Algorithm for Synthesizing Measurements of Kinematic Parameters of a Moving Object

Authors

DOI:

https://doi.org/10.20535/2521-1943.2026.10.1.335565

Keywords:

measurement synthesis, data fusion, weighting coefficient, inertial measurement, kinematic parameters, unmanned aerial vehicle

Abstract

The paper investigates the process of synthesizing measurements of kinematic parameters of moving objects using data from disparate sensors within inertial measurement systems. The aim is to improve the accuracy and reliability of determining kinematic parameters without relying on a priori data and under limited computational resources, which is especially relevant for unmanned aerial vehicles operating in real-time. An algorithm for calculating measurement reliability weighting coefficients based on consistency matrices and correlation processing of two consecutive samples has been developed.
Experimental studies on unmanned aerial vehicle flight data demonstrated that the proposed approach improves measurement processing accuracy by 15–20 % compared to using individual sensor measurements while maintaining low computational costs and high sensitivity to data changes. The achieved results are explained by the use of an integral weighting coefficient that considers inter-sensor consistency and measurement stability, eliminating the need to store large data arrays.
The proposed algorithm can be applied in navigation and orientation systems for unmanned aerial vehicles, autonomous robotic complexes, and real-time monitoring systems for moving objects requiring high-accuracy processing of kinematic parameters under constrained computational resources.

References

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Published

2026-05-01

How to Cite

[1]
O. Marynoshenko and Y. Dymarchuk, “Algorithm for Synthesizing Measurements of Kinematic Parameters of a Moving Object”, Mech. Adv. Technol., vol. 10, no. 1, May 2026.

Issue

Vol. 10 No. 1 (2026): in progress

Section

Aviation Systems and Technologies

License

Copyright (c) 2026 Євгеній Димарчук, Олександр Мариношенко

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