-Fi for Indoor Environments. IEEE Transactions on Instrumentation and Measurement (2024).Google ScholarCross Ref
- Kai Yang, Jianping An, Xiangyuan Bu, and Yao Lu. 2010. A TOA-based location algorithm for NLOS environments using quadratic programming. In 2010 IEEE wireless communication and networking conference. IEEE, 1–5.Google Scholar
- Xiaofeng Yang. 2018. NLOS mitigation for UWB localization based on sparse pseudo-input Gaussian process. IEEE Sensors Journal 18, 10 (2018), 4311–4316.Google ScholarCross Ref
- Lili Yi, Sirajudeen Gulam Razul, Zhiping Lin, and Chong-Meng See. 2013. Gating and robust EKF based target tracking in mixed LOS/NLOS environments. In 2013 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 1364–1367.Google Scholar
- Kegen Yu and Y Jay Guo. 2007. NLOS error mitigation for mobile location estimation in wireless networks. In 2007 IEEE 65th Vehicular Technology Conference-VTC2007-Spring. IEEE, 1071–1075.Google ScholarCross Ref
- Kegen Yu, Kai Wen, Yingbing Li, Shuai Zhang, and Kefei Zhang. 2018. A novel NLOS mitigation algorithm for UWB localization in harsh indoor environments. IEEE Transactions on Vehicular Technology 68, 1 (2018), 686–699.Google ScholarCross Ref
- Lei Yu, Mohamed Laaraiedh, Stéphane Avrillon, and Bernard Uguen. 2011. Fingerprinting localization based on neural networks and ultra-wideband signals. In 2011 IEEE international symposium on signal processing and information technology (ISSPIT). IEEE, 184–189.Google ScholarDigital Library
- Haiyu Zeng, Rui Xie, Rong Xu, Weihen Dai, and Shiwei Tian. 2019. A novel approach to NLOS identification for UWB positioning based on kernel learning. In 2019 IEEE 19th International Conference on Communication Technology (ICCT). IEEE, 451–455.Google ScholarCross Ref
- Zhuoqi Zeng, Rubing Bai, Lei Wang, and Steven Liu. 2019. NLOS identification and mitigation based on CIR with particle filter. In 2019 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 1–6.Google ScholarDigital Library
- Zhuoqi Zeng, Steven Liu, and Lei Wang. 2018. Nlos identification for uwb based on channel impulse response. In 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 1–6.Google ScholarCross Ref
- Zhuoqi Zeng, Steven Liu, and Lei Wang. 2018. UWB/IMU integration approach with NLOS identification and mitigation. In 2018 52nd Annual Conference on Information Sciences and Systems (CISS). IEEE, 1–6.Google ScholarCross Ref
- Zhuoqi Zeng, Steven Liu, and Lei Wang. 2019. UWB NLOS identification with feature combination selection based on genetic algorithm. In 2019 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 1–5.Google ScholarCross Ref
- Jiuwu Zhang, Xiulong Liu, Sheng Chen, Xinyu Tong, Zeyu Deng, Tao Gu, and Keqiu Li. 2024. Toward Robust RFID Localization via Mobile Robot. IEEE/ACM Transactions on Networking(2024).Google ScholarCross Ref
- Kexin Zhang, Zhihong Xi, and Fenghao Zheng. 2023. UWB Indoor Positioning System Based on NLOS Recognition. In 2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 376–379.Google Scholar
- Qiang Zhang, Dengkang Zhao, Shaojun Zuo, Tingting Zhang, and Dan Ma. 2015. A low complexity NLOS error mitigation method in UWB localization. In 2015 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 1–5.Google ScholarCross Ref
- Shengjin Zhang, Shangchao Gao, Gang Wang, and Youming Li. 2015. Robust NLOS error mitigation method for TOA-based localization via second-order cone relaxation. IEEE Communications Letters 19, 12 (2015), 2210–2213.Google ScholarCross Ref
- Yuxuan Zhao and Manyi Wang. 2022. The LOS/NLOS Classification Method Based on Deep Learning for the UWB Localization System in Coal Mines. Applied Sciences 12, 13 (2022), 6484.Google ScholarCross Ref
- Zimu Zhou, Zheng Yang, Chenshu Wu, Longfei Shangguan, Haibin Cai, Yunhao Liu, and Lionel M Ni. 2015. WiFi-based indoor line-of-sight identification. IEEE Transactions on Wireless Communications 14, 11(2015), 6125–6136.Google ScholarDigital Library
- Jianan Zhu and Solmaz S Kia. 2019. Bias compensation for UWB ranging for pedestrian geolocation applications. IEEE Sensors Letters 3, 9 (2019), 1–4.Google ScholarCross Ref
- Jianan Zhu and Solmaz S Kia. 2020. UWB ranging aided pedestrian geolocation with GPB-based filtering for LoS and NLoS measurement processing. In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 781–787.Google Scholar
- Jianan Zhu and Solmaz S Kia. 2021. Decentralized cooperative localization with LoS and NLoS UWB inter-agent ranging. IEEE Sensors Journal 22, 6 (2021), 5447–5456.Google ScholarCross Ref
- Xiaoqiang Zhu, Wenyu Qu, Tie Qiu, Laiping Zhao, Mohammed Atiquzzaman, and Dapeng Oliver Wu. 2020. Indoor intelligent fingerprint-based localization: Principles, approaches and challenges. IEEE Communications Surveys & Tutorials 22, 4 (2020), 2634–2657.Google ScholarCross Ref
Index Terms
- NLOS Identification and Mitigation for Time-based Indoor Localization Systems: Survey and Future Research Directions
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