一种GPS/GLONASS/INS数据融合算法A GPS/GLONASS/INS data fusion algorithm
刘毓,邹星
摘要(Abstract):
针对卫星导航系统和惯性导航系统(INS)的不同特性,提出了一种GPS/GLONASS/INS数据融合算法。采用差分自适应检测算法、改进码平均相位算法以及位置联合解算方法实现了GPS/GLONASS数据融合,借助于改进的粒子滤波器、INS误差模型建立系统状态方程和观测方程,完成GPS/GLONASS系统速度值和INS系统速度值数据融合,提高组合导航系统精度和可靠性。使用真实数据对数据融合算法性能进行仿真分析,结果表明所设计算法是有效的,能够处理非线性非高斯条件下的滤波估计,提高滤波精度和系统可靠性。
关键词(KeyWords): GPS/GLONASS/INS组合导航;惯导误差模型;非线性;非高斯
基金项目(Foundation): 国家自然科学基金项目(11201510);; 重庆市教委自然科学基金项目(KJ1401005)
作者(Author): 刘毓,邹星
DOI: 10.16251/j.cnki.1009-2307.2017.09.005
参考文献(References):
- [1]QI Honghui,MOORE J B.Direct Kalman filtering approach for GPS/INS integration[J].IEEE Transactions on Aerospace and Electronic Systems,2008,38(2):687-693.
- [2]JWO Dahjing,WANG Shenghung.Adaptive fuzzy strong tracking extended Kalman filteringfor GPS navigation[J].IEEE Sensors Journal,2007,7(5):778-789.
- [3]WANG Wei,LIU Zongyu,XIE Rongrong.Quadratic extended Kalman filter approach for GPS/INS integration[J].Aerospace Science and Technology,2006,10(8):709-713.
- [4]LI Dan,LIU Jianye LI Qiao,et al.FaultTolerant navigation method for satellite based on information fusion and unscented Kalman Filter[J].Journal of Systems Engineering and Electronics,2010,21(4):682-687.
- [5]JWO DJ,LAI Chunnan.Unscented Kalman filter with nonlinear dynamic process modeling for GPS navigation[J].GPS Solution,2009,12(4):249-260.
- [6]OZDEMIR O,NIU Ruixin,VARSHNEY K.Tracking in wireless sensor networks using particle filtering:Physical Layer Considerations[J].IEEE Transactions on Signal Processing,2009,57(5):1987-1999.
- [7]CHANG Wenyan,CHEN Chusong,JIANG Yongdian.Visual tracking in high-dimensional state space by appearance-guided particle filtering[J].IEEE Transactions on Image Processing,2008,17(7):1154-1167.
- [8]田世君,陈俊,皮亦鸣.粒子滤波在高动态GPS定位中的应用[J].测绘学报,2007,36(3):274-278.(TIAN Shijun,CHEN Jun,PI Yiming.Particle filtering and its application for kinematic GPS positioning with high speed movement[J].Acta Geodaetica et Cartographica Sinica,2007,36(3):274-278.)
- [9]崔平远,郑黎方,裴福俊.基于卡尔曼/粒子组合滤波器的组合导航方法研究[J].系统仿真学报,2009,21(1):220-223.(CUI Pingyuan,ZHENG Lifang,PEI Fujun.Kalman/Particle filter for integrated navigation system[J].Journal of System Simulation,2009,21(1):220-223.)
- [10]吴孙勇,廖桂生,杨志伟.改进粒子滤波的弱目标跟踪与检测[J].宇航学报,2010,31(10):2395-2400.(WU Sunyong,LIAO Guisheng,YANG Zhiwei.Tracking and detecting for weak target based on improved particle filter[J].Journal of Astronautics,2010,31(10):2395-2400.)
- [11]聂建亮,杨元喜,吴富梅.一种基于改进粒子滤波的动态精密单点定位算法[J].测绘学报,2010,39(4):338-343.(NIE Jianliang,YANG Yuanxi,WU Fumei.An algorithm of dynamic precise point positioning based on modified particle filtering[J].Acta Geodaetica et Cartographica sinica,2010,39(4):338-343.)
- [12]高社生,王建超.自适应均方根Unscented粒子滤波算法研究[J].西北工业大学学报,2011,29(3):460-464.(GAO Shesheng,WANG Jianchao.Proposing adaptive square root unscented particle filtering algorithm[J].Journal of Northwestern Polytechnical University,2011,29(3):460-464.)
- [13]HU Haidong,HUANG Xianlin.SINS/CNS/GPS integrated navigation algortichm based on UKF[J].Journal of Systems Engineering and Electronics,2010,21(1):102-109.
- [14]汲清波,杨洋.一种粒子滤波的改进算法[J].计算机工程与应用,2011,47(17):47-50.(JI Qingbo,YANG Yang.Improved algorithm of particle filtering[J].Computer Engineering and Applications,2011,47(17):47-50.)
- [15]QI C,BONDON P.A new unscented particle filter[C]//IEEE International Conference on Acoustics Speech and Signal Processing,Las Vegas,NV,USA.:[s.n.],2008:3417-3420.
- [16]薛丽,高社生,王建超.一种新的抗差自适应Unscented粒子滤波[J].西北工业大学学报,2011,29(3):470-475.(XUE Li,GAO Shesheng,WANG Jianchao.Proposing a robust adaptive unscented particle filtering algorithm[J].Journal of Northwestern Polytechnical University,2011,29(3):470-475.)