基于最大似然估计的16APSK载波捕获算法研究  

A Frequency Offset Estimation Algorithm Based on Maximum Likelihood Estimation for 16APSK Signal

作　　者：冯晓文[1] 李庆坤[1] 任彬 

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]石家庄铁道大学机械工程学院,河北石家庄050043

出　　处：《无线电工程》2018年第3期203-207,共5页Radio Engineering

基　　金：国家自然科学基金资助项目(51405313)

摘　　要：针对在低信噪比情况下16APSK信号频偏捕获困难的问题,讨论了一种结合Kalman滤波和最大似然估计的非数据辅助频偏估计算法。该算法对包含载波频偏信息的相位序列进行最大似然频偏估计,通过Kalman滤波,降低了噪声对估计精度的影响。对结合Kalman滤波和最大似然估计的16APSK频偏估计算法进行了仿真。仿真结果表明,在低信噪比条件下,结合Kalman滤波的最大似然频偏估计算法可获得良好的性能。To solve the problem of frequency offset acquisition difficulty under low Signal-to-Noise Ratio（SNR） for 16 APSK signal,a non-data-aided frequency offset estimation algorithm which combines Maximum Likelihood Estimation（MLE） with Kalman filtering is discussed.In this algorithm,the frequency offset is estimated by MLE depending on the phase sequence that contains carrier frequency offset information.In order to reduce the impact of noise on estimation accuracy,Kalman filtering is used after MLE.The algorithm is simulated,and the simulation results show that this algorithm has good performance under the same SNR condition.

关 键 词：载波捕获 频偏估计 最大似然估计 KALMAN滤波 

分 类 号：TN911[电子电信—通信与信息系统]