毫米波雷达到达角估计中距离偏移误差的消除

Ferhat Can Ataman;Chethan Y. B. Kumar;Sandeep Rao;Sule Ozev
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引用次数: 0

摘要

毫米波雷达通过距离(R)、方位角($\theta $)和俯仰角($\phi $)等参数确定目标相对于雷达的位置。雷达通常通过发射啁啾信号,接收来自环境中物体的反射信号,并在接收器(RX)将这些信号组合起来来工作。在有多天线的系统中,为每个发射机(TX) -RX对计算距离,产生多个测量值,这些测量值被平均以提高精度。然而,角度估计依赖于分析天线路径之间的相位差,并且由于它涉及所有天线组件的单一计算,因此无法从平均中获益。除了随机误差外,系统误差也会影响角度估计。具体来说,物体的距离在虚拟天线(由TX-RX组合形成)之间略有变化,导致距离估计的峰值位置发生移位。这种现象称为距离迁移,它会引入误差。本文研究了距离偏移的根本原因及其对到达角估计的影响,提出了有效的解决方案,以减轻这些影响,提高角度估计的整体精度。
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Eliminating Range Migration Error in mm-Wave Radars for Angle of Arrival Estimation
Millimeter-wave (mm-Wave) radars are used to determine an object’s position relative to the radar, based on parameters such as range (R), azimuth angle ( $\theta $ ), and elevation angle ( $\phi $ ). Radars typically operate by transmitting a chirp signal, receiving the reflected signal from objects in the environment, and combining these signals at the receiver (RX). In systems with multiple antennas, the range is calculated for each transmitter (TX)–RX pair, producing multiple measurements that are averaged to improve accuracy. Angle estimation, however, relies on analyzing phase differences between antenna paths, and since it involves a single calculation across all antenna components, it does not benefit from averaging. In addition to random errors, systematic errors also affect the angle estimation. Specifically, the object’s distance varies slightly across the virtual antennas (formed by TX-RX combinations), causing shifts in the peak position of range estimation. This phenomenon, known as range migration, introduces errors. This article examines the root causes of range migration and its impact on angle of arrival (AoA) estimation, proposing effective solutions to mitigate these effects and enhance the overall accuracy of angle estimation.
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