Suppression of LFM interference in direct sequence spread spectrum communications based on compressive sensing

The existing linear frequency modulation (LFM) interference suppression algorithms for direct sequence spread spectrum (DSSS) communications are confined to the high sampling rate. In order to solve the problem, compressive sensing (CS) was applied to suppress the LFM interference in DSSS communications. The DSSS signal sparse dictionary and LFM interference waveform matching dictionary was built. The algorithm was designed to suppress the LFM interference in compressed domain by using the orthogonal matching pursuit (OMP) algorithm. The effectiveness of the algorithm was validated by computer simulation. The simulation results show that the algorithm could suppress the LFM interference effectively, interference suppression effect don´t change with the interference intensity and interference position. This will provide an effective method for the reconstruction of the compressed DSSS signal in the condition of the LFM interference.