ISRJ Suppression Algorithm Based on Wavelet Transform and Compressed Sensing Reconstruction

The interrupted-sampling repeater jamming is able to land on the premise of the undersampling processing technology. With the rapid advancement of hardware technology, it has an extremely common applications in terms of the new active jamming technology due to the features of a low sampling rate, short sampling and the use of common antennas of transmission and reception, which possesses the characteristics of both suppression and deception during the jamming process. It is too hard for radar to identify the target effectively. In order to solve this problem, this paper proposes an anti-Interrupted-Sampling Repeater Jamming method, which is based on the signal processing technology of wavelet transform and compressed sensing reconstruction. Firstly, according to the wavelet transform strategy, the received signal is converted to the wavelet transform domain, which contains the target and interference mixed signal. Furthermore, the wavelet coefficient is divided at a threshold that can indicate the signal energy, and not only a part of target signal which is not affected by interference is retained, but also the other part that has been affected by interference is eliminated. Finally, the target signal is reconstructed by compressed sensing reconstruction and the simulation experiments proves that the proposed algorithms have an advantage over the interference.