Robust Adaptive Beamforming for Coprime Array Based on Interference Power Estimation via Subspace
编号:167 访问权限:仅限参会人 更新:2020-08-05 10:17:28 浏览:445次 口头报告

报告开始:2020年06月08日 14:00(Asia/Shanghai)

报告时间:20min

所在会场:[S] Special Session [SS17] Robust Beamforming Based On Convex/Nonconvex Optimization

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摘要
Compared with uniform linear array (ULA), the coprime array can obtain larger array aperture with the same number of physical sensors, which leads to higher spatial resolution and less effect of mutual coupling. Also, the degrees of freedom (DOFs) can be increased by reconstructing the sampling covariance matrix (SCM) in virtual array domain. In this paper, we propose a robust adaptive beamforming (RAB) algorithm based on coprime array. A novel subspace based method is performed in virtual array domain to estimate the power and direction of arrival (DOA) of interference, which also obtains the ability for DOFs enhancement. Simulation results demonstrate the robustness and effectiveness of the proposed method.
关键词
robust adaptive beamforming; coprime array; degrees of freedom; covariance matrix reconstruction; virtual array
报告人
Sicong Sun
University of Science and Technology of China, China

稿件作者
Sicong Sun University of Science and Technology of China, China
Zhongfu Ye University of Science & Technology of China, China
Xingyu Zhu University of 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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