A Denoising Algorithm for Underwater Acrostic Signal Based on Blind Source Separation and Adaptive Filter

In the application of underwater small aperture array direction finding system, the quality of received con-tinuous wave(CW) signal directly relates to the direction finding error. Due to the influences of multipath effect, fluc-tuation of signal, and underwater background noise, the actual signal detected is usually in low signal to noise ratio (SNR), and the phase estimation results are significantly discrete. According to the characteristics of the underwater CW signal and background noise, a denoising algorithm based on the combination of blind source separation and adaptive filter is proposed in this paper to improve SNR by denoising of received CW waveform. Simulation and lake trial show that the proposed algorithm gains a higher precision than that of the azimuth estimation method with direct application of signal.