几个影响Woven卷积码纠错性能的因素  

Some influential factors of Woven convolutional codes' error correction performance

作　　者：于浩[1] 谢显中[1] 范静[1] 

机构地区：[1]重庆邮电学院移动通信重点实验室,重庆400065

出　　处：《信息技术》2005年第7期47-49,52,共4页Information Technology

摘　　要：为了解决性能和设备复杂性的矛盾,普通级联卷积码将两个卷积编码器串联。然而在通信系统的接收端内码解码器会将差错汇集在突发(burst)中使外码解码器不能完全纠正这些错误.Woven卷积码采用特殊的“编织”方式,将内码解码器的错误以某种形式分散开来,这种结构使其获得良好的纠错性能。本文在介绍Woven码的构造和生成矩阵后,对影响Woven码纠错性能的几个因素进行了分析。Cascaded convolutional code is a simple cascade of two convolutional encoders with low complexity. The error correction performance of such construction is not very promising. On the receiver side in a communication system the inner decoder will group the errors in bursts, which the outer decoder cannot handle. Woven convolutional codes adopt the 'Woven' scheme to disperse the errors of inner coder in some special manner. This structure makes Woven convolutional codes perform better. In this paper, some influential factors of Woven convolutional codes' error correction performance are analyzed after introducing this new casca-(ded) convolutional codes' structural properties and generating matrices.

关 键 词：WOVEN卷积码 级联 影响因素 

分 类 号：TN911.22[电子电信—通信与信息系统]