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强噪声干扰源下的多分量LFM信号检测方法
引用本文:万建,国强,王宝林. 强噪声干扰源下的多分量LFM信号检测方法[J]. 哈尔滨工业大学学报, 2011, 43(11): 130-135
作者姓名:万建  国强  王宝林
作者单位:哈尔滨工程大学信息与通信工程学院;哈尔滨工程大学信息与通信工程学院;中航工业哈飞飞机设计研究所
基金项目:国家自然科学基金资助项目(60872108);中国博士后科学基金资助项目(20080430903,200902411);哈尔滨市科技攻关计划资助项目(2011AA2CG007-2);哈尔滨市科技创新人才研究专项基金资助项目(2008RFQXG030,2010RFQXG030);黑龙江省博士后基金资助项目(LBH-Z08129);中央高校基本科研专项基金资助项目(HEUCFZ1015)
摘    要:提出了一种盲分离联合时频谱分析的多分量线性调频信号检测方法,该方法采用先时域分离后时频分析的思想,有效抑制了传统的基于WVD类方法检测多分量线性调频信号时受交叉项困扰的问题,并且有效抑制了强噪声干扰源对传统的时频分析检测方法的影响.仿真结果表明,提出的方法与传统时频分析方法相比,对多分量线性调频信号的分离及特征提取效果...

关 键 词:盲分离  线性调频  多分量检测  干扰源

Multi-component LFM signal detection method overcoming the impact of strong noise interference source
WAN Jian,GUO Qiang and WANG Bao-lin. Multi-component LFM signal detection method overcoming the impact of strong noise interference source[J]. Journal of Harbin Institute of Technology, 2011, 43(11): 130-135
Authors:WAN Jian  GUO Qiang  WANG Bao-lin
Affiliation:College of Information & Communication Engineering,Harbin Engineering University,150001 Harbin,China;College of Information & Communication Engineering,Harbin Engineering University,150001 Harbin,China;AVIC Hafei Aircraft Design and Research Institute,150060 Harbin,China)
Abstract:Based on the combination of blind source separation(BSS) and time-frequency spectrum analysis,a multi-component linear frequency modulation(LFM) signal detection method is proposed,and by adopting the concept of time-domain separation and time-frequency analysis,the method effectively suppresses the cross-term interference problem based on WVD detection method and prominently reduces the impacts of strong noise interference source on the traditional time-frequency analysis and detection method.The computer simulation results demonstrate that the proposed method for the multi-component LFM signal separation and feature extraction exceeds the traditional method of time-frequency analysis.
Keywords:BSS  LFM  multi-component detection  interference source
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