Images of satellite elements with a space-borne Sub-THz ISAR system

Emidio Marchetti*, Andrew Stove, Edward Hoare, Mikhail Cherniakov, Marina Gashinova

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sub-Terahertz technology (Sub-THz, 200 GHz-700 GHz) is proposed for imaging and recognition of space objects from a space-based sensor, using inverse synthetic aperture radar. Image resolution and quality are achieved thanks to the wide bandwidth available and the enhanced sensitivity of reflected signals in this band to surface texture and small features of the target. An experimental validation in controlled laboratory conditions of the system is presented. Representative parts of real satellites have been measured and images produced at sub-THz frequencies compared to lower frequency images.

Original languageEnglish
Title of host publication2021 18th European Radar Conference (EuRAD)
PublisherIEEE
Pages425-428
Number of pages4
ISBN (Electronic)9782874870651
ISBN (Print)9781665447232 (PoD)
DOIs
Publication statusPublished - 2 Jun 2022
Event18th European Radar Conference, EuRAD 2021 - London, United Kingdom
Duration: 5 Apr 20227 Apr 2022

Publication series

NameEuropean Radar Conference (EURAD)

Conference

Conference18th European Radar Conference, EuRAD 2021
Country/TerritoryUnited Kingdom
CityLondon
Period5/04/227/04/22

Bibliographical note

Funding Information:
This work is sponsored by the Defense Science and Technology Laboratory (DSTL), United Kingdom, as part of the Defense and Security Accelerator (DASA) competition, contract number: DSTLX1000141364. Author would also like to thank Professor Craig Underwood, University of Surrey, for lending the satellite solar panel sample.

Publisher Copyright:
© 2022 European Microwave Association (EuMA).

Keywords

  • ISAR
  • satellite elements imaging
  • space object recognition
  • space-borne radar
  • Sub-THz

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

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