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.
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)
关键词
载波捕获
频偏估计
最大似然估计
KALMAN滤波
carrier acquisition
frequency offset estimation
maximum likelihood
Kalman filtering
