Adaptive estimation of UVs navigation parameters by irregular inertial-satellite measurements
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 14 October 2020
Issue publication date: 12 October 2021
Abstract
Purpose
There are shortcomings of modern methods of ensuring the stability of Kalman filtration in unmanned vehicles’ (UVs) navigation systems under the condition of a priori uncertainty of the dispersion matrix of measurement interference. First, it is the absence of strict criteria for the selection of adaptation coefficients in the calculation of the a posteriori covariance matrix. Secondly, it is the impossibility of adaptive estimation in real time from the condition of minimum covariance of the updating sequence due to the necessity of its preliminary calculation.
Design/methodology/approach
This paper considers a new approach to the construction of the Kalman filter adaptation algorithm. The algorithm implements the possibility of obtaining an accurate adaptive estimation of navigation parameters for integrated UVs inertial-satellite navigation systems, using the correction of non-periodic and unstable inertial estimates by high-precision satellite measurements. The problem of adaptive estimation of the noise dispersion matrix of the meter in the Kalman filter can be solved analytically using matrix methods of linear algebra. A numerical example illustrates the effectiveness of the procedure for estimating the state vector of the UVs’ navigation systems.
Findings
Adaptive estimation errors are sharply reduced in comparison with the traditional scheme to the range from 2 to 7 m in latitude and from 1.5 to 4 m in longitude.
Originality/value
The simplicity and accuracy of the proposed algorithm provide the possibility of its effective application to the widest class of UVs’ navigation systems.
Keywords
Acknowledgements
Funding: The reported study was funded by RFBR according to the research project, No. 18-07-00126.Conflicts of Interest: The authors declare no conflict of interest.
Citation
Sokolov, S.V. and Novikov, A.I. (2021), "Adaptive estimation of UVs navigation parameters by irregular inertial-satellite measurements", International Journal of Intelligent Unmanned Systems, Vol. 9 No. 4, pp. 274-282. https://doi.org/10.1108/IJIUS-10-2019-0056
Publisher
:Emerald Publishing Limited
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