A sparse reconstruction algorithm for mainlobe towed jamming suppression

A sparse reconstruction algorithm for near-mainlobe jamming suppression is proposed in this paper, which can suppress the mainlobe towed jamming (MTJ) effectively and extract the distance and direction of the target. Firstly, the orthogonal matching pursuit (OMP) algorithm is adopted to estimate the MTJ information containing direction, amplitude and phase, then the jamming reconstruction is obtained. Secondly, the MTJ can be suppressed when the received signal is eliminated the jamming is reconstructed. Thirdly, the sparse Bayesian learning is employed to obtain the information of the target and jamming residue, such as direction and distance. Usually, the target only occupies 2 or 3 range units in a certain direction, while the jamming occupies all range units in a certain direction. Hence, the target and jamming residue can be distinguished by this priori knowledge. Hence, the target information can be obtained.