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

doi:10.13209/j.0479-8023.2017.081

Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2017, Vol. 53 ›› Issue (6): 1003-1010.DOI: 10.13209/j.0479-8023.2017.081

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

Huaijin YU¹(), Na YI², Wei JIANG², Feng YANG³

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;

Received:2016-08-29 Revised:2017-04-07 Online:2017-11-20 Published:2017-11-20

基于UKF算法的高机动机载平台多普勒频移估计

余怀瑾¹(), 依那², 蒋伟², 杨峰³

1. 95696部队, 重庆 401329
2. 北京大学信息科学技术学院, 北京 100871
3. 空军工程大学信息与导航学院, 西安 710077;

基金资助:
863计划(61371073)和国家自然科学基金(2012AA01A506)资助

Abstract

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

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。

关键词: 高机动, 多普勒频移, 无迹卡尔曼滤波, 卫星通信

Huaijin YU, Na YI, Wei JIANG, Feng YANG. Doppler Frequency Shift Estimation on High-Maneuver Airborne Platform Based on UKF[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2017, 53(6): 1003-1010.

余怀瑾, 依那, 蒋伟, 杨峰. 基于UKF算法的高机动机载平台多普勒频移估计[J]. 北京大学学报自然科学版, 2017, 53(6): 1003-1010.

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URL: https://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2017.081

https://xbna.pku.edu.cn/EN/Y2017/V53/I6/1003

Figures/Tables 12

Fig. 1 Climbing motion of aircraft

Fig. 2 Hovering motion of aircraft

Fig. 3 Plan of circling motion of aircraft

Fig. 4 Rolling motion of aircraft

Fig. 5 Comparison curves between Doppler frequency shift and each value in cruising motion

Fig. 6 Comparison of errors between filter estimation algorithms and theoretical value in cruising motion

Fig. 7 Comparison curves between Doppler frequency shift and each value in climbing motion

Fig. 8 Comparison of errors between filter estimation algorithms and theoretical value in climbing motion

Fig. 9 Comparison curves between Doppler frequency shift and each value in hovering motion

Fig. 10 Comparison of errors between filter estimation algorithms and theoretical value in hovering motion

Fig. 11 Comparison curves between Doppler frequency shift and each value in rolling motion

Fig. 12 Comparison of errors between filter estimation alorithms and theoretical value in rolling motion

References 13

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

基于UKF算法的高机动机载平台多普勒频移估计

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