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Real-time estimation of satellite clock offset using adaptively robust Kalman filter with classified adaptive factors

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Abstract

In order to estimate the satellite clock offset in a real-time mode, a new algorithm of adaptively robust Kalman filter with classified adaptive factors for clock offset estimation is proposed. Compared with standard Kalman filter clock offset model, the new method can detect and control outliers and clock jumps automatically in real-time. Moreover, the clock model parameters, which contain the clock offset, clock speed and clock shift, are classified to decide the adaptive factors in the new model. Thus, clock jumps with different characteristics can be distinguished more effectively. Meanwhile, the dynamic noise characteristics of clock offset series are used for stochastic modeling. An actual numerical example is presented, which shows that the proposed filter can give a better performance than other commonly used filters.

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Acknowledgments

This study was supported by National Natural Science Foundation of China (Grant No. 41020144004, 40841021 and 40902081), National High Technology Research and Development Program of China (Grant No. 2007AA12Z331), and also by the Special Fund for Basic Scientific Research of Central Colleges (Grant No. CHD2010ZY001, Chang’an University).

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  1. College of Geology Engineering and Geomantic, Chang’an University, Xi’an, 710054, Shaanxi, China

    Guanwen Huang & Qin Zhang

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  1. Guanwen Huang
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  2. Qin Zhang
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Correspondence to Guanwen Huang.

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Huang, G., Zhang, Q. Real-time estimation of satellite clock offset using adaptively robust Kalman filter with classified adaptive factors. GPS Solut 16, 531–539 (2012). https://doi.org/10.1007/s10291-012-0254-z

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