Monopulse Radar Target Detection in the Case of Main-Lobe Cover Jamming

Abstract

Radar is known as the “eye” of modern warfare and plays a pivotal role in warfare, but the detection performance of radar systems is seriously affected by main-lobe cover jamming. To solve this problem, a radar target detection method based on four-channel monopulse radar is proposed in this paper. This method designed a spatial filter for main-lobe jamming cancellation, which could cancel the main-lobe jamming while keeping the target signal power unchanged, ensuring that the Electronic counter-countermeasure Improvement Factors (EIF) of the filtered signal always reach the maximum value to improve the target detection performance of monopulse radar. The Monte Carlo simulation results showed that the algorithm in this paper outperformed the conventional Main-Lobe Cancellation (MLC) algorithm in terms of EIFs and detection performance.

SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm

“…As shown in Figure 10 , when , the detection probability is not greater than 0.4. When , the detection probability significantly increases and outperforms the maximum SNR beamforming algorithm against mainlobe interference proposed in [ 44 ]. When , the detection probability of both algorithms approaches 1, effectively suppressing mainlobe interference signals.…”