Xu Ling-Ji, Yang Yi-Xin. Identification of Tone Noise Sources of Underwater Moving Target[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1119-1125. doi: 10.3724/SP.J.1146.2013.01102
Citation:
Xu Ling-Ji, Yang Yi-Xin. Identification of Tone Noise Sources of Underwater Moving Target[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1119-1125. doi: 10.3724/SP.J.1146.2013.01102
Xu Ling-Ji, Yang Yi-Xin. Identification of Tone Noise Sources of Underwater Moving Target[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1119-1125. doi: 10.3724/SP.J.1146.2013.01102
Citation:
Xu Ling-Ji, Yang Yi-Xin. Identification of Tone Noise Sources of Underwater Moving Target[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1119-1125. doi: 10.3724/SP.J.1146.2013.01102
According to the Doppler shift of moving acoustic source, three methods are presented for identification of noise sources of underwater moving target with single hydrophone. Firstly, the weak Doppler shift curves are obtained accurately by windowed cross Wigner-Ville Distribution (XWVD). Then the abeam moments are estimated by frequency intersection or least square algorithm. Locations of noise sources are obtained by referring to beacon source at last. These two methods are respectively called frequency intersection method and least square method. Furthermore, based on the effect of energy dispersion caused by inner artifacts, another identification method is proposed by applying WVD to Doppler signal directly, and this cross-term method needs less computation. The water tank and sea experiment results show that performances of these proposed methods are better than the existing passing property method. Among the three methods, the least square method is the best one, next is the cross-term method, and frequency intersection method is the worst in comparison.