Main-lobe Jamming Suppression Exploiting Blind Source Separation with Cognitive Capability

Compared with the side-lobe interference, the main-lobe interference suppression lacks effective countermeasures. In order to suppress the main-lobe jamming, the blind source separation algorithm of beamspace JADE which is based on the cognitive theory and combinedthe multiple signal classification with the constant false alarm detection is proposed in this paper. The effects of target signal degree of separation and jamming signal degree of separation under the different condition of signal-to-noise ratio are also provided. This algorithm can effectively separate the target from the main-lobe jamming, and has a good performance for the main-lobe interference.