A network sorting algorithm based on blind source separation of multi-FH signal

Aiming at the multi-FH signal sorting under undetermined condition, based on blind source separation, this paper put forward a SNR-adaptive sorting algorithm using the time-frequency sparsity of FH signal. Firstly, Gabor transformation is used as time-frequency transformation in system and sorting model is established under undetermined condition; then the adaptive-SNR threshold setting method is used to find the time-frequency single source. The mixed matrix is estimated according to the time-frequency matrix of single source; lastly, signal sorting is realized through improved subspace projection combined with relative power deviation of source. Simulation result shows the effectiveness of this method under low SNR condition.