Design of adaptive detectors for FDA-MIMO radar
ID:62 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:1083 Oral Presentation

Start Time:2020-06-09 14:40(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R07MIMO Radar

Video No Permission

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

Abstract
Adaptive target detection in the presence of Gaussian interference considering a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar is investigated. At the design stage, adaptive detectors are devised according to the generalized likelihood ratio test (GLRT) criterion, where the target range is assumed unknown within the radar cell. Hence, the maximum likelihood (ML) estimate of the target range under the \(H_1\) hypothesis is approximated either assuming a discrete grid of the possible values or resorting to a monopulse-like optimization procedure. Numerical results are provided to illustrate the effectiveness of the devised detectors.
Keywords
FDA-MIMO; generalized likelihood ratio test (GLRT); maximum likelihood (ML); monopulse-like refinement
Speaker
Lan Lan
Xidian University, China

Submission Author
Lan Lan Xidian University, China
Angela Marino University of Naples Federico II, Italy
Augusto Aubry Universita degli studi di Napoli, Italy
Antonio De University of Naples "Federico II", Italy
Guisheng Liao Xidian University, China
Jingwei Xu Xidian 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
Organized By
Zhejiang University
Contact Information