Citation: | Haoyu Yang, Yuanshuo Wang, Dongchen Li, Tiancheng Li. An Indoor Localization Approach Based on Fingerprint and Time-Difference of Arrival Fusion[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(6): 570-583.doi:10.15918/j.jbit1004-0579.2022.060 |
[1] |
A. Perttula, H. Leppakoski, M. Kirkko-Jaakkola, P. Davidson, J. Collin, and J. Takala,“Distributed indoor positioning system with inertial measurements and map matching,”
IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 11, pp. 2682-2695, 2014.
doi:10.1109/TIM.2014.2313951
|
[2] |
S. Faraz, A. M. Dar, and H. Tariq, “Integrating hungarian and a* search for indoor navigation of hypermarkets, ” in
First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, Pakistan, pp. 1-5, 2017.
|
[3] |
T. Chuenurajit, S. Phimmasean, and P. Cherntanomwong, “Robustness of 3d indoor localization based on fingerprint technique in wireless sensor networks, ” in
10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Krabi, Thailand, pp. 1-6, 2013.
|
[4] |
R. Shirai and M. Hashimoto,“DC magnetic field based 3D localization with single anchor coil,”
IEEE Sensors Journal, vol. 20, no. 7, pp. 3902-3913, 2020.
doi:10.1109/JSEN.2019.2961365
|
[5] |
N. Bulusu, J. Heidemann, and D. Estrin,“GPS-less low-cost outdoor localization for very small devices,”
IEEE Personal Communications, vol. 7, no. 5, pp. 28-34, 2000.
doi:10.1109/98.878533
|
[6] |
P. Davidson and R. Piché,“A survey of selected indoor positioning methods for smartphones,”
IEEE Communications Surveys and Tutorials, vol. 19, no. 2, pp. 1347-1370, 2017.
doi:10.1109/COMST.2016.2637663
|
[7] |
A. Poulose, O. S. Eyobu, and D. S. Han,“An indoor position-estimation algorithm using smartphone IMU sensor data,”
IEEE Access, vol. 7, pp. 11165-11177, 2019.
doi:10.1109/ACCESS.2019.2891942
|
[8] |
A. Konstantinidis, G. Chatzimilioudis, D. Zeinalipour-Yazti, P. Mpeis, N. Pelekis, and Y. Theodoridis,“Privacy-preserving indoor localization on smartphones,”
IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 11, pp. 3042-3055, 2015.
doi:10.1109/TKDE.2015.2441724
|
[9] |
I. Sharp and K. Yu,“Indoor toa error measurement, modeling, and analysis,”
IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 9, pp. 2129-2144, 2014.
doi:10.1109/TIM.2014.2308995
|
[10] |
M. Compagnoni, A. Pini, A. Canclini, P. Bestagini, F. Antonacci, S. Tubaro, and A. Sarti,“A geometrical-statistical approach to outlier removal for tdoa measurements,”
IEEE Transactions on Signal Processing, vol. 65, no. 15, pp. 3960-3975, 2017.
doi:10.1109/TSP.2017.2701311
|
[11] |
S. He and S. H. G. Chan,“Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons,”
IEEE Communications Surveys and Tutorials, vol. 18, no. 1, pp. 466-490, 2016.
doi:10.1109/COMST.2015.2464084
|
[12] |
L. Gui, X. Huang, F. Xiao, Y. Zhang, F. Shu, J. Wei, and T. Val,“DV-HOP localization with protocol sequence based access,”
IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 9972-9982, 2018.
doi:10.1109/TVT.2018.2864270
|
[13] |
J. Xu, K. Chen, and E. Cheng, “An improved APIT localization algorithm for underwater acoustic sensor networks, ” in
IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xiamen, China, pp. 1-5,2017.
|
[14] |
M. Horiba, E. Okamoto, T. Shinohara, and K. Matsumura, “An improved NLOS detection scheme using stochastic characteristics for indoor localization, ” in
International Conference on Information Networking (ICOIN), Siem Reap, Cambodia, pp. 478-482, 2015.
|
[15] |
Y. Wang and K. C. Ho,“Unified near-field and far-field localization for AOA and hybrid AOA-TDOA positionings,”
IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 1242-1254, 2018.
doi:10.1109/TWC.2017.2777457
|
[16] |
F. Yu, M. Jiang, J. Liang, X. Qin, M. Hu, T. Peng, and X. Hu, “Expansion RSS-based indoor localization using 5G Wi-Fi signal, ” in
International Conference on Computational Intelligence and Communication Networks, Bhopal, India, pp. 510-514, 2014.
|
[17] |
M. Youssef and A. Agrawala, “The Horus wlan location determination system, ” in
Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, ser. MobiSys’05, Seattle, Washington, pp. 205-218, 2005.
|
[18] |
M. Youssef and A. Agrawala,“The Horus location determination system,”
Wireless Networks, vol. 14, no. 3, pp. 357-374, 2008.
doi:10.1007/s11276-006-0725-7
|
[19] |
R. Battiti, T. Lê, and A. Villani, “Location-aware computing: A neural network model for determining location in wireless LANS,” University of Trento, Technical Report DIT-02-0083, 2002.
|
[20] |
X. Wang, L. Gao, S. Mao, and S. Pandey,“Csi-based fingerprinting for indoor localization: A deep learning approach,”
IEEE Transactions on Vehicular Technology, vol. 66, no. 1, pp. 763-776, 2017.
|
[21] |
X. Zhang, Z. Yang, C. Wu, W. Sun, Y. Liu, and K. Xing,“Robust trajectory estimation for crowdsourcing-based mobile applications,”
IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 7, pp. 1876-1885, 2014.
doi:10.1109/TPDS.2013.250
|
[22] |
Y. T. Bai, S. Q. Wu, G. Retscher, A. Kealy, L. Holden, M. Tomko, A. Borriak, B. Hu, H. R. Wu, and K. Zhang,“A new method for improving Wi-Fi-based indoor positioning accuracy,”
Journal of Location Based Services, vol. 8, pp. 135-147, 2014.
|
[23] |
Z. Chen, H. Zou, H. Jiang, Q. Zhu, Y. C. Soh, and L. Xie,“Fusion of Wi-Fi, smartphone sensors and landmarks using the kalman filter for indoor localization,”
Sensors, vol. 15, no. 1, pp. 715-732, 2015.
doi:10.3390/s150100715
|
[24] |
J. Perul and V. Renaudin, “Building individual inertial signals models to estimate PDR walking direction with smartphone sensors, ” in
International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, France, pp. 1-8, 2018.
|
[25] |
S. Yoshimi, K. Kanagu, M. Mochizuki, K. Murao, and N. Nishio, “PDR trajectory estimation using pedestrian-space constraints: real world evaluations, ” in
Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, Osaka, Japan, 2015.
|
[26] |
T. Li, H. Fan, J. García, and J. M. Corchado,“Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking,”
Information Fusion, vol. 51, pp. 233-243, 2019.
doi:10.1016/j.inffus.2019.02.009
|
[27] |
T. Li, X. Wang, Y. Liang, and Q. Pan,“On arithmetic average fusion and its application for distributed multi-Bernoulli multitarget tracking,”
IEEE Transactions on Signal Processing, vol. 68, pp. 2883-2896, 2020.
|
[28] |
T. Li, Y. Xin, Z. Liu, and K. Da,“Best fit of mixture for multi-sensor poisson multi-bernoulli mixture filtering,”
Signal Processing, vol. 202, pp. 108739, 2023.
doi:10.1016/j.sigpro.2022.108739
|
[29] |
L. Ljung,“Asymptotic behavior of the extended kalman filter as a parameter estimator for linear systems,”
IEEE Transactions on Automatic Control, vol. 24, no. 1, pp. 36-50, 1979.
doi:10.1109/TAC.1979.1101943
|
[30] |
S. Julier and J. Uhlmann,“Unscented filtering and nonlinear estimation,”
Proceedings of the IEEE, vol. 92, no. 3, pp. 401-422, 2004.
doi:10.1109/JPROC.2003.823141
|
[31] |
F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P. J. Nordlund,“Particle filters for positioning, navigation, and tracking,”
IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 425-437, 2002.
doi:10.1109/78.978396
|
[32] |
T. Guo, C. Li, C. Liu, and H. Huang, “A fusion indoor positioning algorithm based on the improved wknn and pedestrian dead reckoning, ” in
2020 IEEE 20th International Conference on Communication Technology (ICCT), Nanning, China, pp. 552-558, 2020.
|
[33] |
U. Bolat and M. Akcakoca, “A hybrid indoor positioning solution based on Wi-Fi, magnetic field, and inertial navigation, ” in
14th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, Germany, pp. 1-6, 2017.
|
[34] |
Q. Lu, X. Liao, S. Xu, and W. Zhu, “A hybrid indoor positioning algorithm based on Wi-Fi fingerprinting and pedestrian dead reckoning, ” in
IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, Spain, pp. 1-6, 2016.
|
[35] |
R. Ijaz, M. A. Pasha, N. U. Hassan, and C. Yuen, “A novel fusion methodology for indoor positioning in iot-based mobile applications, ” in
IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, pp. 742-747, 2018.
|
[36] |
T. D. Vy, T. L. N. Nguyen, and Y. Shin, “A smartphone indoor localization using inertial sensors and single Wi-Fi access point, ” in
International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy, pp. 1-7, 2019.
|
[37] |
S. Han, Z. Gong, W. Meng, C. Li, D. Zhang, and W. Tang,“Automatic precision control positioning for wireless sensor network,”
IEEE Sensors Journal, vol. 16, no. 7, pp. 2140-2150, 2016.
doi:10.1109/JSEN.2015.2506166
|
[38] |
W. H. FOY,“Position-location solutions by taylor-series estimation,”
IEEE Transactions on Aerospace and Electronic Systems, vol. AES-12, no. 2, pp. 187-194, 1976.
doi:10.1109/TAES.1976.308294
|
[39] |
Y. T. Chan and K. C. Ho,“A simple and efficient estimator for hyperbolic location,”
IEEE Transactions on Signal Processing, vol. 42, no. 8, pp. 1905-1915, 1994.
doi:10.1109/78.301830
|
[40] |
A. Jimenez, F. Seco, C. Prieto, and J. Guevara,“A comparison of pedestrian dead-reckoning algorithms using a low-cost MEMS IMU,”
|
[41] |
F. Li, C. Zhao, G. Ding, J. Gong, C. Liu, and F. Zhao, “A reliable and accurate indoor localization method using phone inertial sensors, ” in
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, New York, NY, USA, pp. 421-430, 2012.
|
[42] |
L. F. Shi, Y. Wang, G. X. Liu, S. Chen, Y. L. Zhao, and Y. F. Shi,“A fusion algorithm of indoor positioning based on PDR and RSS fingerprint,”
IEEE Sensors Journal, vol. 18, no. 23, pp. 9691-9698, 2018.
doi:10.1109/JSEN.2018.2873052
|
[43] |
T. Li, J. M. Corchado, J. Bajo, S. Sun, and J. F. De Paz,“Effectiveness of bayesian filters: An information fusion perspective,”
Information Sciences, vol. 329, pp. 670-689, 2016.
doi:10.1016/j.ins.2015.09.041
|
[44] |
T. Li, M. Bolic, and P. M. Djuric,“Resampling methods for particle filtering: Classification, implementation, and strategies,”
IEEE Signal Processing Magazine, vol. 32, no. 3, pp. 70-86, 2015.
doi:10.1109/MSP.2014.2330626
|
[45] |
W. Kang and Y. Han,“SmartPDR: Smartphone-based pedestrian dead reckoning for indoor localization,”
IEEE Sensors Journal, vol. 15, no. 5, pp. 2906-2916, 2015.
doi:10.1109/JSEN.2014.2382568
|
[46] |
H. Yang, Z. Hu, D. Li, and T. Li, “An effective 3D indoor localization approach based on fingerprint fusion positioning, ” in
2021 International Conference on Control, Automation and Information Sciences (ICCAIS), Xi’an, China, pp. 892-897, 2021.
|