Research on a Sparse Blind Source Separation Method for Anti Main Lobe Active Interference

With the increasingly complex electromagnetic environment and the development of digital RF memory technology, various complex and varied active interferences in the main lobe of radar seeker have seriously affected its detection and tracking work. This paper studies the suppression method of active jamming of radar seeker main lobe. When the prior information is insufficient, the traditional jamming suppression method is difficult to achieve effective suppression effect. Therefore, this paper uses blind source separation method to suppress jamming. Based on independent component analysis, fixed point algorithm and high-order cumulant algorithm have achieved good suppression effect in the environment with good signal-to-noise ratio, but the performance drops sharply in the environment with low signal-to-noise ratio, In this paper, when the signal has a low SNR, the signal is first transformed into a short-time Fourier transform, and then the sparse component analysis algorithm is used in the time-frequency domain to separate the signal based on the sparsity, so as to suppress the active interference of the main lobe. Simulation shows that the method has good robustness.