Nonlinear Kalman filter with self-organizing model
Keyword(s):
The Self
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To improve the accuracy of the aircraft navigation system error correction in the output signal is used. The errors of the navigation complex are estimated by using a nonlinear Kalman filter. It is proposed to use a nonlinear model constructed by the method of self-organization as a model of the process being evaluated. The effectiveness of the self-organization algorithm in comparison with the genetic algorithm and the neural network is confirmed by the results of mathematical modeling. Keywords aircraft; inertial navigation system; error model; self-organization algorithm
2019 ◽
Vol 2019
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pp. 1-12
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Keyword(s):
2012 ◽
Vol 245
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pp. 323-329
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2018 ◽
Vol 89
(11)
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pp. 115102
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2018 ◽
pp. 095441001879432