基于毫米波MIMO雷达的三维轮廓成像

2022 7th International Conference on Communication, Image and Signal Processing (CCISP) Pub Date : 2022-11-01 DOI:10.1109/CCISP55629.2022.9974203

Wei Li, Dandan Li, Jiahao Jiang, Yang Gao

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引用次数: 1

摘要

毫米波雷达在多种场景下具有全天候、全天探测的优势，但其角度分辨率较低，难以满足三维成像的需求。本文采用64 GHz MIMO毫米波雷达，采用20个Tx天线和20个Rx天线来提高雷达的角分辨率。雷达原始信号首先通过三维快速傅立叶变换(3D-FFT)算法进行处理。然后采用双通道恒虚警检测(CFAR)算法提取目标，该算法可以同时在两个维度上识别云点;通过对点云进行双线性插值，得到三维轮廓图像。以金属球桩为目标进行雷达成像实验。实验结果表明，该雷达可以获得高分辨率的三维轮廓图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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3D contour imaging based on a Millimeter wave MIMO radar

Millimeter wave radar has the advantage of all-weather and all-day detection in a variety of scenarios, but its low angular resolution makes it difficult to meet the demand for three-dimensional imaging. In this paper, a 64 GHz MIMO millimeter wave radar with 20 Tx antennas and 20 Rx antennas is used to improve the angular resolution. The radar raw signal is first processed by a three-dimensional fast Fourier Transform (3D-FFT) algorithm. Then the target is extracted using the dual-channel constant false alarm detection (CFAR) algorithm, which can discriminate the cloud points in two dimensions simultaneously. Through bilinear interpolation of the cloud of points, a 3D contour image can be obtained. The radar imaging experiment is carried out with the metal ball pile as the target. The experimental results show that the radar can obtain a high resolution three-dimensional contour image.

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来源期刊

2022 7th International Conference on Communication, Image and Signal Processing (CCISP)

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