同/异步短码DS-CDMA信号伪码序列及信息序列盲估计  

Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal

作　　者：周杨[1] 张天骐[1] ZHOU Yang;ZHANG Tianqi(Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学信号与信息处理重庆市重点实验室

出　　处：《电子与信息学报》2019年第7期1540-1547,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61671095,61371164);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市杰出青年基金(CSTC2011jjjq40002)~~

摘　　要：针对传统单通道异步直接序列码分多址(DS-CDMA)信号信息序列及伪码序列(PN)难以估计的问题,该文提出一种基于平行因子(PARAFAC)的多通道盲估计方法。该方法首先将信号建模为多通道接收模型,然后将观测数据矩阵等效为平行因子模型,最后使用迭代最小二乘算法对平行因子进行低秩分解,进一步完成对DS-CDMA信号各用户的信息序列及伪码序列进行估计。仿真实验表明,该方法不仅能有效地对同步、异步短码DS-CDMA信号的伪码序列及信息序列进行估计,而且能在通道数为6、信噪比(SNR)为-10dB的条件下,实现10个用户伪码序列的有效估计。For the problem of Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditional asynchronous single-channel,including blind estimation of the Pseudo-Noise (PN) sequence and information sequence,a method using multi-channel synchronous and asynchronous based on PARAllel FACtor (PARAFAC) is proposed.Firstly,the signal is modeled as a multi-channel receiving model,then the observed data matrix is equivalent to a factor model.Finally,the iterative least squares algorithm is applied to decomposing the parallel factor,and the information sequence and PN sequences of DS-CDMA signals are further estimated.The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal,and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio (SNR) is -10 dB.

关 键 词：直接序列码分多址信号 平行因子 信息序列 伪码序列 

分 类 号：TN911.7[电子电信—通信与信息系统]