Tensor-Based Angle Estimation with Coprime MIMO Radar
ID:129 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:394 Oral Presentation

Start Time:2020-06-08 14:40(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS16Sparse Array Configuration For Improved Spectrum Estimation And Its Applications

Video No Permission

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

Abstract
In this paper, we propose an optimized tensor model for direction of departure (DOD) and direction of arrival (DOA) estimation with coprime multiple input multiple output (MIMO) radar. We first develop the Toeplitz matrix using the consecutive lags in the sum-difference coarray after vectorizing the array covariance matrix. We then construct a generalized three-way tensor model and derive the optimized tensor by maximizing the number of targets. Then, the existing COMFAC technique is exploited for angle estimation. We show that the proposed method can identify more targets and achieve better performance by enforcing the three-way structure as compared to the subspace-based algorithms. Numerical simulations are provided to validate the theoretical analysis.
Keywords
Speaker
Junpeng Shi
National University of Defense Technology, China

Submission Author
Junpeng Shi National University of Defense Technology, China
Dongming Wu National University of Defense Technology, China
Zhihui Li Air Force Engineering University, China
Fangqing Wen Yangtze University, 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