Space Close Multiple Source Signal Reconstruction Algorithm Based on Dual-layer Variable Weight Blind Source Separation
Jialei Liu, Jiazhi Ma, Longfei Shi, Junxian Chen, Zhikang Lin · 2024
The separation and reconstruction of multi-source signals are the premise of complex electromagnetic environment perception, especially while multi source signal are close and formed main-lobe scene, which is difficult in radar countermeasure. The existing signal separation or jamming suppression algorithms effects poor in the face of multi source signal statistical characteristics are close. Therefore, a dual-layer variable-weight blind source separation algorithm is proposed, which extracts weak target signals and enhances the difference in their statistical characteristics through dual-layer processing, thereby achieving better performance in dense signal environments. Result shows that compared with the other blind source separation in typical main-lobe multi-point source scenarios, the proposed method is improved by about 4 dB of signal-to-jamming ratio, and improved by about 7% or more of the signal waveform reconstruction accuracy , which has a significant advantage.