Performance Improvement in a Coexistent Radar and Communications System
ID:133 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:368 Oral Presentation

Start Time:2020-06-08 14:20(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS18 Array Signal Processing with Imperfect Scenarios

Video No Permission

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

Abstract
For the coexistent radar and communications system, the radar can receive the communications-path signal, i.e., the target return due to the transmission from the communications. The communications-path signal can be exploited to improve the radar detection performance when it has high signal to noise ratio (SNR). To show this, the statistical signal model at the radar receiver is developed, and then the generalized likelihood ratio test (GLRT) for the coexistent radar and communications system is derived in this paper. The derived GLRT has constant false alarm rate (CFAR). Finally, several numerical examples are presented to verify the performance gain by exploiting the communications-path signal with high SNR.
Keywords
Coexistent radar and communications; GLRT; radar detection; constant false alarm rate
Speaker
Yongjun Liu
Xidian University, China

Submission Author
Yongjun Liu Xidian University, China
Guisheng Liao Xidian University, China
Shengqi Zhu Xidian University, China
Yang Zhiwei Xidian University, China
Yufeng Chen Xidian University, China
Xiaowen Zhang 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
Contact Information