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Peer-to-Peer Networking and Applications

Erschienen in:

20.07.2023

A mobile localization algorithm based on fuzzy estimation for serious NLOS scenes

verfasst von: Yan Wang, Yuxin Gong, Huikang Yang

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 5/2023

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Abstract

The indoor environment is intricate and the global positioning system (GPS) unable to satisfy the demand of indoor location accuracy. Therefore, the localization method based on wireless sensor network (WSN) has attached great importance and researched lately. The toughest issue to solve is the non-line of sight (NLOS) error caused by the uncertainty of the propagation environment. Hence, a location method based on hypothesis test and modified fuzzy probabilistic data association filter (HT-MFDAF) is proposed in this paper. Line-of-sight (LOS) and NLOS situations are regarded as an interactive Markov process. In the case of NLOS, we firstly identify and mitigate NLOS based on hypothesis testing theory. Then the ones which still have serious NOLS pollution is discarded by calculating similarity. Finally, the fuzzy membership degree is calculated by MFDAF, reconstructing the correlation probability to get the position estimate. The eventual location result is acquired by the Interactive Multiple Model (IMM) which weighted LOS and NLOS estimated position. Simulation and experimental results demonstrate the effectiveness of the algorithm.

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Verma S, Zeadally S, Kaur S, Sharma AK (2021) Intelligent and secure clustering in wireless sensor network (WSN)-based intelligent transportation systems. IEEE Trans Intell Transport Syst

Anvaripour M, Saif M, Ahmadi M (2020) A novel approach to reliable sensor selection and target tracking in sensor networks. IEEE Trans Industr Inf 16(1):171–182CrossRef

Chanak P, Banerjee I (2020) Congestion free routing mechanism for IoT-enabled wireless sensor networks for smart healthcare applications. IEEE Trans Consum Electron 66(3):223–232CrossRef

Naeem AR, Javed M, Rizwan S, Abbas JC, Lin W, Gadekallu TR (2021) DARE-SEP: a hybrid approach of distance aware residual energy-efficient SEP for WSN. IEEE Trans Green Commun Netw 5(2):611–621CrossRef

Yassin A et al (2017) Recent advances in indoor localization: a survey on theoretical approaches and applications. IEEE Commun Surv Tutor 19(2):1327–1346

Park H, Chang J-H (2020) Robust localization based on ML-type, multi-stage ML-type, and extrapolated single propagation UKF methods under mixed LOS/NLOS conditions. IEEE Trans Wireless Commun 19(9):5819–5832CrossRef

LiangR et al (2020) Fault location method in power network by applying accurate information of arrival time differences of modal traveling waves. IEEE Trans Ind Inform 16(5):3124–3132

Chen L, Ahriz I, Ruyet DL (2020) AoA-aware probabilistic indoor location fingerprinting using channel state information. IEEE Internet Things J 7(11):10868–10883CrossRef

Zhou M, Li Y, Tahir MJ, Geng X, Wang Y, He W (2021) Integrated statistical test of signal distributions and access point contributions for wi-fi indoor localization. IEEE Trans Veh Technol 70(5):5057–5070CrossRef

10.

Cui W, Li B, Zhang L, Meng W (2019) Robust mobile location estimation in nlos environment using GMM, IMM, and EKF. IEEE Syst J 13(3):3490–3500CrossRef

11.

Wu S, Zhang S, Xu K, Huang D (2019) Probability weighting localization algorithm based on NLOS identification in wireless network. Wirel Commun Mob Comput

12.

Aghaie N, Tinati MA (2016) Localization of WSN nodes based on NLOS identification using AOAs statistical information. In: 2016 24th Iranian Conference on Electrical Engineering (ICEE), pp 496–501

13.

Deng Z, Zheng X, Zhang C, Wang H, Yin L, Liu W (2020) A TDOA and PDR fusion method for 5G indoor localization based on virtual base stations in unknown areas. IEEE Access 8:225123–225133CrossRef

14.

Sun R, Wang G, Fan Z, Xu T, Ochieng WY (2020) An integrated urban positioning algorithm using matching, particle swam optimized adaptive neuro fuzzy inference system and a spatial city model. IEEE Trans Veh Technol 69(5):4842–4854CrossRef

15.

Cheng L, Hang J, Wang Y, Bi Y (2019) A fuzzy C-means and hierarchical voting based rssi quantify localization method for wireless sensor network. IEEE Access 7:47411–47422CrossRef

16.

Wang Y, Gu K, Wu Y, Dai W, Shen Y (2020) NLOS effect mitigation via spatial geometry exploitation in cooperative localization. IEEE Trans Wireless Commun 19(9):6037–6049CrossRef

17.

Silva B, Hancke GP (2020) Ranging error mitigation for through-the-wall non-line-of-sight conditions. IEEE Trans Ind Inform 16(11):6903–6911

18.

Liao J, Chen B (2006) Robust mobile location estimator with NLOS mitigation using interacting multiple model algorithm. IEEE Trans Wireless Commun 5(11):3002–3006CrossRef

19.

Zhang Y, Chen HS, Luo Y (2014) A novel infrared landmark indoor positioning method based on improved IMM-UKF. Mech Mater 511–512

20.

Sun Y, Yang S, Wang G, Chen H (2021) Robust RSS-based source localization with unknown model parameters in mixed LOS/NLOS environments. IEEE Trans Veh Technol 70(4):3926–3931CrossRef

21.

Ho T (2013) Urban location estimation for mobile cellular networks: a fuzzy-tuned hybrid systems approach. IEEE Trans Wireless Commun 12(5):2389–2399CrossRef

22.

Ho T (2015) Robust urban wireless localization: synergy between data fusion, modeling and intelligent estimation. IEEE Trans Wireless Commun 14(2):685–697CrossRef

23.

Yang CY, Chen BS, Liao FK (2010) Mobile location estimation using fuzzy-based IMM and data fusion. IEEE Trans Mobile Comput 9(10):1424–1436CrossRef

24.

Oussalah M, De Schutter J (2002) Hybrid fuzzy probabilistic data association filter and joint probabilistic data association filter. Inf Sci 142:195–226CrossRefMATH

25.

Liangqun Li, Hongbing Ji, Xinbo G (2006) Maximum entropy fuzzy clustering with application to real-time target tracking. Signal Process 86:3432–3447CrossRefMATH

26.

Satapathi GS, Srihari P (2018) Rough fuzzy joint probabilistic association for tracking multiple targets in the presence of ECM. Expert Syst Appl 106:132–140CrossRef

27.

Kumar S, Tiwari SN, Hegde RM (2015) Sensor node tracking using semi-supervised Hidden Markov Models. Ad Hoc Netw 33:55–70CrossRef

28.

Alfakih M, Keche M, Benoudnine H, Meche A (2020) Improved Gaussian mixture modeling for accurate Wi-Fi based indoor localization systems. Phys Commun 43

29.

Wylie MP, Holtzman J (1996) The non-line of sight problem in mobile location estimation. Proc IEEE Univ Personal Commun Conf 2:827–831CrossRef

30.

Cheng L, Xue M, Liu Z, Wang Y (2019) A robust tracking algorithm based on a probability data association for a wireless sensor network. Appl Sci 10

31.

Bar-Shalom Y, Fortmann TE (1981) Tracking and data association. Academic Press, New YorkMATH

32.

Fitzgerald RJ (1990) Development of practical PDA logic for multitarget tracking by microprocessor. In: Bar-Shalom Y (ed) Multitarget-multisensory tracking: Advanced application. Artech House, Noor wood, MA, pp 1–23

33.

Hammes U, Zoubir AM (2011) Robust MT tracking based on M-estimation and interacting multiple model algorithm. IEEE Trans Signal Process 59(7):3398–3409MathSciNetCrossRefMATH

34.

Cheng L, Zhang H, Wei D, Zhou J (2022) An indoor tracking algorithm based on particle filter and nearest neighbor data fusion for wireless sensor networks. Remote Sens 14(22):5791CrossRef

Titel: A mobile localization algorithm based on fuzzy estimation for serious NLOS scenes
verfasst von: Yan Wang
Yuxin Gong
Huikang Yang
Publikationsdatum: 20.07.2023
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 5/2023
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-023-01524-7

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