Robust Adaptive Beamforming for Coprime Array Based on Interference Power Estimation via Subspace
ID:167 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:474 Oral Presentation

Start Time:2020-06-08 14:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS17Robust Beamforming Based On Convex/Nonconvex Optimization

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
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.
Keywords
robust adaptive beamforming; coprime array; degrees of freedom; covariance matrix reconstruction; virtual array
Speaker
Sicong Sun
University of Science and Technology of China, China

Submission Author
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
Submit Comment
Verify Code Change Another
All Comments
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
Contact Information