基于k-means算法的直扩信号信息及伪码序列盲估计方法

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. 

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.