A Two-Stage Wall Parameters Estimation Algorithm for MIMO Through-the-Wall Radar

This paper proposes a two-stage wall parameter estimation method based on multi-channel to retrieve the unknown position, thickness, and relative permittivity of wall. In the first stage, it aims to estimate the slope and intercept of the front surface of the wall. This is achieved by formulating a cost-minimization problem, where the position of the front wall is modeled using a linear analytical expression. Subsequently, in the second stage, it focuses on calculating the positions of equivalent arrays that are aligned parallel to the wall for each transmitting antenna, so as to enable the estimation of the wall’s thickness and its relative permittivity. The effectiveness of the algorithm is validated through electromagnetic simulations.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10849309
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
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A Two-Stage Wall Parameters Estimation Algorithm for MIMO Through-the-Wall Radar

Guolong Cui, Zhirun Li, Shisheng Guo, Zhihao Zhu et al.
Microwave Imaging and Scattering Analysis
article

A Two-Stage Wall Parameters Estimation Algorithm for MIMO Through-the-Wall Radar

Guolong Cui, Zhirun Li, Shisheng Guo, Zhihao Zhu, Jiahui Chen, Yutao Xiang, Chenqiu
article en

Abstract

This paper proposes a two-stage wall parameter estimation method based on multi-channel to retrieve the unknown position, thickness, and relative permittivity of wall. In the first stage, it aims to estimate the slope and intercept of the front surface of the wall. This is achieved by formulating a cost-minimization problem, where the position of the front wall is modeled using a linear analytical expression. Subsequently, in the second stage, it focuses on calculating the positions of equivalent arrays that are aligned parallel to the wall for each transmitting antenna, so as to enable the estimation of the wall’s thickness and its relative permittivity. The effectiveness of the algorithm is validated through electromagnetic simulations.

University of Electronic Science and Technology of China (CN)
Sustainable cities and communities
Openalex Percentile: Top 76%
Microwave Imaging and Scattering Analysis
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