Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test

Selenia Ghio; Marco Martorella; Daniele Stagliano; Dario Petri; Stefano Lischi; Riccardo Massini

doi:10.1109/RADAR.2019.8835651

Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test

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

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Space safety is nowadays a really urgent topic to be addressed. The population of objects created by explosion, fragmentation and collision events needs to be characterized carefully in order effectively enable Collision Avoidance Manoeuvre (CAM) and Active Debris Removal (ADR). The joint use of time-frequency analysis and inverse Radon transform have a great potential for estimating rotating space object parameters. This potential has already been confirmed through simulation. In this paper, we present experimental results that further validate the proposed parameter estimation technique. Such experiments have been conducted in a laboratory by using a K-band FMCW radar and a small turntable.

Original language	English
Title of host publication	2019 IEEE Radar Conference, RadarConf 2019
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781728116792
DOIs	https://doi.org/10.1109/RADAR.2019.8835651
Publication status	Published - Apr 2019
Event	2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States Duration: 22 Apr 2019 → 26 Apr 2019

Publication series

Name	2019 IEEE Radar Conference, RadarConf 2019

Conference

Conference	2019 IEEE Radar Conference, RadarConf 2019
Country/Territory	United States
City	Boston
Period	22/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RADAR.2019.8835651

Cite this

Ghio, S., Martorella, M., Stagliano, D., Petri, D., Lischi, S., & Massini, R. (2019). Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test. In 2019 IEEE Radar Conference, RadarConf 2019 Article 8835651 (2019 IEEE Radar Conference, RadarConf 2019). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RADAR.2019.8835651

@inproceedings{a53da67399cc4af7a28b7c2325e1d4a4,

title = "Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test",

abstract = "Space safety is nowadays a really urgent topic to be addressed. The population of objects created by explosion, fragmentation and collision events needs to be characterized carefully in order effectively enable Collision Avoidance Manoeuvre (CAM) and Active Debris Removal (ADR). The joint use of time-frequency analysis and inverse Radon transform have a great potential for estimating rotating space object parameters. This potential has already been confirmed through simulation. In this paper, we present experimental results that further validate the proposed parameter estimation technique. Such experiments have been conducted in a laboratory by using a K-band FMCW radar and a small turntable.",

author = "Selenia Ghio and Marco Martorella and Daniele Stagliano and Dario Petri and Stefano Lischi and Riccardo Massini",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Radar Conference, RadarConf 2019 ; Conference date: 22-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/RADAR.2019.8835651",

language = "English",

series = "2019 IEEE Radar Conference, RadarConf 2019",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2019 IEEE Radar Conference, RadarConf 2019",

}

Ghio, S, Martorella, M, Stagliano, D, Petri, D, Lischi, S & Massini, R 2019, Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test. in 2019 IEEE Radar Conference, RadarConf 2019., 8835651, 2019 IEEE Radar Conference, RadarConf 2019, Institute of Electrical and Electronics Engineers (IEEE), 2019 IEEE Radar Conference, RadarConf 2019, Boston, United States, 22/04/19. https://doi.org/10.1109/RADAR.2019.8835651

Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test. / Ghio, Selenia; Martorella, Marco; Stagliano, Daniele et al.
2019 IEEE Radar Conference, RadarConf 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019. 8835651 (2019 IEEE Radar Conference, RadarConf 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Time-frequency analysis for feature extraction of rotating resident space objects

T2 - 2019 IEEE Radar Conference, RadarConf 2019

AU - Ghio, Selenia

AU - Martorella, Marco

AU - Stagliano, Daniele

AU - Petri, Dario

AU - Lischi, Stefano

AU - Massini, Riccardo

PY - 2019/4

Y1 - 2019/4

N2 - Space safety is nowadays a really urgent topic to be addressed. The population of objects created by explosion, fragmentation and collision events needs to be characterized carefully in order effectively enable Collision Avoidance Manoeuvre (CAM) and Active Debris Removal (ADR). The joint use of time-frequency analysis and inverse Radon transform have a great potential for estimating rotating space object parameters. This potential has already been confirmed through simulation. In this paper, we present experimental results that further validate the proposed parameter estimation technique. Such experiments have been conducted in a laboratory by using a K-band FMCW radar and a small turntable.

AB - Space safety is nowadays a really urgent topic to be addressed. The population of objects created by explosion, fragmentation and collision events needs to be characterized carefully in order effectively enable Collision Avoidance Manoeuvre (CAM) and Active Debris Removal (ADR). The joint use of time-frequency analysis and inverse Radon transform have a great potential for estimating rotating space object parameters. This potential has already been confirmed through simulation. In this paper, we present experimental results that further validate the proposed parameter estimation technique. Such experiments have been conducted in a laboratory by using a K-band FMCW radar and a small turntable.

UR - http://www.scopus.com/inward/record.url?scp=85073122481&partnerID=8YFLogxK

U2 - 10.1109/RADAR.2019.8835651

DO - 10.1109/RADAR.2019.8835651

M3 - Conference contribution

AN - SCOPUS:85073122481

T3 - 2019 IEEE Radar Conference, RadarConf 2019

BT - 2019 IEEE Radar Conference, RadarConf 2019

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 22 April 2019 through 26 April 2019

ER -

Time-frequency analysis for feature extraction of rotating resident space objects: An experimental test

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this