基于双PN 周期的窄带干扰直扩序列盲估计

为了解决窄带干扰条件下低信噪比直扩信号扩频序列（direct sequence spread spectrum,DSSS）的盲估计问题,提出一种基于双PN周期分解的扩频波形估计算法。该算法用2倍PN周期进行采样形成观测向量,利用特征分解法求各特征值及其向量,并利用特征向量消除窄带干扰,并求出PN码序列。结果表明：该算法在低信噪比条件下能完成对PN码序列的精确估计,能解决传统方法利用单PN周期分解时扩频序列连接的相位模糊等问题。

Blind Estimation of DSSS Signal with Narrow-Band Interference Based on Double PN-Period

In order to solve the problem of blind estimation of direct sequence spread spectrum（DSSS） signal with narrowband interference in low SNR conditions, this paper proposes a spreading waveform estimation algorithm based on double PN decomposition. The algorithm obtains observation vector by sampling with twice PN cycle, and then getting the feature values and their vectors by feature value analysis. Using feature vectors to eliminate narrowband interference, and find the PN code sequence. The results show that the algorithm can complete the accurate estimation of PN code sequence in lower SNR conditions, and also can solve the phase ambiguity issues when PN spreading sequence connected in the traditional method using single cycle decomposition.