| 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.DOI:10.11918/j.issn.0367-6234.2011.11.027 |
| WAN Jian,GUO Qiang,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.DOI:10.11918/j.issn.0367-6234.2011.11.027 |
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| 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更好. |
| 关键词: 盲分离 线性调频 多分量检测 干扰源 |
| DOI：10.11918/j.issn.0367-6234.2011.11.027 |
| 分类号:TN911.23 |
| 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) |
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| Multi-component LFM signal detection method overcoming the impact of strong noise interference source |
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WAN Jian1, GUO Qiang1, WANG Bao-lin2
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1.College of Information & Communication Engineering,Harbin Engineering University,150001 Harbin,China;2.AVIC Hafei Aircraft Design and Research Institute,150060 Harbin,China)
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| 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. |
| Key words: BSS LFM multi-component detection interference source |
