基于调频信号子带相关性分析的回波特征提取方法  

Feature extraction method for echoes based on sub-band correlation analysis of FM signal

作　　者：王方勇[1] 杜栓平[1] 

机构地区：[1]杭州应用声学研究所声纳技术重点实验室,杭州310012

出　　处：《应用声学》2010年第5期344-351,共8页Journal of Applied Acoustics

基　　金：国家自然科学基金项目(10704068);国家重点实验室基金项目(9140C240215060C240215)资助课题

摘　　要：利用两种典型调频信号(LFM及HFM)的波形特点,本文提出了一种基于目标回波子带相关性的特征分析方法,并提取了回波统计特征。仿真与海上试验数据分析结果表明,该方法提取的回波统计特征对于识别水下人造金属目标与非目标具有较好的可分性。According to the waveform characteristics of two typical FM signals （LFM and HFM）, we propose a feature analysis and extraction method based on the sub-band correlation analysis of FM signal echoes, and extract several statistical features. Simulation and sea trial data analysis show that, these features have good performance when used for classification between underwater man-made metallic objects and other naturally existing objects.

关 键 词：调频信号 子带相关性 特征提取 主动目标识别 

分 类 号：TN957.51[电子电信—信号与信息处理]