Practical implementation of the spectrogram-inverse Radon transform based algorithm for resident space objects parameter estimation

Selenia Ghio*, Marco Martorella, Daniele Staglianò, Dario Petri, Stefano Lischi, Riccardo Massini

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The increasing number of space objects represents a serious hazard for orbital space-based systems and human activities in space. Space object catalogues must be created and maintained in order to guarantee the safety of outer space activities. Space objects parameters must be estimated in order to characterise such objects. This study reports on the results achieved by running an experimental test conducted with a K-band frequency-modulated continuous-wave radar. The objective of this test is to determine the capability of the radar of estimating size and spin rate of the observed object. The feature estimation is performed with the spectrogram - inverse Radon transform-based algorithm. This test has been conducted using a programmable rotating platform on which the objects were placed. The experimental results have confirmed that this technique can be effectively used for spinning space debris characterisation.

Original languageEnglish
Pages (from-to)1254-1259
Number of pages6
JournalIET Science, Measurement and Technology
Volume13
Issue number9
DOIs
Publication statusPublished - 1 Nov 2019

Bibliographical note

Publisher Copyright:
© 2019 Institution of Engineering and Technology. All rights reserved.

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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