雷达科学与技术2013，Vol.11Issue(3)：295-301,7.DOI:10.3969/j.issn.1672-2337.2013.03.014
基于CS的LFM信号脉冲压缩实现算法研究
Pulse Compression Implementation of LFM Signal via CS
摘要
Abstract
Most current pulse compression algorithms can't avoid the contradiction between the main lobe width and the side lobe level.In this paper,we put forward a modified CS pulse compress(CSPC) algorithm to regain information of amplitude as well as phase of the linear frequency modulation(LFM) signal.In the proposed method,firstly,the relationship between CS and traditional PC is theoretically analyzed.Secondly,sparse base that is adapted to the PC is formulated in complex field.And then,through mathematical deduction,it is proved that smoothed L0 norm algorithm combined with the sparse base could reconstruct the amplitude and phase information of the echoes at the same time.Finally,simulation results and theoretical analysis show that the proposed method has many advantages,such as exact reservation of amplitude and phase information of the echoes,high reconstruction accuracy,and better robustness.关键词
脉冲压缩/压缩感知/线性调频/稀疏基/平滑0-范数Key words
pulse compression/ compressive sensing/ linear frequency modulation(LFM) / sparse base/ smoothed L0 norm algorithm分类
信息技术与安全科学引用本文复制引用
李少东,裴文炯,杨军..基于CS的LFM信号脉冲压缩实现算法研究[J].雷达科学与技术,2013,11(3):295-301,7.
