张双成, 杨元喜, 张勤, 高为广. 一种基于Bancroft算法的GPS动态抗差自适应滤波[J]. 武汉大学学报 ( 信息科学版), 2007, 32(4): 309-311.
引用本文: 张双成, 杨元喜, 张勤, 高为广. 一种基于Bancroft算法的GPS动态抗差自适应滤波[J]. 武汉大学学报 ( 信息科学版), 2007, 32(4): 309-311.
ZHANG Shuangcheng, YANG Yuanxi, ZHANG Qin, GAO Weiguang. An Adaptively Robust Filter Based on Bancroft Algorithm in GPS Navigation[J]. Geomatics and Information Science of Wuhan University, 2007, 32(4): 309-311.
Citation: ZHANG Shuangcheng, YANG Yuanxi, ZHANG Qin, GAO Weiguang. An Adaptively Robust Filter Based on Bancroft Algorithm in GPS Navigation[J]. Geomatics and Information Science of Wuhan University, 2007, 32(4): 309-311.

一种基于Bancroft算法的GPS动态抗差自适应滤波

An Adaptively Robust Filter Based on Bancroft Algorithm in GPS Navigation

  • 摘要: 基于抗差自适应滤波的思想,结合非线性Bancroft算法的特点,提出了一种基于Bancroft算法的GPS动态抗差自适应滤波。计算表明,该算法不仅在一定程度上减弱了由于线性化忽略高次项对导航解的影响,而且再次证实抗差自适应滤波在控制扰动异常的有效性和合理性。

     

    Abstract: An adaptively robust filter based on Bancroft algorithm and GPS two-stage filter in GPS navigation is developed,in order to control the influences of the dynamic model disturbances,nonlinear problems and outlier existing in measurements.A numerical example is given to demonstrate the ideas involved.It is shown that the new algorithm not only resists the influences of omitted high-order items on the estimated states of navigation,but also controls the outlying kinematic model errors and measurement outliers.

     

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