Radar Main-Lobe Jamming Suppression Based on Adaptive Opposite Fireworks Algorithm

In the presence of main lobe jamming, performance modern radar system would degrade significantly. this study, a blind source separation (BSS) method based on an Adaptive Opposite Fireworks Algorithm (AOFWA) is proposed to address problem ineffective target echo detection when subjected jamming. First, signal model for BSS applied in anti-main jamming provided, and number signals estimated. Then, adaptive opposite learning operator designed improve optimization capability convergence speed basic (FWA). Finally, pulse compression performed separated achieve peak detection. The simulation result shows that algorithm can effectively extract under suppression deception precision relatively high, its superior.