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机构地区:[1]空军工程大学信息与导航学院,陕西西安710077 [2]北京大学信息科学与技术学院,北京100871
出 处:《计算机仿真》2016年第12期73-79,94,共8页Computer Simulation
基 金:国家863计划项目(61371073);国家自然科学基金资助项目(2012AA01A506)
摘 要:卫星通信是高机动机载平台重要通信手段,高机动飞行过程会引起较大多普勒频移,为建立合适的高机动通信信道模型以实现接收机频率补偿,需对通信多普勒频移进行估计。高机动状态下,系统非线性强,频率估计不精确,为解决上述问题,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,建立不同运动状态下的频率估计模型,并对各模型进行仿真分析。结果表明UKF算法对高机动机载平台频率估计误差小,能建立合适的通信信道模型。Satellite Communication is the optimum communication means of future high - maneuver airborne plat- form, but high - maneuver flight can eanse huge Doppler frequency shift. To build an appropriate high - maneuver communication channel model and implement frequency compensation of receiver, it is necessary to estimate communication Doppler frequency shift. Owing to the strong nonlinearity of system on high maneuvering state, the frequency estimation is not accurate, thus in the paper, an unscented Kalman Filter algorithm was proposed to estimate Doppler frequency shift. Frequency estimation models under different motion states were built up according to the flight feature of high - maneuver aircraft, and these models were simulated and analyzed. The result indicates that UKF algorithm causes less errors when estimating frequency on high - maneuver airborne platform, which proves the applicability to build communication channel model of this algorithm.
关 键 词:高机动 多普勒频移 无迹卡尔曼滤波 卫星通信 运动模型
分 类 号:TN927.2[电子电信—通信与信息系统]
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