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Evaluating the Observability in the Combination Process of the Height Measurement Signals

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  • Nguyen Quang Vinh

    (Vietnam Academy of Military Science and Technology, Vietnam)

Abstract

In the modern navigation system, the height channel is always the most unstable channel. Combination processing the height measurement signals by using the Kalman filter algorithm can improve the precision of the high measurement. However, in the process of performing the signal processing algorithm by using the Kalman filter, the transition time to obtain the set status is long. Moreover, within different flight conditions, the inertia height meter will be combined with the supporting height meter to get the structure of the combination height meter in order to process the height measurement signals more precisely. In this article, the authors proposed using the criterion for evaluating the observable level to improve the quality of height measurement signal processing. The research results were simulated on three combined high measurements, in which the inertia height meter (IHM) (the basic meter) was combined with one or two supporting height meters (the radio height meter [RHM] and the barometer [AHM]) to show the correctness of the proposed algorithm.

Suggested Citation

  • Nguyen Quang Vinh, 2020. "Evaluating the Observability in the Combination Process of the Height Measurement Signals," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 10(4), pages 24-36, October.
    • Handle: RePEc:igg:jkbo00:v:10:y:2020:i:4:p:24-36
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