223 / 2020-01-02 11:34:00
Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization
Ambiguity function; frequency diverse array; multiple-input multiple-output
Draft Accepted
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
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.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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