基于MSSTV方法的非视距毫米波雷达三维稀疏重建

2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE) Pub Date : 2022-08-26 DOI:10.1109/MAPE53743.2022.9935195

Xinyuan Liu, Shunjun Wei, Jinshan Wei, Jun Shi, Xiaoling Zhang, Yuanji Li

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引用次数: 0

摘要

非视距成像技术旨在从多径回波中重建隐藏目标，在城市环境感知和自动驾驶中具有广阔的应用前景。本文提出了一种基于全变分(TV)正则化的毫米波雷达隐身目标三维成像稀疏重构方法。首先，建立了NLOS毫米波雷达的三维成像模型。其次，为了保持轮廓信息，提出了一种有效的基于压缩感知理论和镜像投影的三维图像重构算法——镜像对称稀疏全变分算法(MSSTV)。最后，在不同目标的NLOS三维成像毫米波实验系统上对该算法进行了验证。

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Non-Line-of-Sight Millimeter-Wave Radar 3-D Sparse Reconstruct via MSSTV Method

Non-line-of-sight (NLOS) imaging technique aims to reconstruct the hidden objects from multi-path echoes, which is a promising application in urban environment perception and autonomous driving. In this paper, we propose a total variation (TV) regularization based sparse reconstruct method for the hidden targets 3-D imaging in the seeing around corner situation for millimeter-wave (mmW) radar. Firstly, the 3-D imaging model of NLOS mmW radar is presented. Secondly, for preserving contour information, an effective imaging algorithm with compressed sensing theory and mirror projection, dubbed mirror symmetry sparse total variation (MSSTV) is proposed for 3-D image reconstruction. Finally, the MSSTV algorithm is validated by an NLOS 3-D imaging mmW experimental system with different kinds of targets.

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来源期刊

2022 IEEE 9th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

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