一种GPS与高精度气压高度表在线互标定方法

宫晓琳; 房建成; 盛蔚

doi:10.3724/SP.J.1146.2008.00161

一种GPS与高精度气压高度表在线互标定方法

doi: 10.3724/SP.J.1146.2008.00161

基金项目:

国家863计划项目(2006AA12A108)和国家自然科学基金(60602047)资助课题

计量
- 文章访问数: 4172
- HTML全文浏览量: 69
- PDF下载量: 1154
- 被引次数: 0
出版历程
- 收稿日期: 2008-01-29
- 修回日期: 2008-07-31
- 刊出日期: 2009-04-19

A Method of Intercalibration for GPS and High Precision Baro-Altimeter on Line

摘要

摘要: 该文针对全球定位系统(GPS)和高精度气压高度表测高误差的不同特性，建立基于三阶全微分的气压高度表原理误差补偿模型，并提出一种基于当前统计模型自适应卡尔曼滤波(KF)的GPS与高精度气压高度表在线互标定方法，实现GPS与气压高度表的优势互补。通过加速度的均值和方差的自适应跟踪，完成驱动噪声方差阵和状态参数的自适应修正。同时，引入自适应遗忘因子，充分利用现时的测量数据，改善滤波器的动态性能。真实航路数据的半物理仿真验证了该文方法的有效性。
- 全球定位系统;高度表;自适应滤波;标定
Abstract: According to the different characteristic of the height errors measurement between Global Positioning System(GPS) and baro-altimeter, an error model of baro-altimeter based on third differential is established, and a method of intercalibration for GPS and high precision baro-altimeter on line is proposed. The adaptive Kalman filter based on the current statistical model is used in this method, which combined GPS and baro-altimeter efficaciously. This method can track the acceleration mean and covariance adaptively, and adjust the process noise covariance matrix and state parameters adaptively. At the same time, fading factor is used to make the best of current measurement data, and then improve the dynamics of filter. Based on the trajectory of real fairway, the semi-physical simulation results illustrate the validity of this method.

HTML全文

参考文献(1)

Wang T. Barometric altimeter short-term accuracyanalysis[J].IEEE AE Systems Magazine.2005, 20(12):24-26[2]Gray R A and Maybeck P S. An integrated GPS/INS/BAROand radar altimeter system for aircraft precision approachlandings[C]. IEEE Proceedings of the Aerospace andElectronics Conference, Dayton, 1995, 1: 161-168.[3]Mahapatra P R and Mehrotra K. Mixed coordinate trackingof generalized maneuvering targets using acceleration andjerk models[J].IEEE Trans. on Aerospace and ElectronicSystems.2000, 36(3):992-1000[4]范小军, 刘锋. 一种新的机动目标跟踪的多模型算法[J].电子与信息学报.2007, 29(3):532-535浏览[5]Zhen X Y. Application of road information in ground movingtarget tracking[J]. Chinese Journal of Aeronautics, 2007, (6):529-538.[6]李菲, 潘平俊. 机动目标模型的研究进展[J]. 火力与指挥控制,2007, 32(10): 17-21.Li F and Pan P J. The research and progress of dynamicmodels for maneuvering target tracking[J]. Fire Control andCommand Control, 2007, 32(10): 17-21.[7]万德钧, 房建成, 王庆. GPS 动态滤波的理论、方法及其应用[M]. 南京: 江苏科学技术出版社, 2000: 67-70.Wan D J, Fang J C, and Wang Q. Theory and Method of GPSDynamic Filtering and Its Application[M]. Nanjing: JiangsuTechnology Press, 2000: 67-70.[8]Zhou H and Kumar K S P. A current statistical model andadaptive algorithm for estimating maneuvering targets[J].Journal of Guidance, Control and Dynamics.1984, 7(5):596-602[9]以光衢. 航空机载电子系统与设备[M]. 北京: 北京航空航天大学出版社, 1997: 44-46.Yi G Q. Aeronautic Airborne Electronic System andEquipment[M]. Beijing: Beijing University of Aeronautics andAstronautics Press, 1997: 44-46.[10]耿延睿, 崔中兴, 张洪钺等. 衰减因子自适应滤波及在组合导航中的应用[J]. 北京航空航天大学学报, 2004, 30(5): 434-438.Geng Y R, Cui Z X, and Zhang H Y, et al.. Adaptive fadingKalman filte rwith applications in integrated navigationsystem[J]. Journal of Beijing University of Aeronautics andAestronautics, 2004, 30(5): 434-438.[11]Xia Q J, Rao M, and Ying Y Q, et al.. Adaptive fadingkalman filter with an application[J].Automatica.1994, 30(12):1333-1338[12]Levent O and Aliev F A. Comment on adaptive fadingKalman filter with an application[J].Aautomatica.1998,34(12):1663-1664

施引文献

资源附件(0)

访问统计