摘要
研究了将接收到的天线阵列信号分类的模糊C均值聚类算法,并提出一种新的二进制信号的盲分离算法。该算法不同于传统算法需要先确定一个分离矩阵进而估计出源信号,而是采用模糊C均值聚类的方法,无需先验条件可以给出较可靠的信号分离,并且该聚类算法是一种自学习过程,运算量较传统算法大大减少。计算机仿真结果说明了在噪声存在时该方法的有效性。
A method for separating blind BPSK signals arriving at an antenna array is presented, the fuzzy-C-means clustering algorithm is studied on grouping the received data vectors from the antenna array, and a new BPSK signals blind separating algorithm is introduced based on the fuzzy-C-means clustering method. The method needs not calculate a separation matrix to estimate the BPSK signals, but the BPSK signals can be estimated without a priori conditions. Computer simulations prove that the method is effective when the noise exists.
出处
《数据采集与处理》
CSCD
北大核心
2010年第4期512-515,共4页
Journal of Data Acquisition and Processing
