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Aerospace Instrument-Making

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KALMAN FILTER WITH LINEAR TREND IN THE CORRECTION SCHEME OF AIRCRAFT NAVIGATION SYSTEMS
A.V. Proletarsky, K.A. Neusypin, M.S. Selezneva, Hu Qiaotsu, Zhang Lifai

The correction scheme of the inertial navigation system in the output signal is considered using estimation algorithms. The estimation algorithms, namely, linear, non-linear Kalman filters and non-linear Kalman filters with a genetic algorithm are investigated. A method has been developed for modifying the linear Kalman filter by building a model of the process assessed by means of a linear trend. To evaluate the performance and accuracy of the Kalman filter modification, modeling was used based on laboratory experiment data with the serial inertial navigation system NC-30. The simulation results demonstrated a fairly high accuracy of information processing by the proposed algorithm. A comparative analysis of the developed algorithm with a linear Kalman filter and a non-linear Kalman filter equipped with a genetic algorithm is presented.
Keywords: inertial navigation system, Kalman filter, linear trend, estimation algorithm.


DOI: 10.25791/aviakosmos.08.2019.816

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