Research on blind source separation of marine mammals signal processing under watercraft emitted noise

As statistical independence exists between marine mammals sound and watercraft emitted noise, and among different organism signals, the paper introduces blind source separation (BSS) into marine mammal signals processing. BSS with single hydrophone is a special underdetermined blind separation problem, and BSS based on matrix calculating is no longer suitable. The problem can be solved by expanding channels, and further study finds that second iteration of blind separation can improve the performance. Algorithm simulation and experimental data analysis show that not only marine mammals signal but also different organism signals can be separated by this method with single hydrophone. It is proved that the correlation coefficient of the separated signal is obviously improved, which lays the foundation for the feature extraction and recognition of marine mammals signal. Keywords-marine mammals signal processing; BSS; maximum signal noise ratio criterion; second iteration