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基于高阶谱的水下目标识别
引用本文:景志宏,林钧清.基于高阶谱的水下目标识别[J].船舶工程,1999(2):57-59.
作者姓名:景志宏  林钧清
作者单位:[1]西北工业大学 [2]船舶系统工程部
摘    要:利用高阶谱估值法,对具有很强非高斯性和非线性的舰船辐射噪声信号进行分析及特征提取,并通过结构自适应神经网络作为分类实验,表明基于高阶谱的特征提取具有较强的类别可分性,在无源声纳目标识别中特具潜力。

关 键 词:高阶谱  目标识别  特征提取  水下目标识别  舰艇

Underwater Target Recognition Based on Higher-order Spectrum
Jing Zhihong,Lin Junqing,Zhao Junwei.Underwater Target Recognition Based on Higher-order Spectrum[J].Ship Engineering,1999(2):57-59.
Authors:Jing Zhihong  Lin Junqing  Zhao Junwei
Institution:Jing Zhihong;Lin Junqing;Zhao Junwei
Abstract:By using the higher-order spectrum estimate,a lot of ship-radiated noises were analyzed and the feature extraction were made.The classification experiment was carried out by the structure adaptive neural network.It is indicated that the feature extraction based on higher-order spectrum has a better sort separatibility and the higher-order spectrum has significant potentiality in passive sonar target recognition.
Keywords:Higher-order spectrum  Target recognition  Feature extraction
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