摘要
针对非合作通信下长码直扩码分多址信号的伪随机序列估计问题,本文首先利用同阶数、不同本原多项式产生的m序列的三阶相关函数峰不同的特点,构造三阶相关函数的特征信息矩阵。然后推导得到长码直扩码分多址信号三阶相关向量与特征信息矩阵的匹配理论值。最后估计接收信号延迟三阶相关函数,得到其三阶相关向量,与特征信息矩阵匹配,估计得到各扩频长码。理论分析和仿真结果表明该方法能够有效估计单用户和多用户的长码直接序列扩频信号伪随机序列。
Aiming at blindly estimating the pseudo random sequences in non-cooperative long code direct sequence code di- vision multiple access （LC-DS-CDMA） signals, in this paper, the uniqueness property of peak positions of triple correla- tion functions of m-sequences generated by different primitive polynomials with the same order is utilized to create the triple correlation functions＇ feature information matrix firstly. Then, the theoretical matching value between the triple correlation vector of the LC-DS-CDMA signal and the feature information matrix is derived. At last, the triple correlation function ma- trix of the delayed received signal is estimated and vectorized to obtain the triple correlation vector, and the spreading codes are estimated through the matching process between the triple correlation vector and the feature information matrix. Theoret- ical analysis and simulation results show that, this method can be used to effectively estimating the pseudo random se- quences of single-user and multi-user long code direct sequence spread spectrum signals.
出处
《信号处理》
CSCD
北大核心
2016年第6期739-745,共7页
Journal of Signal Processing
基金
国家自然科学基金(61571172)
关键词
长码直扩码分多址信号
直扩信号
三阶相关
特征信息矩阵
伪随机序列估计
long code direct sequence code division multiple access signals
direct sequence spread spectrum
triple cor- relation
feature information matrix
pseudo random sequences estimation
