DOA Estimation Using Coarray Interpolation Algorithm Via Nuclear Norm Optimization for Coprime MIMO Radar
编号:47 访问权限:仅限参会人 更新:2020-08-05 10:17:00 浏览:481次 口头报告

报告开始:2020年06月09日 14:00(Asia/Shanghai)

报告时间:20min

所在会场:[R] Regular Session [R05] Beamforming and Direction-of-Arrival Estimation

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摘要
As the coprime array develops, the coprime multiple-input multiple-output (MIMO) radar has been proposed to achieve a large array aperture. However, holes also exist in the sum-difference coarray of the coprime MIMO radar, thus making the lags out of continuous range unavailable for the subspace based direction of arrival (DOA) estimation algorithm. In this paper, a coarray interpolation algorithm is proposed for the coprime MIMO radar to improve the estimation performance. The interpolation is completed by solving a nuclear norm based optimization problem, where the Toeplitz structure of the interpolated covariance matrix is exploited to reduce the computational complexity. The lags that are not continuous are utilized by using the proposed algorithm. Thus, the number of degrees of freedom (DOFs) and the estimation accuracy are improved. Numerical simulations are designed to examine the corresponding estimation performance.
关键词
DOA estimation; MIMO radar; Nuclear norm
报告人
Yu Zheng
Harbin Engineering University, China

稿件作者
Yu Zheng Harbin Engineering University, China
Muran Guo Harbin Engineering University, China
Lutao Liu Harbin Engineering University, 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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