基于Akaike信息论准则的无人机OFDM信道估计算法  

UAV communication channel estimation methods for OFDM system based on Akaike information criterion

作　　者：何剑[1] 王永生[1] 张岳彤 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072 [2]空军工程大学电讯工程学院,陕西西安710077

出　　处：《电路与系统学报》2009年第1期77-81,共5页Journal of Circuits and Systems

基　　金：航空基金资助项目(2007ZC53030);航天科技创新基金资助项目(N7CH0001)

摘　　要：文章通过对无人机通信信道的分析,指出其稀疏信道特征,使用普通算法对此信道进行信道估计会引入高阶矩阵运算,为加快收敛速度、降低实现难度,文中提出了一种利用GAIC(generalized Akaike information criterion)准则和RPC(phase-rotated Chu sequences)训练序列的OFDM航空信道LS(least square)估计方法,该方法利用GAIC准则确定信道MA(moving average)模型的阶次及抽头位置,为减小信道估计的运算复杂度,引入RPC序列作为训练序列,既满足了LS(least square)估计,又大大减化了计算复杂度。文章针对具体应用给出文中算法的性能仿真结果,证明了此算法可避免高阶矩阵运算,节约了大量权值可忽略抽头所引入的资源占用和计算量,且显著减小估计误差,可更好跟踪快变的稀疏信道。By analyzing the UAV communication channel, it is known the channel has the ability of sparseness. Using the common channel estimation will bring out high-order matrix computation. To speed the convergence and relieve the difficulty of realization, the paper describes a new algorithm on OFDM aeronautic channel estimation using GAIC and RPC. The algorithm is to get the order of channel and the place of tap by GAIC. For reducing the complexity and computation, RPC is used as train sequence. The simulation of new algorithm declared here is done, the results prove less resource and calculation is used and the error of estimation greatly is reduced. So the algorithm can trace channel variations better.

关 键 词：航空信道 稀疏信道 通用Akaike信息论准则 重复相位旋转Chu序列 

分 类 号：TN911.7[电子电信—通信与信息系统]