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Volume 35 Issue 1
Jan.  2009
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Journal of Beijing University of Aeronautics and Astronautics  > 2009  >  35(1): 23-27.
Hong Jie, Deng Yin, Zhang Dayiet al. Dynamic design method of elastic ring squeeze film damper[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(06): 649-653. (in Chinese)
Citation: Zhu Yunlong, Yang Dongkai, Liu Zhongkanet al. Filtering algorithm used for high dynamic GPS frequency estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(1): 23-27. (in Chinese)
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Filtering algorithm used for high dynamic GPS frequency estimation

  • School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 18 Jan 2008
  • Publish Date: 31 Jan 2009
    Abstract
  • Aiming at the drawbacks of the extended Kalman filter (EKF) which is the widely used GPS frequency estimation algorithm in high dynamic circumstance, a novel filtering algorithm called simplified unscented Gaussian particle filter (SUGPF) was proposed. The SUGPF is the combination of Kalman filter (KF), unscented Kalman filter (UKF) and Gaussian particle filter (GPF). In time update step, KF methodology was used to update the predictive distributions. In measurement update step, the UKF methodology was used to obtain the important sampling function, and the posterior distributions were updated by using the methodology of GPF. The simulation results indicate that the SUGPF has improved performance and versatility over the EKF and UKF, under both Gaussian and non-Gaussian observation noise condition, SUGPF can achieve good performance which is similar as that of the GPF, and the computational complexity of the SUGPF is lower than that of the GPF.

     

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