A study of compressed sensing based collision avoidance by multi-sensor CW radar data

Hossein Azodi; Uwe Siart; Thomas F. Eibert

doi:10.1109/EuRAD.2014.6991259

A study of compressed sensing based collision avoidance by multi-sensor CW radar data

Hossein Azodi, Uwe Siart, Thomas F. Eibert

Chair of High-Frequency Engineering

Technical University of Munich

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

3 Scopus citations

Abstract

Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuous-wave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.

Original language	English
Title of host publication	European Microwave Week 2014
Subtitle of host publication	"Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	269-272
Number of pages	4
ISBN (Electronic)	9782874870378
DOIs	https://doi.org/10.1109/EuRAD.2014.6991259
State	Published - 2014
Event	11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014 - Rome, Italy Duration: 8 Oct 2014 → 10 Oct 2014

Publication series

Name	European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference

Conference

Conference	11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014
Country/Territory	Italy
City	Rome
Period	8/10/14 → 10/10/14

Keywords

Anti-collision radar
Compressed sensing
Incoherent radar sensor network
Moving target parameters estimation

Access to Document

10.1109/EuRAD.2014.6991259

Cite this

Azodi, H., Siart, U., & Eibert, T. F. (2014). A study of compressed sensing based collision avoidance by multi-sensor CW radar data. In European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference (pp. 269-272). Article 6991259 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuRAD.2014.6991259

Azodi, Hossein ; Siart, Uwe ; Eibert, Thomas F. / A study of compressed sensing based collision avoidance by multi-sensor CW radar data. European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 269-272 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference).

@inproceedings{914c02452af64822a35a4527745f0e6f,

title = "A study of compressed sensing based collision avoidance by multi-sensor CW radar data",

abstract = "Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuous-wave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.",

keywords = "Anti-collision radar, Compressed sensing, Incoherent radar sensor network, Moving target parameters estimation",

author = "Hossein Azodi and Uwe Siart and Eibert, {Thomas F.}",

note = "Publisher Copyright: {\textcopyright} 2014 EuMA.; 11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014 ; Conference date: 08-10-2014 Through 10-10-2014",

year = "2014",

doi = "10.1109/EuRAD.2014.6991259",

language = "English",

series = "European Microwave Week 2014: {"}Connecting the Future{"}, EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "269--272",

booktitle = "European Microwave Week 2014",

}

Azodi, H, Siart, U & Eibert, TF 2014, A study of compressed sensing based collision avoidance by multi-sensor CW radar data. in European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference., 6991259, European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference, Institute of Electrical and Electronics Engineers Inc., pp. 269-272, 11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014, Rome, Italy, 8/10/14. https://doi.org/10.1109/EuRAD.2014.6991259

A study of compressed sensing based collision avoidance by multi-sensor CW radar data. / Azodi, Hossein; Siart, Uwe ; Eibert, Thomas F.
European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers Inc., 2014. p. 269-272 6991259 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference).

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

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AU - Siart, Uwe

AU - Eibert, Thomas F.

PY - 2014

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N2 - Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuous-wave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.

AB - Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuous-wave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.

KW - Anti-collision radar

KW - Compressed sensing

KW - Incoherent radar sensor network

KW - Moving target parameters estimation

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DO - 10.1109/EuRAD.2014.6991259

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T3 - European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference

SP - 269

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BT - European Microwave Week 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014

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Azodi H, Siart U , Eibert TF. A study of compressed sensing based collision avoidance by multi-sensor CW radar data. In European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers Inc. 2014. p. 269-272. 6991259. (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference). doi: 10.1109/EuRAD.2014.6991259

A study of compressed sensing based collision avoidance by multi-sensor CW radar data

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