基于压缩感知理论的多普勒解模糊处理  

Doppler Ambiguity Resolution Based on Compressive Sensing Theory

作　　者：张玉玺[1] 孙进平[1] 张冰尘[2] 洪文[2] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191 [2]中国科学院电子学研究所微波成像技术国家重点实验室,北京100190

出　　处：《电子与信息学报》2011年第9期2103-2107,共5页Journal of Electronics & Information Technology

基　　金：国家973计划项目(2010CB731903);国家自然科学基金(60901056;61072112)资助课题

摘　　要：多目标的多普勒解模糊处理是低脉冲重复频率(PRF)雷达的关键技术之一,论文提出一种新的基于压缩感知(CS)理论的多普勒解模糊处理方法,利用多重PRF方式下相参处理间隔内的时域欠采样特性及多普勒频谱的稀疏特性,构造了多普勒解模糊的CS模型,采用正交匹配追踪(OMP)算法直接估计出无模糊多普勒谱的幅度响应,可实现PRF分组参差方式下对多个目标的解多普勒模糊处理,仿真结果验证了算法的有效性。Multiple target Doppler ambiguity resolution is one of key processing techniques for low Pulse Repetition Frequency（PRF） radar.A new Doppler ambiguity resolution approach based on Compressive Sensing（CS） theory is presented.Making use of the characteristic of under sampling in the time domain during the Coherent Processing Interval（CPI） and the sparsity of Doppler spectrum of multiple PRF system,the CS model of Doppler ambiguity resolution is constructed and the Orthogonal Matching Pursuit（OMP） algorithm is adopted to estimate directly the response of Doppler spectrum without ambiguity.The method is validated through simulation results of resolving Doppler ambiguity in multiple target situations for grouping staggered multiple PRF radar system.

关 键 词：脉冲多普勒雷达 压缩感知 解模糊 多重复频率 

分 类 号：TN958[电子电信—信号与信息处理]