摘要详情

ID / 提交时间

223 / 2020-01-02 11:34:00

标题

Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization

关键字

Ambiguity function; frequency diverse array; multiple-input multiple-output

主题及专题

IEEE SAM 2020: Full Regular Papers

状态

全文录用

作者

Ziting Xu / University of Electronic Science and Technology of China, China

Bang Huang / University of Electronic Science and Technology of China, China

Huawei Hu / University of Electronic Science and Technology of China, China

Hui Chen / University of Electronic Science and Technology of China, China

Wen-Qin Wang / University of Electronic Science and Technology of China, China

摘要

Frequency-diverse array (FDA) can provide a range-angle-time dependent beamforming capability that could make a difference in some radar applications. However, the joint range-angle estimation of FDA will inevitably increase the complexity
due to the coupling of range and angle. 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 of range and angle 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 TLS-ESPRIT method.