基于RAEKF 和DGPS 的航母姿态测量方法
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(1. 中国人民解放军91697 部队,山东 青岛 266405;2. 海军航空工程学院兵器科学与技术系,山东 烟台 264001)

作者简介:

高绍忠(1963—),男,山东人,本科,高工,从事武器系统标校技术研究。

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TP206

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Method of Carrier Attitude Measurement Based on RAEKF and DGPS
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(1. No. 91697 Unit of PLA, Qingdao 266405, China; 2. Department of Ordnance Science & Technology, Naval Aeronautical Engineering Academy, Yantai 264001, China)

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    摘要:

    针对现有基于差分GPS(differential global position system,DGPS)的定姿算法无法解决GPS 信号受干扰 时无解的问题,且容易受GPS 数据中粗大误差的影响,提出一种基于自适应抗差卡尔曼滤波(robust adaptive extended Kalman filter,RAEKF)和DGPS 的航母姿态测量方法。研究载波相位差分GPS 的测姿原理,详细分析现有定姿算法 的原理并分别指出他们存在的缺陷,提出不受GPS 数据缺失和粗大误差影响的RAEKF 算法。结果表明:该算法能 充分利用航母的运动信息,提高GPS 定姿的精度和可靠性。

    Abstract:

    The existing attitude determination algorithm cannot solve the problem that the algorithm got no solution when GPS signal was disturbed. The algorithm would be influenced by the gross error in GPS data. According to the problems mentioned above, this paper put forward a kind of carrier attitude measurement method based on robust adaptive extended Kalman filter (RAEKF) and DGPS. First introduced the principle of carrier phase differential GPS attitude measurement, then analyzed the three kinds of attitude determination algorithms existing and pointed out their weaknesses. Finally, we put forward a robust adaptive Kalman filter algorithm which is not affected by missing and gross error of GPS data. As the experiments show, the algorithm can improve the accuracy and reliability of the GPS by using the motion data of carrier.

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高绍忠.基于RAEKF 和DGPS 的航母姿态测量方法[J].,2016,35(05):35-38.

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  • 在线发布日期: 2018-12-06
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