基于UKF算法的高机动机载平台多普勒频移估计
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摘要
针对卫星通信在高机动状态下非线性较强,会引起较大多普勒频移的问题,提出利用无迹卡尔曼滤波(unscented Kalman Filter,UKF)算法进行多普勒频移估计。依据高机动飞行器飞行特点,建立直线和圆周运动中的UKF多普勒频移估计模型,并进行仿真分析。结果表明,在卫星通信信道模型中,UKF算法能够对高机动机载平台进行更精确的频率估计,实用性更强。
Aimed to strong nonlinearity on high-maneuvering state and huge Doppler frequency shift of satellite communication, unscented Kalman Filter algorithm was proposed to estimate Doppler frequency shift. UKF Doppler frequency shift estimation models in straight and circle motion were built according to the flight feature of hypersonic aircraft, and models were simulated and analyzed. The result indicates that UKF algorithm estimates more precisely of frequency on high-maneuver airborne platform in satellite communication channel model, which proves the stronger practicability of proposed algorithm.
Aimed to strong nonlinearity on high-maneuvering state and huge Doppler frequency shift of satellite communication, unscented Kalman Filter algorithm was proposed to estimate Doppler frequency shift. UKF Doppler frequency shift estimation models in straight and circle motion were built according to the flight feature of hypersonic aircraft, and models were simulated and analyzed. The result indicates that UKF algorithm estimates more precisely of frequency on high-maneuver airborne platform in satellite communication channel model, which proves the stronger practicability of proposed algorithm.
引文
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[13]余怀瑾,依那,杨峰,等.高超音速机载平台卫星通信应用及发展方向.信息通信,2016(8):79-81
[2]钟伟志,郭庆.基于高动态运动模型的多普勒频移仿真.计算机工程,2010,36(20):22–24
[3]孙峰,金炜东,王博.基于扩展卡尔曼滤波的高动态多普勒频移估计.现代电子技术,2009,32(8):69–71
[4]吕艳梅,井荣华,吴国庆,等.基于UKF的高动态GPS信号参数估计研究.系统仿真学报,2008,20(1):169–172
[5]王芳堂.基于UKF的高动态GNSS软件接收机载波跟踪算法研究[D].哈尔滨:哈尔滨工业大学,2010:21–37
[6]Chui C K,Chen G R.卡尔曼滤波及其实时应用.戴洪德,周绍磊,戴邵武,等,译.4版.北京:清华大学出版社,2013:93–95
[7]朱安福,景占荣,高田,等.基于UKF的交互多模型算法.系统仿真学报,2009,21(3):655–657
[8]黄小平,王岩.卡尔曼滤波原理及应用——MATLAB仿真.北京:电子工业出版社,2015:103–107
[9]刘铮.UKF算法及其改进算法的研究[D].湖南:中南大学,2009:20–22
[10]Julier S J.The scaled unscented transformation//Proceedings of American Control Conference.Anchorage,2002,6:4555–4559
[11]Castella F R.Two-dimensional Kalman tracking filter.IEEE Transactions on Aerospace and Electronic Systems,1980,16(6):822–829
[12]郑光平,李锐锋,张泽宏.声源作圆周运动时的多普勒效应.物理实验,2004,24(3):39–40
[13]余怀瑾,依那,杨峰,等.高超音速机载平台卫星通信应用及发展方向.信息通信,2016(8):79-81