Chirp Interference Mitigation for FHSS Communication Based on Compressive Sensing

A challenge in frequency hopping spread spectrum (FHSS) communication chirp interference mitigation is the requirement of a high sampling rate for wideband FHSS signal. We demonstrate that we could filter out the interference in the system after compressed sampling. Using different sparsity feature of the FHSS signal and the chirp interference, a chirp interference mitigation model is proposed in this paper, we achieve the interference mitigation by suppressing the interference components in the signal sparse coefficient vector which is estimated using the compressed data. The algorithm is designed using two stage compressive sampling matching pursuit (CoSaMP) algorithm. In contrast with traditional methods, the proposed method could suppress the chirp interference effectively with the prior information of the interference sparse degree. The simulation results show a reliable chirp interference mitigation performance even in low SNR and low sub-sampling rate, the interference mitigation performance is robust to the variations of the interference intensity and the interference cycle.