Enhancing the position estimates of unmanned aerial vehicles by cooperation
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 26 August 2014
Abstract
Purpose
This paper aims to find methods to enhance position estimates for mobile terminals by cooperating with each other.
Design/methodology/approach
The main methods used are, on the one hand, mathematical modelling of the system, drone mobility, communication and positioning errors, and on the other hand, detailed discrete event simulation, which the author uses to evaluate the positioning errors. In the simulation runs, important parameters like signal speed, terminal velocity, area size and error correlation were varied. The author details the influence of these parameters on the theoretically possible error enhancement with respect to the traditional non-cooperative method.
Findings
Simulation results show that using cooperation is useful and can indeed significantly enhance the accuracy of position estimates, even in difficult situations. However, there are limits and the accuracy cannot always be enhanced.
Research limitations/implications
Future research might use more sophisticated processing methods to further enhance position estimates. Limitations are given by the use of discrete time models in an inherently continuous system. Discretization errors are, however, kept low by using small time steps.
Practical implications
It has been shown that the positioning of drone swarms can be significantly enhanced once drones cooperate with each other. This might improve maneuverability of drones in all situations where drone swarms are used.
Originality/value
It has been proven by using simulation that cooperative positioning can yield positioning enhancements, even in difficult situations, when using wireless communication. In this light, future research can come up with practical implementations of such a cooperative approach.
Keywords
Citation
Hlavacs, H. (2014), "Enhancing the position estimates of unmanned aerial vehicles by cooperation", International Journal of Pervasive Computing and Communications, Vol. 10 No. 3, pp. 255-275. https://doi.org/10.1108/IJPCC-06-2014-0037
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited