Multiple Mainlobe Jamming Suppression via Eigen-Projection Processing Blind Source Separation Algorithm

In this paper, a multiple mainlobe jamming suppression method is proposed based on eigen-projection processing and blind source separation. Initially, the proposed method suppresses the mainlobe jamming nearest to the target in azimuth by employing eigen-projection processing. Subsequently, the method utilizes blind source separation to separate the mixed signal, thereby extracting the target signal while suppressing the remaining mainlobe jamming. The proposed method addresses the problem of declining suppression performance observed in traditional jamming suppression methods based on blind source separation, especially when the jamming is located in close proximity to the target direction. The numerical results demonstrate that the proposed procedure is capable of suppressing multiple jamming signals and achieving excellent performance.