基于宽窗口和PAST算法的扩频序列盲估计  

Blind Estimation of the Spread Spectrum Sequence Based on the Wide Window and PAST Algorithm

作　　者：许彬[1] 薛敬宏[1] 

机构地区：[1]哈尔滨工业大学信息工程研究所,威海264209

出　　处：《科学技术与工程》2015年第17期179-183,共5页Science Technology and Engineering

摘　　要：针对DSSS信号的盲估计问题,结合投影逼近子空间追踪算法(PAST)和滑动窗技术,对接收信号进行宽窗口划分,实现了非同步接收信号的扩频码的恢复。该方法只需要提取信号的主特征向量,然后利用滑动窗的方法实现码同步。PAST方法避免了特征值的求解,降低了计算量,易于硬件实现,解决了传统的特征分解方法实时处理的困难以及相位模糊的问题,并且能在低信噪比下实现扩频码的估计。To aim at the problem of blind estimation of direct sequence spread spectrum （DSSS） , the approach of a PN code recovery is proposed by using projection approximation subspace tracking （PAST） technique and sliding window technique, when the received signals are asynchronous and divided by wide windows. The calculation of the main eigenvector is only needed, and sliding window technique is used to realize the code synchronization. The PAST method avoids the calculation of eigenvalue decomposition, it is easy to realize in hardware and has less computational cost. Compared to traditional methods, this algorithm avoids the problem of phase ambiguity and can realize the estimation of the spread spectrum code in the negative signal-to-noise ratio.

关 键 词：扩频码序列 子空间追踪算法 滑动窗 相位模糊 盲估计 

分 类 号：TN975[电子电信—信号与信息处理]