Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal

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.