基于模糊函数的FDA-MIMO雷达目标定位ESPRIT算法

Z. Xu, Bang Huang, Huawei Hu, Hui Chen, Wen-qin Wang
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引用次数: 4

摘要

频率变化阵列(FDA)可以提供与距离时间相关的波束形成能力,可以在某些雷达应用中发挥作用。然而,由于距离和角度响应的耦合性,FDA联合测距角估计不可避免地增加了复杂性。旋转不变性技术(ESPRIT)算法不能直接用于估计信号参数的角度和距离,因为它不满足旋转不变性准则。针对FDA和多输入多输出(MIMO)组合雷达的距离和角度耦合问题,提出了一种基于模糊函数(AF)的方法,实现高分辨率距离和角度估计。数值结果表明该方法优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization
Frequency-diverse array (FDA) can provide a rangeangle-time dependent beamforming capability that could make a difference in some radar applications. However, the joint rangeangle estimation of FDA will inevitably increase the complexity due to the coupling range and angle response. Estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm cannot be used directly to estimate the angle and range because it does not meet the rotation invariance criterion. In this paper, an ambiguity function (AF)-based method is proposed to avoid the coupling range and angle problem for the FDA and multiple-input multiple-output (MIMO) combined radar to realize high-resolution range and angle estimation. Numerical results show its advantages over conventional method.
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