基于UKF算法的高机动机载平台多普勒频移估计
Doppler Frequency Shift Estimation on High-Maneuver Airborne Platform Based on UKF

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。
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.