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《Journal of Marine Sciences》 2007-02
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Classification of simulant sonar signals base on BP network

ZHOU Jian-ping,TAO Chun-hui,LU Wen-zheng,HE Yong-hua,GU Chunhua (Second Institute of Oceanography,SOA,Laboratory of Submarine Geosciences,SOA,Hangzhou 310012,China)  
According to normal active sonar equipment,four types sonar signals were simulated,which are single frequency of multibeem and sidescan,Chirp and mixed signal based on a simple stratified ocean model.A backpropagation leaning algorithm network(BPN)has been constructed with three layer which are inputting,hiding and outputting layer.Especially,the neuron number of hide layer can be adjusted depend on the output.And the method of simulating and classification including feature extraction and classification system were discussed.We extract ten power spectral densities,two signal pulses and the depth of water as input parameters of BPN,which realized the combine of the features in frequency field with that in time field.Finally,classification of simulating signals was well carried out.The methods described in this paper will give a theory direction in practice.
【Fund】: 国家“863”计划资助项目(2002AA615130);; 国家自然科学基金资助项目(NSFC49906004);; 国家海洋局青年基金资助项目(2007315)
【CateGory Index】: U666.7
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