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Letter

Multipath Map Method for TDOA Based Indoor Reverse Positioning System with Improved Chan-Taylor Algorithm

by 1,2, 1,2,*, 1,2, 1,2, 1,2, 3 and 1,2
1
Engineering Center of SHMEC for Space Information and GNSS, East China Normal University, Shanghai 200241, China
2
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China
3
Shanghai Institute of Technology, Shanghai 201418, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3223; https://doi.org/10.3390/s20113223
Received: 25 April 2020 / Revised: 26 May 2020 / Accepted: 2 June 2020 / Published: 5 June 2020
(This article belongs to the Special Issue Wireless Communication in Internet of Things)
We study wireless indoor positioning systems where multiple synchronized infrastructure devices simultaneously receive signals from an object of interest whose arrival times are measured. The positioning performance is degraded by unresolvable channel multipath and non-line-of-sight (NLOS) reflctions which cause a bias in the time difference of arrival (TDOA) measurements. In order to reduce the negative effect of multi-path, a Multi-Path Map (MPM) method based on spatial domain modeling principle in the reverse positioning framework with good robustness is proposed. Meanwhile, an improved non-linear iterative algorithm with height component constrained which reduces the complexity is introduced to calculate the coordinates so that the performance of the MPM can be verified. By using the MPM measurements as pre-calibration information to compensate the TDOA observed value, the accuracy of the cooperative location based on a UWB device is 6.45 cm, which achieves 63% improvement than that of none MPM used. View Full-Text
Keywords: multipath; TDOA; reverse positioning; Chan-Taylor multipath; TDOA; reverse positioning; Chan-Taylor
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MDPI and ACS Style

Hua, C.; Zhao, K.; Dong, D.; Zheng, Z.; Yu, C.; Zhang, Y.; Zhao, T. Multipath Map Method for TDOA Based Indoor Reverse Positioning System with Improved Chan-Taylor Algorithm. Sensors 2020, 20, 3223. https://doi.org/10.3390/s20113223

AMA Style

Hua C, Zhao K, Dong D, Zheng Z, Yu C, Zhang Y, Zhao T. Multipath Map Method for TDOA Based Indoor Reverse Positioning System with Improved Chan-Taylor Algorithm. Sensors. 2020; 20(11):3223. https://doi.org/10.3390/s20113223

Chicago/Turabian Style

Hua, Cheng, Kun Zhao, Danan Dong, Zhengqi Zheng, Chao Yu, Yu Zhang, and Tiantian Zhao. 2020. "Multipath Map Method for TDOA Based Indoor Reverse Positioning System with Improved Chan-Taylor Algorithm" Sensors 20, no. 11: 3223. https://doi.org/10.3390/s20113223

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