Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization
ID:52 Submission ID:223 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:396 Oral Presentation

Start Time:2020-06-09 14:20 (Asia/Shanghai)

Duration:20min

Session:[R] Regular Session » [R11] Target Detection and Localization I

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Abstract
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.
Keywords
Ambiguity function; frequency diverse array; multiple-input multiple-output
Speaker
Ziting Xu
University of Electronic Science and Technology of China, China

Submission Author
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
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