基于k-means算法的直扩信号信息及伪码序列盲估计方法

来源：信号处理杂志 2021年第8期北京时间：

作者：叶铃, 雷迎科, 陈 悦, 梅凡

摘要：In this paper, we study the blind estimation of information sequence and Pseudo-Noise sequence of Short Code-Direct Sequence Spread Spectrum (SC-DSSS) signals under non-cooperative conditions.In order to solve the problems of large computation and slow estimation speed of the existing matrix decomposition methods under the condition of long pseudo code period and large observation matrix, a new method of SC-DSSS signal information sequence and pseudo code sequence estimation based on K-means clustering was proposed.First, the sampled observation signals are segmented according to the width of information code, and then the segmented codes are clustered by K-means algorithm. In the case of unknown pseudo code sequence, the blind estimation of information sequence is realized.On this basis, the information chip is further segmented according to the width of the pseudo code, and the pseudo code is clustering to realize the blind estimation of pseudo code sequence.Simulation results show the feasibility and effectiveness of the proposed method.

关键词：短码直扩信号, 盲估计, k-means算法, 信息序列, 伪码序列