Behaviour Modelling of Satellites for Space Situational Awareness using Time Series Analysis and k-Means Clustering

Shivshankar, S and Ghose, D (2021) Behaviour Modelling of Satellites for Space Situational Awareness using Time Series Analysis and k-Means Clustering. In: 7th IEEE International Conference on Electronics, 9-11 Jul 2021, Bangalore.

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Abstract

As the space is becoming increasingly congested and contested, Situational awareness of resident space objects is essential for a country to safeguard its own space assets. This paper presents behavioural modelling of satellites using time series analysis and clustering technique. We use the approach of changepoint detection using singular spectrum transformation, by which identification of events that indicate intentional maneuver of satellites can be detected. Matrix profile was used to identify similar operational patterns in the time series orbital data of satellites. This paper also presents clustering analysis used to model benign satellite operational behaviour. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Harmonic analysis; K-means clustering; Orbits; Time series analysis, Analysis techniques; Behavioral model; Behaviour models; K-means++ clustering; Situational awareness; Space assets; Space objects; Space situational awareness; Time series clustering; Time-series analysis, Satellites
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	07 Feb 2022 12:18
Last Modified:	07 Feb 2022 12:18
URI:	http://eprints.iisc.ac.in/id/eprint/71272

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