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Cooperative target localization using multiple UAVs with out-of-sequence measurements

Xiaogang Wang (Department of Aerospace Engineering, Harbin Institute of Technology, Harbin, China)
Wutao Qin (Department of Aerospace Engineering, Harbin Institute of Technology, Harbin, China)
Yuliang Bai (Department of Aerospace Engineering, Harbin Institute of Technology, Harbin, China)
Naigang Cui (Department of Aerospace Engineering, Harbin Institute of Technology, Harbin, China)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 3 January 2017

238

Abstract

Purpose

The time delay would occurs when the measurements of multiple unmanned aerial vehicles (UAVs) are transmitted to the date processing center during cooperative target localization. This problem is often named as the out-of-sequence measurement (OOSM) problem. This paper aims to present a nonlinear filtering based on solving the Fokker–Planck equation to address the issue of OOSM.

Design/methodology/approach

According to the arrival time of measurement, the proposed nonlinear filtering can be divided into two parts. The non-delay measurement would be fused in the first part, in which the Fokker–Planck equation is utilized to propagate the conditional probability density function in the forward form. The time delay measurement is fused in the second part, in which the Fokker–Planck is used in the backward form approximately. The Bayes formula is applied in both parts during the measurement update.

Findings

Under the Bayesian filtering framework, this nonlinear filtering is not only suitable for the Gaussian noise assumption but also for the non-Gaussian noise assumption. The nonlinear filtering is applied to the cooperative target localization problem. Simulation results show that the proposed filtering algorithm is superior to the previous Y algorithm.

Practical implications

In this paper, the research shows that a better performance can be obtained by fusing multiple UAV measurements and treating time delay in measurement with the proposed algorithm.

Originality/value

In this paper, the OOSM problem is settled based on solving the Fokker–Planck equation. Generally, the Fokker–Planck equation can be used to predict the probability density forward in time. However, to associate the current state with the state related to OOSM, it would be used to propagate the probability density backward either.

Keywords

Acknowledgements

This work has been sponsored by project 61304236 supported by National Science Foundation of China.

Citation

Wang, X., Qin, W., Bai, Y. and Cui, N. (2017), "Cooperative target localization using multiple UAVs with out-of-sequence measurements", Aircraft Engineering and Aerospace Technology, Vol. 89 No. 1, pp. 112-119. https://doi.org/10.1108/AEAT-06-2015-0160

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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