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TDoA based UAV localization using dual-EKF algorithm
- Issue Date
- 2009
- Keywords
- Dual-EKF; Localization; Time difference of arrival; Unmaned aerial vehicles
- Citation
- International Journal of Control and Automation, v.2, no.4, pp.35 - 42
- Indexed
- SCOPUS
- Journal Title
- International Journal of Control and Automation
- Volume
- 2
- Number
- 4
- Start Page
- 35
- End Page
- 42
- ISSN
- 2005-4297
- Abstract
- Most UAV(unmaned aerial vehicle) systems use GPS signals only to locate the emitter's position. However GPS signals contain unwanted information contaminated by environmental components and many interference signals. In this paper, to obtain TDoA signal, we use two UAVs which are equipped with embedded wireless sensors. Under the real geolocation circumstance, it is very difficult to estimate the emitter's position exactly due to environmental noise. In this paper we use the dual-EKF algorithm to obtain the optimal estimation of state values and unknown parameters. The dual-EKF algorithm overcomes the weakness of EKF algorithm which has been widely used in geolocation problem. The performance of our proposed algorithm will be demonstrated through some simulations of UAVs.
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Related Researcher
- YOU, KWAN HO
- Information and Communication Engineering (Electronic and Electrical Engineering)