基于最大似然估计的16APSK载波捕获算法研究
|
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.
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.
引文
[1]MORELLO A,MIGNONE V.DVB-S2:the Second Generation Standard for Satellite Broad-band Services[J].Proceedings of the IEEE,2006,24(1):210-227.
[2]梅凡.卫星数传系统中16APSK调制解调技术研究[D].北京:中国科学院国家空间科学中心,2016.
[3]陈荣,周旭,张士强.扩频信号的捕获与跟踪[J].无线电工程,2010,40(5):33-35.
[4]段勇存,王力男,裴文端.一种机载卫星通信终端频率捕获跟踪算法[J].无线电通信技术,2016,42(3):33-36.
[5]何朝玉,李超,陈晖,等.一种适用于突发16APSK信号的载波同步算法[J].无线电工程,2012,42(5):61-64.
[6]刘晓冬,陈卫东.一种宽范围高精度的载波频偏估计算法[J].无线电工程,2014,40(3):43-45.
[7]FRANTZESKAKIS E,KOUKOULAS P.Phase Domain Maximum Likelihood Carrier Recovery:Framework and Application in Wireless TDMA Systems[J].IEEE VTS 50th Vehicular Technology Conference,1999(5):2571-2575.
[8]王晓湘,柯有安.高动态多普勒频率的最大似然估计器[J].北京邮电大学学报,2000,23(1):61-65.
[9]唐金花,陈偕雄.一种基于最大似然估计的频偏估计算法[J].科技通报,2006,22(2):263-266.
[10]王乐,王竹刚,熊蔚明.基于最大似然频率精细估计的载波捕获算法[J].电讯技术,2013,53(1):39-43.
[11]王鹏宇,吕善伟.Kalman滤波在频率估计中的应用与仿真[J].宇航计测技术,2008,28(5):23-26.
[12]田甜,安建平,薛斌,等.基于最大似然估计和Kalman滤波的BPSK载波同步方法[J].北京理工大学学报,2012,32(1):67-71.
[13]崔霞霞,江会娟,万明刚.一种8PSK、16APSK与32APSK软解映射的实现技术[J].无线电工程,2011,41(4):45-48.
[14]杜勇.数字通信同步技术的MATLAB与FPGA实现[M].北京:电子工业出版社,2015.
[15]吴迪松,张公礼,郑国.一种高阶QAM信号载波频偏估计算法[J].电讯技术,2006(4):144-148.
[16]黄小平,王岩.卡尔曼滤波原理及应用[M].北京:电子工业出版社,2017.
[17]袁建国,马骏,李璋超.CO-OFDM系统中基于卡尔曼滤波对相位噪声补偿算法的研究[J].半导体光电,2015(6):959-963.
[18]曾富华,汪远玲,杨万麟.一种基于扩展卡尔曼滤波器的频率及频率斜率估计算法[J].电讯技术,2008,48(3):70-73.
[2]梅凡.卫星数传系统中16APSK调制解调技术研究[D].北京:中国科学院国家空间科学中心,2016.
[3]陈荣,周旭,张士强.扩频信号的捕获与跟踪[J].无线电工程,2010,40(5):33-35.
[4]段勇存,王力男,裴文端.一种机载卫星通信终端频率捕获跟踪算法[J].无线电通信技术,2016,42(3):33-36.
[5]何朝玉,李超,陈晖,等.一种适用于突发16APSK信号的载波同步算法[J].无线电工程,2012,42(5):61-64.
[6]刘晓冬,陈卫东.一种宽范围高精度的载波频偏估计算法[J].无线电工程,2014,40(3):43-45.
[7]FRANTZESKAKIS E,KOUKOULAS P.Phase Domain Maximum Likelihood Carrier Recovery:Framework and Application in Wireless TDMA Systems[J].IEEE VTS 50th Vehicular Technology Conference,1999(5):2571-2575.
[8]王晓湘,柯有安.高动态多普勒频率的最大似然估计器[J].北京邮电大学学报,2000,23(1):61-65.
[9]唐金花,陈偕雄.一种基于最大似然估计的频偏估计算法[J].科技通报,2006,22(2):263-266.
[10]王乐,王竹刚,熊蔚明.基于最大似然频率精细估计的载波捕获算法[J].电讯技术,2013,53(1):39-43.
[11]王鹏宇,吕善伟.Kalman滤波在频率估计中的应用与仿真[J].宇航计测技术,2008,28(5):23-26.
[12]田甜,安建平,薛斌,等.基于最大似然估计和Kalman滤波的BPSK载波同步方法[J].北京理工大学学报,2012,32(1):67-71.
[13]崔霞霞,江会娟,万明刚.一种8PSK、16APSK与32APSK软解映射的实现技术[J].无线电工程,2011,41(4):45-48.
[14]杜勇.数字通信同步技术的MATLAB与FPGA实现[M].北京:电子工业出版社,2015.
[15]吴迪松,张公礼,郑国.一种高阶QAM信号载波频偏估计算法[J].电讯技术,2006(4):144-148.
[16]黄小平,王岩.卡尔曼滤波原理及应用[M].北京:电子工业出版社,2017.
[17]袁建国,马骏,李璋超.CO-OFDM系统中基于卡尔曼滤波对相位噪声补偿算法的研究[J].半导体光电,2015(6):959-963.
[18]曾富华,汪远玲,杨万麟.一种基于扩展卡尔曼滤波器的频率及频率斜率估计算法[J].电讯技术,2008,48(3):70-73.