哈尔滨工程大学学报Issue(8)：967-971,5.DOI:10.3969/j.issn.1006-7043.201303021
经验模态分解WVD方法的水下目标特征提取
Underwater target feature extraction using empirical mode decomposition and WVD method
摘要
Abstract
To deal with the limitations in feature extraction of an underwater target based on traditional time-frequen-cy analytical methods, a new method based on empirical mode decomposition and Wigner-Ville distribution ( WVD) is adopted to extract the highlight features of small underwater targets. Multiple-component signal can be decomposed into a collection of single component signals, which can not only restrain the severe cross-term interfer-ence in WVD method caused by multiple-component signals, but also solve the problem that HHT spectrum can be influenced by noise. Simulation analysis and experiment results have affirmed the effectivity of the method. Echo waves of three different target models are analyzed by feature extraction, and each gets a different conclusion. Echo waves of the regular mine models are mainly composed of specular reflection. Echo waves'superposition of the irreg-ular mine models widens the frequency band. And echo waves of false target are caused by several signals'nonlinear superposition, which widen the time-frequency feature distribution and make the highlight extraction harder.关键词
水下目标/特征提取/经验模态分解/WVD方法Key words
underwater target/feature extraction/empirical mode decomposition/WVD method分类
信息技术与安全科学引用本文复制引用
孙世钧,李秀坤..经验模态分解WVD方法的水下目标特征提取[J].哈尔滨工程大学学报,2013,(8):967-971,5.基金项目
国家自然科学基金资助项目（51279033，61240007）；国防科学技术工业委员会基础研究基金资助项目（4010201010302）；中央高校基本科研业务费专项资金资助项目（ HEUCFT1006）． （）
