基于自适应卡尔曼滤波的频偏估计研究  

Study on Frequency Offset Estimation Based on Adaptive Kalman Filter

作　　者：李伟征[1] 涂秀梅 

机构地区：[1]南京工业大学计算机科学与技术学院,南京211800 [2]中兴通信南京研发中心,南京210012

出　　处：《控制工程》2017年第8期1685-1689,共5页Control Engineering of China

基　　金：国家自然科学基金项目(60673185);江苏省未来网络前瞻性研究基金项目(BY2013095-4-09)

摘　　要：频偏估计能够有效提升接收机性能。将自适应卡尔曼滤波的方法应用到频偏估计中,由测量数据对频率偏移变量进行动态更新,并不断地估计和修正噪声的统计特性。同时考虑到连0或连1长序列传输的问题,提出在解调输出频率峰值点上进行卡尔曼滤波,改善频偏估计的精度。采用仿真实验测试了算法的性能,实验结果表明,该算法获得了较好的频偏估计精度,克服了连续传输相同符号的无法实时进行频偏估计的问题,减小了通信系统的误码率和误包率,改善了通信系统性能。Frequency offset estimation can effectively improve the receiver performance. The adaptive Kalman filter is applied to frequency offset estimation and the frequency offset variable is updated dynamically by the measuring data. Meanwhile, the statistical Characteristics of the noise are estimated and corrected continuously. Considering the problem of 0 or 1 long sequence transmission, Kalman filtering is put forward at the peak point of demodulation output frequency to improve the accuracy of frequency offset estimation. The performance of the algorithm is tested by simulation experiments. The experimental results show that this algorithm can obtain good estimation accuracy, overcome the real-time frequency estimation problem caused by continuous transmission of the same signal, and reduce the bit error rate and packet error rate of the communication system. Therefore, it improves the performance of the communication system.

关 键 词：卡尔曼滤波 自适应滤波 频偏估计 频偏补偿 

分 类 号：TP713[自动化与计算机技术—检测技术与自动化装置]