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.