A Method of Extracting Underwater Acoustic Beaconing Signal

Most of the methods for extracting underwater acoustic beaconing signal are currently suitable for a good hydrological environment. Aiming at the problem of longrange detection of acoustic beaconing signal in harsh environments such as platform movement and serious transient noise interference, a method combined "matched filtering with Doppler filter bank, adaptive line enhancement based on variable step frequency-domain least mean square (LMS) algorithm and Zoom-FFT" is proposed. Verification test of the proposed method is carried out on the lake. The results of data processing show that this method could reduce the Doppler sensitivity and suppress the transient interference. Meanwhile, the output signal-to-noise ratio (SNR) and frequency resolution are improved, which provides an excellent signal environment for the back-end acoustic beacon positioning.