Journal
IET RADAR SONAR AND NAVIGATION
Volume 16, Issue 1, Pages 129-144Publisher
WILEY
DOI: 10.1049/rsn2.12169
Keywords
multipath channels; radar detection; radar polarimetry
Funding
- Foundation of Shanghai Academy of Spaceflight Technology
- 111 Project [SAST2020-086]
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of Shaanxi Province [2017CGZHRGXQ-02]
- National Natural Science Foundation of China [6197010590]
- Xidian University
Ask authors/readers for more resources
This study combines polarization diversity and time-reversal technology to propose a time-reversal detector suitable for a polarization array radar, aiming to enhance target detection performance. Numerical simulations demonstrate the superiority of the time-reversal detector and elaborate on the impact of channel variations on detection performance.
Polarisation diversity radar enhances the performance of target detection. Time reversal exploits the multipath effect by adaptively matching propagation channels to improve the signal-to-noise ratio (SNR) and realise high detectability. This work combines polarisation diversity and time-reversal technology to propose a time-reversal detector suitable for a polarisation array radar. The maximum likelihood estimate is carried out for the time-varying channel response to solve the channel mismatch problem, which may cause the degradation of time-reversal performance. In addition, a conventional polarisation detector is developed under the same varying channel scenario to benchmark the time-reversal detector, and furthermore, the SNR gain of the time-reversal detector over the conventional detector is derived. Numerical simulations demonstrate the superiority of the time-reversal detector. Both the polarisation detectors proposed can take advantage of the channel variations to improve the detectability, and the greater the energy brought by the channel changes, the better the detection performance achieved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available