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LFM宽带雷达信号的多通道盲压缩感知模型研究

方标 黄高明 高俊

方标, 黄高明, 高俊. LFM宽带雷达信号的多通道盲压缩感知模型研究. 自动化学报, 2015, 41(3): 591-600. doi: 10.16383/j.aas.2015.c130912
引用本文: 方标, 黄高明, 高俊. LFM宽带雷达信号的多通道盲压缩感知模型研究. 自动化学报, 2015, 41(3): 591-600. doi: 10.16383/j.aas.2015.c130912
FANG Biao, HUANG Gao-Ming, GAO Jun. A Multichannel Blind Compressed Sensing Framework for Linear Frequency Modulated Wideband Radar Signals. ACTA AUTOMATICA SINICA, 2015, 41(3): 591-600. doi: 10.16383/j.aas.2015.c130912
Citation: FANG Biao, HUANG Gao-Ming, GAO Jun. A Multichannel Blind Compressed Sensing Framework for Linear Frequency Modulated Wideband Radar Signals. ACTA AUTOMATICA SINICA, 2015, 41(3): 591-600. doi: 10.16383/j.aas.2015.c130912

LFM宽带雷达信号的多通道盲压缩感知模型研究

doi: 10.16383/j.aas.2015.c130912
基金项目: 

国家高技术研究发展计划(863计划) (2013AA7014061)资助

详细信息
    作者简介:

    黄高明 海军工程大学教授.2006年获得东南大学信号与通信工程博士学位.主要研究方向为雷达/电子战信号处理, 盲信号处理, 无源探测, 电子战系统仿真与效能评估.E-mail: hgaom@163.com

    通讯作者:

    方标 海军工程大学通信与信息系统专业博士研究生.主要研究方向为盲信号处理, 压缩感知.本文通信作者. E-mail: allan_fb@163.com

A Multichannel Blind Compressed Sensing Framework for Linear Frequency Modulated Wideband Radar Signals

Funds: 

Supported by National High Technology Research and Development Program of China (863 Program) (2013AA7014061)

  • 摘要: 在传统压缩感知(Compressed sensing, CS)基础上,提出了一种基于盲压缩感知(Blind compressed sensing, BCS)理论的线性调频(Linear frequency modulated, LFM)雷达信号欠采样与重构的多通道模型.这一机制在稀疏基未知的条件下,利用LFM信号在分数阶傅里叶变换(Fractional Fourier transform, FRFT)域上良好的能量聚集特性,将多个LFM信号看作是在多个未知阶次下FRFT域的稀疏表达,通过时延相关解线调和逐次消去相结合的的欠采样方法逐一估计出每个通道的LFM信号满足聚集性条件的特定分数阶傅里叶域,以此构造出该通道LFM信号对应的DFRFT正交稀疏基字典,以各DFRFT 正交基为对角块构建混合信号正交稀疏基字典,最后利用块重构算法从测量值中估计出稀疏信号,同时验证了LF M信号多通道BCS问题解的唯一性,从而实现了稀疏基未知情况下针对多路LFM宽带雷达信号的多通道盲压缩感知.
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出版历程
  • 收稿日期:  2013-09-26
  • 修回日期:  2014-06-18
  • 刊出日期:  2015-03-20

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