Soochow University

Suzhou Biosynthetica Co., Ltd

Junjun Jiang

Tuo Shi

Di Wu

Zhongzhe Xiao

Min Huang

Junyin Fan

Xintong Wang

Feng Tian

Kailin Zhang

The present invention provides an underwater acoustic target ranging method based on feature extraction and a neural network, including: acquiring underwater acoustic signals transmitted by an underwater acoustic target at different distances, dividing data by seconds, and using data of one second as one sample; performing framing on each sample; and separately calculating a zero-crossing rate of a time domain waveform, the second, fifth, and eighth coefficients of MFCC, a spectral centroid, a spectral skewness, a spectral entropy, and a spectral sharpness for each frame of data of each sample. In the underwater acoustic target ranging method based on feature extraction and a neural network provided in the present invention, the received underwater acoustic signal data is directly processed, so that the real-time performance is high and the reaction speed is fast.

Underwater acoustic target ranging method based on feature extraction and neural network

Growing community of inventors

Suzhou, China

Junjun Jiang