Doppler Frequency Shift Estimation on High-maneuver Airborne Platform Based on UKF

YU Huaijin1,†, YI Na2, JIANG Wei2, YANG Feng3

ACTA Scientiarum Naturalium Universitatis Pekinensis - - News -

1. The 95696 Troops, Chongqing 401329; 2. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871; 3. Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077; † Corresponding author, E-mail: yhj716haha@163.com

Abstract 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. Key words high-maneuver; Doppler frequency shift; Kalman Filter; satellite communication

未来战场的空中打击主要依靠高度和速度取胜。高超音速飞行器是高机动机载平台的主要力量, 引领空天武器发展新趋势。高超音速机载平台是指飞行速度大于 5 马赫, 能在 20~100 km 的临近空间进行中远程飞行的高超音速飞行器提供的通信平台。为了满足高超音速飞行所需的大容量、超视距、保密、抗干扰通信功能, 机载卫星通信设备将被大幅度改进并广泛使用。由于高超音速飞行器要在战场上执行侦查、打击、躲闪等任务, 因此飞行器会有直行、爬升、盘旋、翻滚等战术动作, 在此

过程中, 飞行器的速度、加速度, 甚至加加速度很大, 造成通信信号的严重多普勒频移。在通信系统中, 过大的多普勒频移会使载波捕获及后续的数据解调性能变差, 因此需要对高超音速运动下的多普勒频移进行估计。对于非线性运动状态的频率估计,常用的方法有扩展卡尔曼滤波(extended Kalman Filter, EKF)算法和无迹卡尔曼滤波(unscented Kalman Filter, UKF)算法。

文献[1–2]根据几个简单的运动模型, 对高动态载体的多普勒变化趋势进行理论仿真。文献[3–5]

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