Enhanced Signal Processing Method for Integrated Detection and Jamming System Considering the Complex Environment

Abstract

The integrated detection and jamming system (IDJS) aims to pose a jamming threat to the enemy radar, and perform target detection in the meanwhile. To pose an effective jamming, the frequency spectrum of the transmit signal of IDJS has to overlap with the operating band of the enemy radar. As a consequence, the transmit signal of the enemy radar (TSER) would also cause interference to our IDJS, thus degrading the target detection performance of IDJS. Such interference, however, was generally ignored in current literature on IDJS, which may lead to ineffectiveness in practice. In this paper, we propose two methods for IDJS to separate the interference of the enemy radar from the echoes of IDJS and enhance the target detection performance. In the first method, a time-varying filtering (TVF) is established in the short time Fourier transform (STFT) domain to suppress TSER. The second method is an enhancement of the first method. The sparsity of illuminated area in time-frequency (TF) domain is utilized and an adaptive dictionary based sparse recovery algorithm is derived to recover echoes of IDJS loss resulting from TVF. Simulation results indicate that two proposed methods can both effectively separate the TSER and echoes of IDJS for detection, and the IDJS can achieve excellent interference effects on enemy radar at the same time.