基于UKF算法的高机动机载平台多普勒频移估计

doi:10.13209/j.0479-8023.2017.081

北京大学学报自然科学版 ›› 2017, Vol. 53 ›› Issue (6): 1003-1010.DOI: 10.13209/j.0479-8023.2017.081

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;

收稿日期:2016-08-29 修回日期:2017-04-07 出版日期:2017-11-20 发布日期:2017-11-20
基金资助:
863计划(61371073)和国家自然科学基金(2012AA01A506)资助

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

摘要/Abstract

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

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

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.

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.

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链接本文: https://xbna.pku.edu.cn/CN/10.13209/j.0479-8023.2017.081

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

图/表 12

图1 飞行器爬升运动示意图

Fig. 1 Climbing motion of aircraft

图2 飞行器盘旋运动示意图

Fig. 2 Hovering motion of aircraft

图3 飞行器圆周运动平面示意图

Fig. 3 Plan of circling motion of aircraft

图4 飞行器翻滚圆周运动示意图

Fig. 4 Rolling motion of aircraft

图5 巡航运动多普勒频移理论值与估计值比较

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

图6 巡航状态滤波估计算法与理论值误差比较

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

图7 爬升运动多普勒频移理论值与估计值比较

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

图8 爬升运动滤波估计算法与理论值误差比较

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

图9 盘旋运动多普勒频移理论值与估计值比较

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

图10 盘旋运动滤波估计算法与理论值误差比较

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

图11 翻滚运动多普勒频移理论值与估计值比较

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

图12 翻滚运动滤波估计算法与理论值误差比较

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

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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

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