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The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion

Author

Listed:
  • Guangyue Xue
  • Yubin Xu
  • Jing Guo
  • Wei Zhao

Abstract

A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted fractional Kalman filter, and then the state estimation is updated at the current time when the delayed measurement arrives following the similar pattern of Kalman filter. The simulation examples are given to illustrate the effectiveness of the proposed fusion method.

Suggested Citation

  • Guangyue Xue & Yubin Xu & Jing Guo & Wei Zhao, 2018. "The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion," Complexity, Hindawi, vol. 2018, pages 1-10, December.
    • Handle: RePEc:hin:complx:1450353
    DOI: 10.1155/2018/1450353
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    Cited by:

    1. Shuai Li & Chengdai Huang & Xinyu Song, 2019. "Bifurcation Based-Delay Feedback Control Strategy for a Fractional-Order Two-Prey One-Predator System," Complexity, Hindawi, vol. 2019, pages 1-13, April.

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