非周期直扩信号PN码盲估计技术  

Approach to blind estimation of PN sequence in nonperiodic DSSS signals

作　　者：张晓林 李洪源[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《系统工程与电子技术》2012年第6期1102-1107,共6页Systems Engineering and Electronics

基　　金：中央高校基本科研业务费专项资金;哈尔滨市科技攻关计划项目(2011AA2CG007-2)资助课题

摘　　要：在非协作信息侦测情况下,在扩频周期内,由于非周期性直接序列扩频(direct sequence spread spec-trum,DSSS)信号的扩频序列具有不可重复性,再加上扩频信号的非同步性,使得扩频码的盲估计十分困难。在信息序列不相关,且已知扩频码周期、码速率和信息速率等参数的前提下,提出一种针对非周期性DSSS信号PN(pseudo-noise)序列的盲估计方法。该方法按照信息码元宽度进行分段,利用子空间跟踪算法估计各段PN序列,结合滑动窗口方法实现盲同步,并按照一定的顺序排列拼接实现PN序列盲估计。仿真结果表明,该方法运算量小,对存储空间要求低,在低信噪比条件下可快速准确恢复PN码序列。It is difficult to estimate pseudo-noise （PN） sequence in nonperiodic direct sequence spread spectrum （DSSS） signals because of the nonsynchronization and irrepeatability in different durations of PN sequence of nonperiodic DSSS signals in a noncooperative context. An efficient method that can estimate the PN sequence of DSSS signals is presented under the conditions that duration and rate of PN sequence, rate of information sequence is known and information sequence is irrelevant. With the help of sliding window, the blind estimating is achieved based on projection approximation subspaee tracking （PAST） algorithms, and the PN sequence can be estimated after sorting and splicing. The experimental results show that this algorithm can estimate PN se quence quickly and accurately at low signal-to-noise ratio （SNR）, largely reducing computational complexity and storage.

关 键 词：直接序列扩频 非周期性 盲估计 盲同步 

分 类 号：TN911.72[电子电信—通信与信息系统]