摘要
针对水下主动声引信在复杂的自然干扰下难以准确检测的问题,结合目标回波信号与混响等干扰的各种宏观和微观信息,一方面利用改进的经验模式分解方法对引信系统接收的原始信号进行处理,得到不同模态的本征模式分量,以实现目标回波与混响的分离;另一方面利用本征模式分量得到瞬时频率方差检测统计量和能量检测统计量,将瞬时频率方差检测统计量和能量检测统计量进行组合,构建集成检测器,实现对水下主动声引信的优化检测。试验结果表明,与基于常规能量检测和瞬时频率方差检测方法相比,该方法具有更好的检测性能。
To accurately detect active underwater acoustic fuze in complicated natural interferences,a novel integrated detection method is proposed.In this method,macro-and micro-features of target echo signals and interferences（such as reverberation） are analyzed;the intrinsic mode functions（IMFs） from original signals received by fuze system are achieved via the improved empirical mode decomposition（EMD） approach to separate the target echo signal from the reverberation;and the statistics of variance of instantaneous frequency detection and energy detection are obtained from IMFs and are combined to form an integrated detector for optimally detecting underwater acoustic fuze.Lake tests indicate that the proposed method exhibits better performance in underwater acoustic fuze detection,compared with such commonly used detection methods as energy detection method and variance of instantaneous frequency de-tection method.
出处
《鱼雷技术》
2012年第2期100-106,共7页
Torpedo Technology
基金
陕西省科学技术研究发展计划资助(2010KJXX-09)
关键词
水下主动声引信
集成检测
经验模式分解
本征模式分量
瞬时频率方差
active underwater acoustic fuze
integrated detection
empirical mode decomposition（EMD）
intrinstic mode function（IMF）
variance of instantaneous frequency
作者简介
胡桥（1977-），男，博士后，高工，研究方向为现代信号处理、水声目标检测、智能识别及系统工程．
