自适应滤波器在自编码扩频系统中的应用  

Application of adaptive filter in SESS system

作　　者：齐本胜[1] 张春晖[1] 

机构地区：[1]河海大学计算机与信息学院,江苏常州213022

出　　处：《计算机工程与设计》2012年第2期460-463,560,共5页Computer Engineering and Design

摘　　要：为满足自编码扩频系统中信源序列随机化的要求,对信源随机化方法进行了研究,使用了一种自适应滤波器,利用其前向预测功能从信源序列中提取自编码扩频序列。该滤波器是在线性自适应滤波器中引入非线性神经元网络层构成,采用了一种新的变步长的更新算法,并简化了滤波器各项参数的更新,实现了一种基于自适应滤波器的信源随机化方法。仿真实验结果表明,使用自适应滤波器提取的自编码扩频序列完全满足自编码扩频通信的要求,系统误码率有所改善。In order to meet the needs of the randomized application of self-encoded spread spectrum source sequences,the methods of randomized are studied,and an adaptive filter is used to extract spreading sequences from source using its forward prediction.This filter is constituted by introducing a nonlinear ANN layer into the traditional linear adaptive filter,a new variable step size updating algorithm is used,and the update of filter parameters are simplified.An adaptive whitening filter is successfully realized and used to randomize the source sequences of self-encoded spread spectrum.The results of simulation testify that the spreading sequence extracted from source using the adaptive filter fully meets the system requirements,the BER of SESS is improved.

关 键 词：自适应滤波器 神经网络 自编码扩频 变步长 误码率 

分 类 号：TN911.72[电子电信—通信与信息系统] TP273[电子电信—信息与通信工程]