一种改进的DSSS信号扩频码估计算法研究  

An Improved Estimation Algorithm for DSSS Signal’s Spread Spectrum Codes

作　　者：张焱[1] 熊刚[1] 

机构地区：[1]中国电子科技集团第三十研究所,四川成都610041

出　　处：《通信技术》2012年第8期24-26,共3页Communications Technology

摘　　要：在低信噪比条件下检测出直接序列扩频(DSSS)信号后,要恢复出原始信息,估计出扩频码序列是非常关键的,因此有必要研究DSSS信号的扩频码序列估计算法。提出了一种基于改进的协方差矩阵迭代算法应用于估计扩频码序列。理论分析和计算机仿真实验都表明了该算法能在低信噪比下估计出扩频码序列,与其他一些扩频码序列估计算法如基于投影子空间的算法、基于神经网络的算法相比,具有运算量更小等优势。With the detected DSSS（Direct Sequence Spread Spectrum）signal in low SNR condition,it is necessary to estimate the spreading spectrum sequences for recovering the primitive information,so the research on the estimation algorithm is of vital significance.This paper proposes an improved algorithm based on covariance matrix iteration for estimation of spreading spectrum sequences.The theoretical analysis and computer simulation indicate that this algorithm could,with less computing complexity,estimate the sequences in low SNR condition as compared with the algorithms based on projection approximation subspace tracking or on neutral network.

关 键 词：直接序列扩频信号 协方差矩阵迭代 扩频码序列 

分 类 号：TN918.91[电子电信—通信与信息系统]