吴国清,李靖,陈耀明,袁毅,陈岳

• 1:中国科学院声学所，中国科学院模式识别实验室!北京,100080,中国科学院声学所!北京,100080,中国科学院声学所!北京,100080,中国科学院声学所!北京,100080,中国科学院声学所!北京,100080

摘要：

本系列文章的工作是在舰船噪声谱图的基础上，利用模糊神经网络对舰船进行分类识别。文章Ⅰ叙述了舰船噪声的谱特征由可分离的平稳谱和非平稳谱组成，介绍了既利用有效识别特征（有类别共性和异性的特征）又对特定舰船特征作专门记忆的工作路线及识别框架，对特定舰船的记忆具体体现在特定舰船特征模库一包含有线谱模板库、双重频率谱模板库和平均功率谱模板库。文章Ⅰ又具体讨论了特征提取和建立线谱模板时所碰到的理论、模型、分析参数及线谱提取方法，舰船噪声实际情况和理论之间的差异等问题。文章最后介绍了用机器自动提取线谱的一种方法。系列文章Ⅱ将讨论线谱稳定性、唯一性和线谱模板图；文章Ⅲ将讨论双重谱和平均功率谱的特征提取和模板建立；文章Ⅳ将讨论模糊神经网络和识别。

关键词：

Abstract: This series of papers deal with ship target recognition. The project is conducted by using fuzzy neural networks and basing recognition on the spectra of ship radiated noise. Paper(I) describes the characteristics of ship radiated-noise spectra, which are composed of two distinctive categories: the stationary and the non-stationary. The project framework is introduced in the paper. It includes two steps. One is to extract effectively recognizable features (those common in one category and those distinguish categories). The other is to memorize the characteristics of specific ship targets. The memorization is realized with specific ship characteristics pattern plate library (including line-spectrum,double-frequency spectrum and average power spectrum pattern plate library). Detailed discussions on theories, models, parameter analysis, line-spectrum extraction methods, as well as gaps between reality and theory concerning ship radiated-noise are also included in Paper(I). Paper(I) finally proposes a method of automatic extraction of line-spectrum by using maChines. Paper(Ⅱ) will discuss the stability,uniqueness of line-spectrum and its pattern plate. Paper(Ⅲ) will focus on the extraction of features from double-frequency spectrum and average power spectrum, and the establishment of their pattern plates.Paper(Ⅳ) will discuss fuzzy neural networks and recognition approaches.

Keywords:

基金项目: 国家自然科学基金;;国防科技预研基金

通讯作者:

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参考文献：

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