160 / 2019-12-15 12:16:00
MIMO Radar Localization of Targets Behind L-shaped Corners
MIMO radar imaging; multipath exploitation; NLOS signal; target localization; urban environment
Draft Accepted
Shisheng Guo / University of Electronic Science and Technology of China, China
Songlin Li / University of Electronic Science and Technology of China, China
Guolong Cui / University of Electronic Science and Technology of China (UESTC), China
Shihao Fan / University of Electronic Science and Technology of China, China
Lingjiang Kong / University of Electronic Science and Technology of China (UESTC), China
Xiaobo Yang / University of Electronic Science and Technology of China, China
Localization for moving multi-target in urban environment is difficult because of the ambiguities of targets' different multipaths. This paper considers the targets localization problem via non-line-of-sight (NLOS) signals in an L-shaped corner environment using the time-division multiple-input-multiple-output (TD-MIMO) imaging radar. We first analyse the propagation characters of the multipath signals and establish the signal model of targets hiding behind corner for TD-MIMO. Then, a novel multi-target localization algorithm by exploiting the multipath ghosts after applying back-projection (BP) imaging algorithm is proposed. Finally, we evaluate and prove the validation the proposed algorithm via several simulation results.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
Contact Information