Tracking swarms of unmanned aerial systems

• Autorzy: Easthope P. F. , Collinson A.

Warianty tytułu

PL

Śledzenie rojów bezzałogowych statków powietrznych

• Języki publikacji: EN

Abstrakty

EN

The proliferation of cheap Unmanned Aerial Systems (UAS) poses some significant challenges for the Ground Based Air Defence (GBAD) environment. Individual UAS are inherently difficult to detect, track, classify and identify, but the challenges are exacerbated if UAS are deployed in swarms. It can be appreciated that small physical size, combined with the extensive use of non-metallic materials, will render an individual UAS difficult to detect from a radar’s perspective. If such targets are deployed in a group, then the radar response is likely to consist of intermittent, uncorrelated observations on random subsets of the swarm as a whole, with no guarantee that observations made on individual constituent UAS will be consistent from scan to scan. This paper describes a tracking filter model that is able to simultaneously track the swarm centroid and the spatial dispersion of constituent UAS, without requiring any pre-processing of radar returns into clusters. Although this paper is primarily concerned with UAS, the authors are aware that other types of platform may usefully be employed in swarms, for example satellites, and that some large and complex unitary systems may present swarm-like characteristics to sensors. The principles discussed here may also be applicable in these other cases.

PL

W artykule zamieszczono równania określające oczekiwane liczby linii przechodzących przez k punktów, zdefiniowanych jako wąskie prostokątne obszary o zadanych wymiarach, które można znaleźć w szerszym kwadratowym obszarze zawierające punkty rozmieszczone z rozkładem normalnym. Zamieszczono wyniki symulacyjne, stanowiące podstawę do oceny prawdopodobieństwa tego, że liniowe serie pomiarów w środowisku zakłóconym mają charakter losowy.

Słowa kluczowe

EN

UAS swarms; swarm tracking; Kalman filters

PL

roje bezzałogowych statków powietrznych; filtry Kalmana

• Wydawca: Poznańskie Towarzystwo Przyjaciół Nauk
• Czasopismo: Studia z Automatyki i Informatyki
• Rocznik: 2018
• Tom: T. 43
• Strony: 47--63
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Easthope P. F.

• L-3 Communications ASA Ltd, Rusint House, Harvest Crescent, Fleet, Hampshire, GU51 2QS, UK

autor

Collinson A.

• 3 Communications ASA Ltd, Rusint House, Harvest Crescent, Fleet, Hampshire, GU51 2QS, UK

Bibliografia

• [1] ‘Locust’ swarm experiments: http://www.onr.navy.mil/media-center/press-releases/2015/locustlow-cost-uav-swarm-onr.aspx. Accessed 11 july 2016, Office of Naval Research, USA, 14 April 2015.
• [2] AeroVironment UAS. AeroVironment, USA, https://www.avinc.com/uas/adc/black_widow, Accessed 11 July 2016.
• [3] UAV Factory. UAV Factory, USA, http://www.uavfactory.com/page/technical-data, Accessed 11 July 2016.
• [4] FutureLab. Ars Electronica, https://www.aet.at/futurelab/en/project/drone-100, Accessed 26 September 2017.
• [5] S. Blackman and R. Popoli. Design and Analysis of Modern Tracking Systems. Artech House, Norwood, 3 edition, 1999.
• [6] P. Easthope. Tracking simulated UAV swarms using particle filters. In Proceedings of the 10th IET Data Fusion and Target Tracking Conference, UK, 2014. University of Liverpool.
• [7] A. Gelb. Applied Optimal Estimation. MIT Press, Cambridge, 1974.
• [8] T. Glad. Dynamic systems: Lecture 2 - observability. reglerteknik. ISY, Linköpings Universitet, 2014.
• [9] J. Hedrick and A. Girard. Control of Nonlinear Dynamic Systems: Theory and Applications. Printed Course, Universita Degli Studi di Padova, 2005.
• [10] P. Karber. Lessons learned from the Russo-Ukrainian war: Personal observations. Technical report, The Potomac Foundation, 2015.
• [11] L. Klein. Sensor and Data Fusion: A Tool for Information Assessment and Decision Making. SPIE Press, 2004.
• [12] G. Sartoretti, M.-O. Hongler, M. de Oliveira, and F. Mondrada. Decentralized self-selection of swarm trajectories: from dynamical systems theory to robotic implementation. Swarm Intelligence, 8(4):329–351, 2014.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).