被动声纳目标识别技术的现状与发展

在现代被动声纳系统中，水下目标的自动识别是关键技术之一。文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。对LOFAR，DEMON和小波变换等特征提取技术进行了讨论，分析了特征优化的重要性和专家系统和神经网络等分类器的优缺点，并简要分析了该领域的过去、现在和未来。

Review on passive sonar target recognition

Automatic recognition of underwater targets is one of the key techniques in modern passive sonar systems. The techniques of feature extraction,feature selection and design of classifier for passive sonar target recognition are reviewed. The feature extraction techniques such as LOFAR, DEMON, wavelet transform and so on are discussed. The importance of feature fusion and the advantages and disadvantages of classifiers such as expert systems, neutral networks are analyzed. The past, present and future of this field are also briefly discussed.