基于k-means算法的直扩信号信息及伪码序列盲估计方法

本文研究了非协作条件下短码直接序列扩频(Short Code-Direct Sequence Spread Spectrum,SC-DSSS)信号的信息序列和伪码序列盲估计问题,针对现有的矩阵分解方法在伪码周期较长、观测矩阵较大的条件下存在计算量大、估计速度慢的问题,提出一种基于k均值聚类(k-means)的SC-DS...

The Blind Estimation Algorithm of DSSS Signal Sequence and Pseudo-Noise Sequence Based on k-means Algorithm#br#

In this paper, we study the blind estimation of Short code direct Sequence Spread Spectrum (SC-DSSS) and pseudo random sequence (PN code) under non-cooperative conditions.In view of the disadvantages of the matrix decomposition method, such as long pseudo-code period, large observation matrix and large computation, the estimation speed is slow.This paper puts forward a kind of based on K means clustering algorithm of SC - DSSS signal information and pn code sequence estimation method, in has been pseudo-code estimated cycle, code rate and signal starting point under the premise of observation signal according to the pseudo code cycle can be divided into several yards, by K means clustering algorithm will code into two categories, can get the information sequence estimation, then adopt the method of phase code piece of accumulative to estimate pn code sequence.Simulation results show that this method is effective and has good anti-noise performance and high estimation speed.