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基于压缩感知的CFAR目标检测在机会雷达中的应用
Application of CA-CFAR with Compressive Sensing in opportunistic radar
投稿时间:2017-05-09  修订日期:2017-06-29
中文关键词:恒虚警  压缩感知  目标检测
英文关键词:Constant False Alarm Rate  Compressing Sensing  signal detection
基金项目:国家自然科学基金委员会-中国工程物理研究院NSAF联合基金资助项目(U1530126)
作者单位
刘长远 School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengdu Sichuan 611731China 
马俊虎 School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengdu Sichuan 611731China 
甘 露 School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengdu Sichuan 611731China 
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中文摘要:
      提出一种基于压缩感知(CS)技术在机会雷达系统中进行恒虚警率(CFAR)目标检测的算法,根据目标回波在距离单元上的稀疏性,采用压缩感知技术对目标回波进行压缩采样;设计了一种新的建立在压缩域上的CA-CFAR检测器,它能在不恢复原始信号的条件下,快速完成目标回波的检测;进行了检测门限理论分析,设计出一种适用于压缩域检测的门限选定方法;给出系统检测结果与接收机的性能曲线。仿真结果表明,本算法可以实现低信噪比下雷达信号的直接检测,需信号重构,节省了运算量。
英文摘要:
      An algorithm based on Compressive Sensing(CS) technology is proposed, which is applied in the opportunistic radar system, conducting Constant False Alarm Rate(CFAR) target detection. Because of the sparseness of the target echo on the distance unit, a new CA-CFAR detector based on the compressed domain is designed by using the compression sensing sample. In this way, the target echo can be found without restoring the original signal. The algorithm can achieve target echo detection rapidly. And the theoretical analysis of the detection threshold of the CA-CFAR detector on the compressed domain is further studied. The performance of the system and the characteristic of the receiver are given. The simulation results show that the algorithm can directly detect the low SNR signal without signal reconstruction and cut the computation amount.
引用本文:刘长远,马俊虎,甘 露.基于压缩感知的CFAR目标检测在机会雷达中的应用[J].太赫兹科学与电子信息学报,2018,16(4):630~636
DOI:10.11805/TKYDA201804.0630
学科分类代码:
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