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In this article, a joint estimation algorithm is proposed to determine building layouts and target positions by leveraging multi-domain associations, encompassing both spatial and time domain information. Initially, a multipath echo model is formulated for multiple targets in non-line-of-sight (NLOS) scenarios using multiple-input-multiple-output (MIMO) radar. A path recognition strategy is then introduced, which comprehensively considers the direction of departure (DoD) and direction of arrival (DoA) relationships of multipath signals. Following the path recognition process, angle and range data of the targets are utilized to estimate the building layout and locate the targets. The feasibility of this algorithm is ultimately validated through electromagnetic (EM) simulations.

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Joint Estimation of NLOS Building Layout and Target Position Based on Multi-domain Association

  • 会议论文

  • 发表日期：

    2025年

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  • Zihan Xu,
  • Chen Qiu,
  • Shisheng Guo,
  • Shucheng Xue,
  • Zhihao Zhu,
  • Peilun Wu,
  • Ningning Wu,
  • Jiahui Chen,
  • Guolong Cui

摘要

In this article, a joint estimation algorithm is proposed to determine building layouts and target positions by leveraging multi-domain associations, encompassing both spatial and time domain information. Initially, a multipath echo model is formulated for multiple targets in non-line-of-sight (NLOS) scenarios using multiple-input-multiple-output (MIMO) radar. A path recognition strategy is then introduced, which comprehensively considers the direction of departure (DoD) and direction of arrival (DoA) relationships of multipath signals. Following the path recognition process, angle and range data of the targets are utilized to estimate the building layout and locate the targets. The feasibility of this algorithm is ultimately validated through electromagnetic (EM) simulations.