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2023 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)

NLOS Target Localization Method in Long L-shaped Scenario with SISO UWB Radar

Year: 2023, Pages: 525-530

Authors

Shucheng Xue, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China  
Shisheng Guo, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China  
Peilun Wu, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China  
Jiahui Chen, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China  
Zihan Xu, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China  
Guolong Cui, University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China
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Abstract

This paper proposes a method for locating a non-line-of-sight (NLOS) target in a long L-shaped scenario with ultra-wideband (UWB) radar. Specifically, a refined multipath signal model adapted to the scenario under consideration is established. Next, we propose a two-stage target localization method, which first exploits the diffraction path to initially determine the area where the target might exist. Then an algorithm based on the grid matching is executed to acquire the precise target localization. Finally, numerical simulation proves the feasibility of this method.
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