一种利用压缩感知改进的PMF-FFT扩频捕获算法  

An Improved PMF-FFT Spread Spectrum Signal Acquisition Algorithm Based on Compressed Sensing

作　　者：王凯 吴斌[1] 汪勃[1] WANG Kai;WU Bin;WANG Bo(Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China)

机构地区：[1]北京跟踪与通信技术研究所,北京100094

出　　处：《电讯技术》2018年第6期661-667,共7页Telecommunication Engineering

摘　　要：为了实现直接序列扩频(DSSS)信号快速捕获的同时降低数据量和硬件资源消耗,引入了压缩感知理论改进部分匹配滤波-快速傅里叶变换(PMF-FFT)算法,提出了基于压缩感知改进的部分匹配滤波-快速傅里叶变换(CSPMF-FFT)算法。该算法将PMF-FFT算法与压缩感知理论相结合,先对信号进行稀疏性分析和压缩观测,然后从少量压缩观测值中重构信号,并利用输出的峰值信息估算信号的多普勒频移和码相位,从而实现捕获。理论分析和仿真实验表明,相较于PMF-FFT捕获算法,CSPMF-FFT算法能在成功完成捕获的同时有效地减少相关器的数目和FFT变换的运算量,从而降低系统数据量和硬件资源压力,为基于压缩感知的扩频信号处理技术研究奠定了基础。To alleviate the signal-receiving pressure while achieving rapid acquisition for Direct-Sequence Spread Spectrum（DSSS） signal,this paper proposes a novel acquisition algorithm named Compressed Sensing Partial Matched Filter-Fast Fourier Transform（CSPMF-FFT） algorithm,which is combined with the Partial Matched Filter-Fast Fourier Transform（PMF-FFT） algorithm and Compressed Sensing（CS） theory.In this method,signal＇s sparsity is analyzed and the signal is compressed.Then the original signal is reconstructed from compressed values,and thus the code phase and Doppler frequency can be estimated through peak information.Theoretical analysis and simulation results show that the CSPMF-FFT algorithm can effectively capture signals and share the advantages of few number of correlators and low computation of FFT compared with the PMF-FFT algorithm,which lays a foundation for the research on spread spectrum signal processing based on CS.

关 键 词：航天测控通信 直接序列扩频信号 信号捕获 压缩感知 部分匹配滤波 快速傅里叶变换 

分 类 号：TN911.72[电子电信—通信与信息系统]