Abstract
Random frequency and pulse repetition interval agile (RFPA) signals have excellent performance on low probability of intercept (LPI) and anti-jamming. However, due to the random characteristics of RFPA signals, their matched filter (MF) outputs suffer from high range-Doppler sidelobes, which seriously deteriorate weak targets detection performance. The iterative adaptive approach based on matched filter (MF-IAA) is proved to be effective in suppressing sidelobes, but it has a heavy computational burden. To solve these problems, we propose a fast MF-IAA method based on 2-D MF outputs within a small processing window (MF-FWIAA). The simulation results show that MF-FWIAA can effectively suppress the range-Doppler sidelobes of RFPA signals with low computational complexity.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
