摘要
峭度盲源分离算法是一种自适应盲分离算法,可用于阵列天线和MIMO中的信号处理。本文提出利用通信中的训练序列来改善峭度盲分离的收敛速度,并以性能指数、相关系数作为比较标准进行了仿真,仿真结果证实了利用训练序列可以提高峭度盲分离算法的收敛速度。
Kurtosis algorithm is a kind of adaptive blind source separation algorithm. It can be used in signal processing of array antenna and Multiple-Input Multiple-out put（MIMO）. An approach of improvement for the performance of kurtosis algorithm is presented by using training sequence in communications. Simulation tests are carried out based on Performance Index（PI） and coefficient of correlation. The simulation results show that the approach can accelerate the convergence rate of kurtosis algorithm.
出处
《信息与电子工程》
2008年第5期367-370,共4页
information and electronic engineering
关键词
盲源分离
峭度算法
训练序列
性能指数
blind source separation
kurtosis algorithm
training sequence
performance index
