Azimuth and Elevation Dynamic Tracking of UAVs via 3-Axial ULA and Particle Filtering
Joint Authors
Papaiz, Andrea
Tonello, Andrea M.
Source
International Journal of Aerospace Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-21
Country of Publication
Egypt
No. of Pages
9
Abstract EN
Unmanned Aerial Vehicles (UAVs) localization has become crucial in recent years, mainly for navigation or self-positioning and for UAV based security monitoring and surveillance.
In this paper, azimuth and elevation radio positioning of UAVs are considered.
The localization is based on multiple differential phase-of-arrival measures exploiting a 3-Axial Uniform Linear Array of antennas.
An ad hoc particle filtering algorithm is applied to improve the positioning performance using a dynamic motion model.
A novel adaptive algorithm, namely, Particles Swarm Adaptive Scattering (PSAS), is proposed to increment the algorithm stability and precision.
To assess performance a Confined Area Random Aerial Trajectory Emulator (CARATE) algorithm has been developed to generate actual paths of flying UAVs.
The algorithm performance is compared with the baseline method and with the average trajectory Cramér Rao lower bound to show the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Papaiz, Andrea& Tonello, Andrea M.. 2016. Azimuth and Elevation Dynamic Tracking of UAVs via 3-Axial ULA and Particle Filtering. International Journal of Aerospace Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105026
Modern Language Association (MLA)
Papaiz, Andrea& Tonello, Andrea M.. Azimuth and Elevation Dynamic Tracking of UAVs via 3-Axial ULA and Particle Filtering. International Journal of Aerospace Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1105026
American Medical Association (AMA)
Papaiz, Andrea& Tonello, Andrea M.. Azimuth and Elevation Dynamic Tracking of UAVs via 3-Axial ULA and Particle Filtering. International Journal of Aerospace Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1105026
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105026