改进的基于因子图Turbo均衡的外信息反馈机制  

Modified extrinsic information feedback mechanism based on FG-turbo equalization

作　　者：王忠勇[1] 吕素[1] 段琳琳[1,2] 张传宗[1] 

机构地区：[1]郑州大学信息工程学院,郑州450001 [2]解放军信息工程大学理学院。郑州450001

出　　处：《计算机工程与应用》2012年第8期152-154,共3页Computer Engineering and Applications

基　　金：河南省教育厅自然科学基金(No.2007510019)

摘　　要：讨论了基于因子图与和积算法的turbo均衡算法,并对稀疏和非稀疏两种不同信道下的性能进行了比较,提出了稀疏信道下基于因子图的turbo(FG-turbo)均衡改进外信息反馈机制。仿真结果表明,在稀疏信道下,经过若干次迭代FG-turbo均衡的性能逼近MAP-turbo均衡。提出的外信息反馈机制给FG-turbo均衡带来了较大的性能增益。This paper uses the factor graph and sum-product algorithm to discuss the turbo equalization principle, compares the perfor- mances of FG-turbo equalization algorithm in the sparse and non-sparse channels, and proposes a new FG-turbo equalization extrinsic information feedback mechanism in the non-sparse channel. Simulation results show that in sparse channel, the performance of the FG-turbo equalization is very close to the performance of the MAP-turbo equalization after several iterations, and the improvement of the modified extrinsic information feedback mechanism makes FG-turbo equalization obtain better performance gain.

关 键 词：因子图 和积算法 TURBO均衡 外信息反馈机制 

分 类 号：TN911[电子电信—通信与信息系统]