摘要
信息最大化(Infomax)盲分离算法是一种基于神经网络的自适应算法,其主要问题是收敛速度较慢。盲分离技术(BSS)在通信中使用时有助于提高接收信噪比,提出通过一种利用通信信号的训练序列来改善Infomax算法的收敛性能的方法,并分别以相关系数和性能指数作为比较标准进行仿真,结果显示该方法能改善接收信号的信噪比,加快Infomax盲分离算法的收敛速度。
Information Maximization(Infomax) algorithm is a kind of adaptative algorithm based on neural network,the shortcome is its slow convergence rate.Blind Source Separation(BSS) technology can improve signal to noise ratio in receiver,this paper presents a approach of improvement for the performance of Infomax algorithm by training sequence in communications,and gives simulation based on coefficient of correlation and performance index(PI),simulation results shows that the approach can enhance SNR and the conve...
出处
《舰船电子工程》
2008年第8期30-33,共4页
Ship Electronic Engineering
