Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization
编号:52 访问权限:仅限参会人 更新:2020-08-05 10:17:00 浏览:454次 口头报告

报告开始:2020年06月09日 14:20(Asia/Shanghai)

报告时间:20min

所在会场:[R] Regular Session [R11] Target Detection and Localization I

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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.
关键词
Ambiguity function; frequency diverse array; multiple-input multiple-output
报告人
Ziting Xu
University of Electronic Science and Technology of China, China

稿件作者
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
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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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