一种适用于航空信道的稀疏信道估计算法  

A Sparse Channel Estimating Algorithm for Aeronautic Channel

作　　者：何剑[1] 王永生[1] 何一[1] 姚如贵[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《遥测遥控》2008年第2期56-60,共5页Journal of Telemetry,Tracking and Command

基　　金：十一.五预研项目(513250404);航天科技创新基金资助项目(NTCG0001)

摘　　要：通过对航空信道的分析,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自适应计算,为降低实现难度,提出一种"联合非零抽头检测与信道估计"方法,该方法主要由非零抽头检测算法与常用自适应算法组成,并建模比较非零抽头检测算法中参数选取对性能的影响,最后,针对具体应用给出该算法的性能仿真结果,证明了该算法可避免高阶自适应计算,节约了大量权值可忽略抽头所引入的资源占用和计算量,可更好地跟踪变化的信道。By analyzing the aeronautic channel,it is known that the channel has the ability of sparseness.Using the common channel estimating method will bring out high-order adaptive signal processing.To relieve the difficulty of realization,this paper describes a new al- gorithm called joint non-zero tap detection and channel estimation.The algorithm is mostly composed of non-zero tap detection algorithm and common adaptive signal processing.Then by establishing a math model it is tested that the selection of parameters has great influence on the performance and how to get optimal parameters is shown.Finally,the simulation of the new algorithm declared here is given,which proves that less resource and calculation are needed.So the algorithm can track channel variations better.

关 键 词：航空信道 稀疏信道 联合非零抽头检测与信道估计 非零抽头 

分 类 号：V243.1[航空宇航科学与技术—飞行器设计]