A Robust Detection and Optimization Approach for Delayed Measurements in UWB Particle-Filter-Based Indoor Positioning

REFERENCES

1. ↵
   1. Abbasi, A., &
   2. Kahaei, M. H.

   (2009). Improving source localization in LOS and NLOS multipath environments for UWB signals. 2009 14th International CSI Computer Conference, Tehran, Iran.
2. ↵
   1. Al-Samman, A. M.,
   2. Rahman, T. A.,
   3. Hadri, M.,
   4. Khan, I., &
   5. Chua, T. H.

   (2017). Experimental UWB indoor channel characterization in stationary and mobility scheme. Measurement, 111, 333–339. https://doi.org/10.1016/j.measurement.2017.07.053
3. ↵
   1. Alavi, B., &
   2. Pahlavan, K.

   (2006). Modeling of the TOA-based distance measurement error using UWB indoor radio measurements. IEEE Communications Letters, 10(4), 275–277. https://doi.org/10.1109/LCOMM.2006.1613745

   CrossRef
4. ↵
   1. Albaidhani, A.,
   2. Morell, A., &
   3. Vicario, J. L.

   (2016). Ranging in UWB using commercial radio modules: Experimental validation and NLOS mitigation. 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcala de Henares, Spain. https://doi.org/10.1109/IPIN.2016.7743639
5. ↵
   1. Basiri, A.,
   2. Lohan, E. S.,
   3. Moore, T.,
   4. Winstanley, A.,
   5. Peltola, P.,
   6. Hill, C.,
   7. Amirian, P., &
   8. Figueiredo e Silva, P.

   (2017). Indoor location based services challenges, requirements, and usability of current solutions. Computer Science Review, 24, 1–12. https://doi.org/10.1016/j.cosrev.2017.03.002
6. ↵
   1. Borras, J.,
   2. Hatrack, P., &
   3. Mandayam, N.

   (1998). Decision theoretic framework for NLOS identification. 48th IEEE Vehicular Technology Conference, Ottawa, ON, Canada. https://doi.org/10.1109/VETEC.1998.686556
7. ↵
   1. Cao, B.,
   2. Wang, S.,
   3. Ge, S., &
   4. Liu, W.

   (2020). Improving positioning accuracy of UWB in complicated underground NLOS scenario using calibration, VBUKF, and WCA. IEEE Transactions on Instrumentation and Measurement, 70, 1–13. https://doi.org/10.1109/TIM.2020.3035579
8. ↵
   1. Casas, R.,
   2. Marco, A.,
   3. Guerrero, J. J., &
   4. Falcó, J.

   (2006). Robust estimator for non-line-of-sight error mitigation in indoor localization. EURASIP Journal on Advances in Signal Processing. https://doi.org/10.1155/asp/2006/43429
9. ↵
   1. Chen, P. -C.

   (1999). A non-line-of-sight error mitigation algorithm in location estimation. 1999 IEEE Wireless Communications Networking Conference, New Orleans, LA. https://doi.org/10.1109/WCNC.1999.797838
10. ↵
    1. Chen, Z.

    (2003). Bayesian filtering: From Kalman filters to particle filters, and beyond. Statistics: A Journal of Theoretical and Applied Statistics, 182(1). https://doi.org/10.1080/02331880309257
11. ↵
    1. Cong, L., &
    2. Zhuang, W.

    (2005). Nonline-of-sight error mitigation in mobile location. IEEE Transactions on Wireless Communications, 4(2), 560–573. https://doi.org/10.1109/TWC.2004.843040

    CrossRefWeb of Science
12. ↵
    1. Djaja-Josko, V., &
    2. Kolakowski, M.

    (2017). A new map based method for NLOS mitigation in the UWB indoor localization system. 2017 25th Telecommunication Forum (TELFOR), Belgrade, Serbia. https://doi.org/10.1109/TELFOR.2017.8249314
13. ↵
    1. Feng, D.,
    2. Wang, C.,
    3. He, C.,
    4. Zhuang, Y., &
    5. Xia, X. -G.

    (2020). Kalman-filter-based integration of IMU and UWB for high-accuracy indoor positioning and navigation. IEEE Internet of Things Journal, 7(4), 3133–3146. https://doi.org/10.1109/JIOT.2020.2965115
14. ↵
    1. Gezici, S.,
    2. Kobayashi, H., &
    3. Poor, H. V.

    (2003). Nonparametric nonline-of-sight identification. 2003 IEEE 58th Vehicular Technology Conference, Orlando, FL. https://doi.org/10.1109/VETECF.2003.1285996
15. ↵
    1. González, J.,
    2. Blanco, J. L.,
    3. Galindo, C.,
    4. Ortiz-De-Galisteo, A.,
    5. Fernández-Madrigal, J. A.,
    6. Moreno, F. A., &
    7. Martínez, J. L.

    (2009). Mobile robot localization based on ultra-wide-band ranging: A particle filter approach. Robotics and Autonomous Systems, 57(5), 496–507. https://doi.org/10.1016/j.robot.2008.10.022

    CrossRef
16. ↵
    1. Gordon, N. J.,
    2. Salmond, D. J., &
    3. Smith, A. F. M.

    (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings F (Radar and Signal Processing), 140(2), 107–113. https://doi.org/10.1049/ip-f-2.1993.0015

    CrossRefWeb of Science
17. 1. Güvenç, I.,
    2. Chong, C. -C.,
    3. Watanabe, F., &
    4. Inamura, H.

    (2008). NLOS identification and weighted least-squares localization for UWB systems using multipath channel statistics. EURASIP Journal on Advances in Signal Processing. https://doi.org/10.1155/2008/271984
18. ↵
    1. Hammes, U., &
    2. Zoubir, A. M.

    (2010). Robust mobile terminal tracking in NLOS environments based on data association. IEEE Transactions on Signal Processing, 58(11), 5872–5882. https://doi.org/10.1109/TSP.2010.2063425
19. ↵
    1. Heidari, M.,
    2. Akgul, F. O., &
    3. Pahlavan, K.

    (2007). Identification of the absence of direct path in indoor localization systems. 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece. https://doi.org/10.1109/PIMRC.2007.4394450
20. ↵
    1. Hol, J. D.,
    2. Schon, T. B., &
    3. Gustafsson, F.

    (2006). On resampling algorithms for particle filters. 2006 IEEE Nonlinear Statistical Signal Processing Workshop, Cambridge, UK. https://doi.org/10.1109/NSSPW.2006.4378824
21. ↵
    1. Jiang, H.,
    2. Xu, J., &
    3. Li, Z.

    (2010). NLOS mitigation method for TDOA measurement. 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, Germany. https://doi.org/10.1109/IIHMSP.2010.56
22. ↵
    1. Khodjaev, J.,
    2. Park, Y., &
    3. Malik, A. S.

    (2010). Survey of NLOS identification and error mitigation problems in UWB-based positioning algorithms for dense environments. Annals of Telecommunications, 65, 301–311. https://doi.org/10.1007/s12243-009-0124-z
23. ↵
    1. Lau, L.,
    2. Quan, Y.,
    3. Wan, J.,
    4. Zhou, N.,
    5. Wen, C.,
    6. Qian, N., &
    7. Jing, F.

    (2018). An autonomous ultra-wide band-based attitude and position determination technique for indoor mobile laser scanning. ISPRS International Journal of Geo-Information, 7(4). https://doi.org/10.3390/ijgi7040155
24. ↵
    1. Le, B. L.,
    2. Ahmed, K., &
    3. Tsuji, H.

    (2003). Mobile location estimator with NLOS mitigation using Kalman filtering. 2003 IEEE Wireless Communications and Networking, New Orleans, LA. https://doi.org/10.1109/WCNC.2003.1200689
25. ↵
    1. Liu, L., &
    2. Fan, P.

    (2010). An efficient geometry-constrained NLOS mitigation algorithm based on ML-detection. IET 3rd International Conference on Wireless, Mobile and Multimedia Networks, Beijing, China. https://doi.org/10.1049/cp.2010.0687
26. ↵
    1. Macoir, N.,
    2. Bauwens, J.,
    3. Jooris, B.,
    4. Van Herbruggen, B.,
    5. Rossey, J.,
    6. Hoebeke, J., &
    7. De Poorter, E.

    (2019). UWB localization with battery-powered wireless backbone for drone-based inventory management. Sensors, 19(3), 467. https://doi.org/10.3390/s19030467
27. ↵
    1. Maranò, S.,
    2. Gifford, W. M.,
    3. Wymeersch, H., &
    4. Win, M. Z.

    (2010). NLOS identification and mitigation for localization based on UWB experimental data. IEEE Journal on Selected Areas in Communications, 28(7), 1026–1035. https://doi.org/10.1109/JSAC.2010.100907

    CrossRef
28. ↵
    1. Pak, J. M.,
    2. Ahn, C. K.,
    3. Shi, P.,
    4. Shmaliy, Y. S., &
    5. Lim, M. T.

    (2017). Distributed hybrid particle/FIR filtering for mitigating NLOS effects in TOA-based localization using wireless sensor networks. IEEE Transactions on Industrial Electronics, 64(6), 5182–5191. https://doi.org/10.1109/TIE.2016.2608897
29. ↵
    1. Parikh, H. K., &
    2. Michalson, W. R.

    (2008). Impulse radio UWB or multicarrier UWB for non-GPS based indoor precise positioning systems. NAVIGATION, 55(1), 29–37. https://doi.org/10.1002/j.2161-4296.2008.tb00416.x
30. ↵
    1. Sahinoglu, Z.,
    2. Gezici, S., &
    3. Guvenc, I.

    (2008). Ultra-wideband positioning systems: Theoretical limits, ranging algorithms, and protocols. Cambridge University Press.
31. ↵
    1. Savic, V., &
    2. Larsson, E. G.

    (2016). Experimental study of indoor tracking using UWB measurements and particle filtering. 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications, Edinburgh, UK. https://doi.org/10.1109/SPAWC.2016.7536853
32. ↵
    1. Shen, G.,
    2. Zetik, R.,
    3. Hirsch, O., &
    4. Thomä, R. S.

    (2010). Range-based localization for UWB sensor networks in realistic environments. EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1155/2010/476598
33. ↵
    1. Suzuki, T.

    (2019). Mobile robot localization with GNSS multipath detection using pseudorange residuals. Advanced Robotics, 33(12), 602–613. https://doi.org/10.1080/01691864.2019.1619622
34. ↵
    1. Uren, J., &
    2. Price, B.

    (2010). Surveying for engineers (5th ed.). Basingstoke: Palgrave Macmillan.
35. ↵
    1. Venkatraman, S.,
    2. Caffery, J., &
    3. You, H. -R.

    (2002). Location using LOS range estimation in NLOS environments. IEEE 55th Vehicular Technology Conference, Birmingham, AL. https://doi.org/10.1109/VTC.2002.1002609
36. ↵
    1. Wang, S.,
    2. Wang, S.,
    3. Liu, W., &
    4. Tian, Y.

    (2020). A study on the optimization nodes arrangement in UWB localization. Measurement, 163. https://doi.org/10.1016/j.measurement.2020.108056
37. ↵
    1. Wang, Y., &
    2. Li, X.

    (2017). The IMU/UWB fusion positioning algorithm based on a particle filter. ISPRS International Journal of Geo-Information, 6(8). https://doi.org/10.3390/ijgi6080235
38. ↵
    1. Wu, S.,
    2. Li, J., &
    3. Liu, S.

    (2014). Single threshold optimization and a novel double threshold scheme for non-line-of-sight identification. International Journal of Communication Systems, 27(10), 2156–2165. https://doi.org/10.1002/dac.2464
39. ↵
    1. Wu, S.,
    2. Ma, Y.,
    3. Zhang, Q., &
    4. Zhang, N.

    (2007). NLOS error mitigation for UWB ranging in dense multipath environments. 2007 IEEE Wireless Communications and Networking Conference, Hong Kong, China. https://doi.org/10.1109/WCNC.2007.295
40. ↵
    1. Wymeersch, H.,
    2. Marano, S.,
    3. Gifford, W. M., &
    4. Win, M. Z.

    (2012). A machine learning approach to ranging error mitigation for UWB localization. IEEE Transactions on Communications, 60(6), 1719–1728. https://doi.org/10.1109/TCOMM.2012.042712.110035

    CrossRef
41. ↵
    1. Yan, J.,
    2. Tiberius, C. C. J. M.,
    3. Bellusci, G., &
    4. Janssen, G. J. M.

    (2013). Non-line-of-sight identification for indoor positioning using ultra-wideband radio signals. NAVIGATION, 60(2), 97–111. https://doi.org/10.1002/navi.31
42. ↵
    1. Yin, F.,
    2. Fritsche, C.,
    3. Gustafsson, F., &
    4. Zoubir, A. M.

    (2013). TOA-based robust wireless geolocation and Cramér-Rao lower bound analysis in harsh LOS/NLOS environments. IEEE Transactions on Signal Processing, 61(9), 2243–2255. https://doi.org/10.1109/TSP.2013.2251341
43. ↵
    1. Yousefi, S.,
    2. Chang, X. -W., &
    3. Champagne, B.

    (2014). Distributed cooperative localization in wireless sensor networks without NLOS identification. 2014 11th Workshop on Positioning, Navigation and Communication, Dresden, Germany. https://doi.org/10.1109/WPNC.2014.6843290
44. ↵
    1. Yu, K., &
    2. Guo, Y. J.

    (2007). NLOS error mitigation for mobile location estimation in wireless networks. 2007 IEEE 65th Vehicular Technology Conference, Dublin, Ireland. https://doi.org/10.1109/VETECS.2007.228
45. ↵
    1. Yu, K.,
    2. Wen, K.,
    3. Li, Y.,
    4. Zhang, S., &
    5. Zhang, K.

    (2018). A novel NLOS mitigation algorithm for UWB localization in harsh indoor environments. IEEE Transactions on Vehicular Technology, 68(1), 686–699. https://doi.org/10.1109/TVT.2018.2883810
46. ↵
    1. Zhang, Y., &
    2. Duan, L.

    (2021). A phase-difference-of-arrival assisted ultra-wideband positioning method for elderly care. Measurement, 170. https://doi.org/10.1016/j.measurement.2020.108689
47. ↵
    1. Zhao, X.,
    2. Geng, S., &
    3. Coulibaly, B. M.

    (2013). Path-loss model including LOS-NLOS transition regions for indoor corridors at 5 GHz. IEEE Antennas and Propagation Magazine, 55(3), 217–223. https://doi.org/10.1109/MAP.2013.6586668
48. ↵
    1. Zhou, N.,
    2. Lau, L.,
    3. Bai, R., &
    4. Moore, T.

    (2021a). A genetic optimization resampling based particle filtering algorithm for indoor target tracking. Remote Sensing, 13(1). https://doi.org/10.3390/rs13010132
49. ↵
    1. Zhou, N.,
    2. Lau, L.,
    3. Bai, R., &
    4. Moore, T.

    (2021b). Novel prior position determination approaches in particle filter for ultra wideband (UWB)-based indoor positioning. NAVIGATION, 68(2), 277–292. https://doi.org/10.1002/navi.415