SISAR imaging for space debris based on nanosatellites
Theodorou, Ilias and Ilioudis, Christos and Clemente, Carmine and Vasile, Massimiliano and Soraghan, John (2020) SISAR imaging for space debris based on nanosatellites. IET Radar Sonar and Navigation, 14 (8). pp. 1192-1201. ISSN 1751-8784 (https://doi.org/10.1049/iet-rsn.2019.0574)
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Abstract
The increasing amount of space debris poses a growing challenge in the development of space travel. In previous work, a proposed system comprising of a low budget space-borne passive radar based on CubeSAT, flying in Low Earth Orbit (LEO), demonstrated promising results in terms of space debris detection performance. In this work, a novel shadow inverse synthetic aperture radar (SISAR) model for space debris imaging based on nanosatellite is presented. An analysis of the received forward scattering signal is provided along with a novel model for moving transmitters and receivers SISAR imaging. Using simulated data and assuming different scenarios, the performance of the new algorithm is assessed; wherein, a classification scheme is applied using the output of the SISAR algorithm for classification between simple target shapes.
ORCID iDs
Theodorou, Ilias ORCID: https://orcid.org/0000-0002-0261-9566, Ilioudis, Christos ORCID: https://orcid.org/0000-0002-7164-6461, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X, Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465 and Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Article ID code: 72122 Dates: DateEvent1 August 2020Published23 April 2020Published Online14 April 2020AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling Technologies
Technology and Innovation Centre > Advanced Engineering and Manufacturing
Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 21 Apr 2020 13:50 Last modified: 11 Nov 2024 12:39 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72122