南京航空航天大学学报（英文版）2005，Vol.22Issue(2)：170-176,7.
基于Bancroft算法的GPS动态定位非线性滤波法
NONLINEAR FILTER METHOD OF GPS DYNAMIC POSITIONING BASED ON BANCROFT ALGORITHM
张勤 1陶本藻 2赵超英 1王利1
作者信息
- 1. 长安大学地质工程与测绘工程学院,西安,710054,中国
- 2. 武汉大学测绘学院,武汉,430079,中国
- 折叠
摘要
Abstract
Because of the ignored items after linearization, the extended Kalman filter (EKF) becomes a form of suboptimal gradient descent algorithm. The emanative tendency exists in GPS solution when the filter equations are ill-posed. The deviation in the estimation cannot be avoided. Furthermore, the true solution may be lost in pseudorange positioning because the linearized pseudorange equations are partial solutions. To solve the above problems in GPS dynamic positioning by using EKF, a closed-form Kalman filter method called the two-stage algorithm is presented for the nonlinear algebraic solution of GPS dynamic positioning based on the global nonlinear least squares closed algorithm-Bancroft numerical algorithm of American. The method separates the spatial parts from temporal parts during processing the GPS filter problems, and solves the nonlinear GPS dynamic positioning, thus getting stable and reliable dynamic positioning solutions.关键词
GPS动态定位/Bancroft算法/扩展卡尔曼滤波算法Key words
GPS dynamic positioning/Bancroft algorithm/extended Kalman filter algorithm分类
天文与地球科学引用本文复制引用
张勤,陶本藻,赵超英,王利..基于Bancroft算法的GPS动态定位非线性滤波法[J].南京航空航天大学学报（英文版）,2005,22(2):170-176,7.
