摘要
通过模拟GPS卫星系统的运行以及接收机的运动轨迹,采用11状态PVA(Position-Velocity-Acceleration)导航模型进行导航定位分析,并分别采用扩展卡尔曼粒子滤波和扩展卡尔曼滤波计算导航解,结果表明两种滤波均能得出较好导航解,并且前者削弱了多路径效应的影响,进一步提高了导航定位精度,尤其在高程方向精度提高更为明显。
In order to assess the system performance, the GPS constellation and the moving trajectory of receiver are simulated, a 11-dimensional state Position-Velocity-Acceleration （PVA） navigation model is used for analysis. The EKF and EKPF model are separately adopted to obtain the navigation solution, the simulated results show that both the two models are satisfactory, while the navigation performance of the proposed EKPF algorithm is superior to EKF, especially in vertical direction, and impact of multipath effect has been reduced.
出处
《大地测量与地球动力学》
CSCD
北大核心
2013年第2期139-142,共4页
Journal of Geodesy and Geodynamics
基金
江苏高校优势学科建设工程资助项目(PAPD)
国土资源部公益性行业科研专项(201011015-2)
关键词
GPS导航
导航模型
粒子滤波
扩展卡尔曼滤波
扩展卡尔曼粒子滤波
GPS navigation
navigation model
particle filter（PF）
extended Kalman filter（EKF）
extended Kal- man particle filter
