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Adaptively robust filter based on synthetically fitting systematic errors and covariance matrices(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2005年第02期
Page:
60-62
Research Field:
Publishing date:

Info

Title:
Adaptively robust filter based on synthetically fitting systematic errors and covariance matrices
Author(s):
ZHANG Shuang-cheng 1; GAO Wei-guang 2
1.School of Geological Engineering and Surveying Engineering,Chang’ an University,Xi’ an 710054,China; 2.School of Surveying and Mapping,In formation Engineering University,Zhengzhou 450052,China
Keywords:
systematic errors;  covariance matrices;  robust estimation;  adaptively filter;  GPS
PACS:
P228.4
DOI:
-
Abstract:
Adaptive filter combined with synthetically estimating systematic errors and covariance matrices of systematic error can be used to resist the effect that is induced by the systematic errors or area systematic errors during the data of dynamic navigation is processed, but it is difficult to control the abnormal disturbance. The influence of the abnormal disturbance can be reduced by the adjusting the covariance matrix of state noises when the observation model and dynamics model exist ab- normal disturbance, so an arithmetic of adaptive robust filter is developed in this research. The results of simulated calcula- tion show that the adaptive robust filter that is developed in this research not only can reduce the influence of the systematic errors, but also can resist the influence that induced by abnormal disturbance.

References:

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Last Update: 1900-01-01