基于毫米波雷达的目标定位算法

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI:10.1109/ITOEC53115.2022.9734670

Wen Dong, Tianren Sun, Jiahao Tian, Jingyi Wang, Zhi-yong Song, Q. Fu

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引用次数: 2

摘要

如何找到在火灾中被困的救援人员是首先要解决的问题。本文基于TI公司生产的AWR1642毫米波雷达传感器设计信号波形，接收回波数据。该雷达高速分辨率高，容易出现跨多普勒单元(ADU)现象，且在火力环境下目标信噪比和信杂比较小，难以实现对目标的焦点检测。此外，该雷达的角分辨率较低，难以实现精确的目标定位。通过运动目标指示(MTI)、氡-傅里叶变换(RFT)聚焦和细胞平均恒定虚警率(CA-CFAR)检测等信号处理过程估计目标的距离和速度，然后通过多信号分类(MUSIC)算法处理得到角度信息，完成目标定位。

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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A Target Location Algorithm Based on Millimeter Wave Radar

How to find the trapped rescue workers in the fire disaster is the first problem to be solved. This paper designs the signal waveform, receives the echo data based on the AWR1642 millimeter wave radar sensor produced by TI company. The radar has high speed resolution, is prone to Across Doppler Unit (ADU) phenomenon, and the target signal-to-noise ratio and signal-to-clutter ratio are small in the fire environment, so it is difficult to realize the focus detection of the target. In addition, the radar has low angular resolution and is difficult to achieve accurate target positioning. The range and velocity of the target are estimated through signal processing processes such as Moving Target Indication (MTI), Radon-Fourier Transform (RFT) focusing and cell average constant false alarm rate (CA-CFAR) detection, and then obtains the angle information through multiple signal classification (MUSIC) algorithm processing to complete the target positioning.

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来源期刊

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)

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