Outdoor position estimation based on a combination system of GPS-INS by using UPF

被引:1
作者
Yunki Kim [1 ]
Jaehyun Park [1 ]
Jangmyung Lee [1 ]
机构
[1] Dept.of Electrical Engineering,Pusan National University,Pusan 609-735,Korea
关键词
global positioning system(GPS); unscented particle filter(UPF); navigation; inertial navigation system(INS); strapdown inertial navigation system(SDINS);
D O I
暂无
中图分类号
TN967.1 [卫星导航系统];
学科分类号
080401 ; 081105 ; 0825 ;
摘要
This paper proposes a technique that global positioning system(GPS)combines inertial navigation system(INS)by using unscented particle filter(UPF)to estimate the exact outdoor position.This system can make up for the weak point on position estimation by the merits of GPS and INS.In general,extended Kalman filter(EKF)has been widely used in order to combine GPS with INS.However,UPF can get the position more accurately and correctly than EKF when it is applied to real-system included non-linear,irregular distribution errors.In this paper,the accuracy of UPF is proved through the simulation experiment,using the virtual-data needed for the test.
引用
收藏
页码:47 / 51
页数:5
相关论文
共 17 条
  • [1] Siouris. Aerospace avionics . 1993
  • [2] The unscented Kalman filter for nonlinear estimation. Wan E A,Van Der Merwe R. Proceedings of IEEE Symposium on Adaptive Systems for Signal Processing, Communication and Control (AS-SPCC) . 2000
  • [3] Investigations on GPS/INS integration for land vehicle navigation. Park J Y,Lee J H,Nam D K,et al. Proceedings of KIIS fall conference . 2009
  • [4] Hybrid extended particle filter (HEPF)for integrated inertial navigation and global positioning system. Aggarwal P,Syed Z,El-sheimy N. Measurement Science and Technology . 2009
  • [5] Using low-cost MEMS3D accelerometer and one gyro to assist GPS based car navigation system. Davidson P,Hautam¨aki J,Collin J. http:// www.tkt.cs.tut.fi/research/nappo.htm . 2012
  • [6] MEMS-based integrated navigation. Aggarwal P,Syed Z,Noureldin A,et al. . 2010
  • [7] Time synchronization errors in GPSaided inertial navigation system. Skog I,Handel P. IEEE Transactions on Intelligent Transportation Systems . 2011
  • [8] Particle filter for sensor fusion in a land vehicle navigation system. Ning Yang,Wei Feng Tian,Zhi Hua Jin,and Chuan Bin Zhang. Measurement Science and Technology . 2005
  • [9] Estimation of attitude and position of moving objects using multi-filtered inertial nav-i gation system. Hwang S Y,Lee J M. The Transactions of KIEE . 2011
  • [10] Optimal filtering with Kalman filters and smoothers-a manual for matlab toolbox EKF/ UKF. Hartikainen J,Sarkka S. Biomedical Engineering . 2008