基于免疫机制的RBF网络在OFDM信道估计中的应用  

Application of radial basis function network based on artificial immune algorithm in channel estimation for OFDM systems

作　　者：范晔[1] 臧小刚[1] 宫新保[1] 唐斌[1] 

机构地区：[1]上海交通大学电子工程系,上海200240

出　　处：《信息技术》2007年第12期20-22,80,共4页Information Technology

摘　　要：针对OFDM系统的信道估计问题,提出了一种新型的基于免疫机制的RBF网络信道估计方法。该算法能够有效提高网络训练精度,改善进化训练算法的未成熟收敛问题。在低信噪比,快衰落的恶劣信道情况下,文中采用的RBF网络相对传统算法表现出了优异性的性能,设计出的信道估计器可以达到很高的测量精度。A channel estimation method based on a novel RBF network using artificial inmaune algorithm is proposed for OFDM channel estimation. In this method, the nonlinear parameters of RBF hidden layer are determined by an immune algorithm, which can effectively overcome the immature problem in the evolutionary algorithm. Computer simulations with channel under low SNR and fast fading circumstances demonstrate that RBF network estimator in this method can rebuild the transform function accurately, and is an effective method to estimate the channel in OFDM system.

关 键 词：OFDM 信道估计 RBF网络 人工免疫 

分 类 号：TN911[电子电信—通信与信息系统]