Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data

Detmer A. Bosma; Oleg A. Krasnov; Alexander Yarovoy

Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data

Detmer A. Bosma^*, Oleg A. Krasnov, Alexander Yarovoy

^*Corresponding author for this work

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Polarimetric radar responses from moving automotive targets are studied aiming at target classification using the polarimetric H/A/α-decomposition technique. A signal- and data processing chain has been proposed for the detection and tracking of targets in a multi-target environment in the range-Doppler domain. Polarimetric information of the vehicles is collected during tracking and is analyzed by the H/A/α-decomposition technique. Employing both time averaging and spatial averaging of the statistical coherency matrix, the polarimetric signatures of both vehicles and static clutter have been presented in the two-dimensional H/α-plane. It has been found that the spatial averaging approach results in a polarimetric signature that can be very helpful to distinguish automotive vehicles from static clutter.

Original language	English
Title of host publication	Proceedings of the 2022 23rd International Radar Symposium (IRS)
Publisher	IEEE
Pages	414-419
Number of pages	6
ISBN (Electronic)	978-83-956020-5-4
ISBN (Print)	978-1-6654-6630-1
Publication status	Published - 2022
Event	2022 23rd International Radar Symposium (IRS) - Gdansk, Poland Duration: 12 Sept 2022 → 14 Sept 2022

Conference

Conference	2022 23rd International Radar Symposium (IRS)
Country/Territory	Poland
City	Gdansk
Period	12/09/22 → 14/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

polarimetric radar
polarimetric signature
H/A/α-decomposition
polarimetric fusion
target detection
multi-target tracking

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Polarimetric_Signatures_of_Moving_Automotive_Vehicles_Based_on_H_A_-decomposition_Preliminary_Results_with_PARSAX_Radar_DataFinal published version, 1.26 MB

https://ieeexplore.ieee.org/document/9905019

First Prize at the Young Scientist Contest at 2022 International Radar Symposium
Bosma, D.A. (Recipient), 14 Sept 2022
Prize: Prize (including medals and awards)

Cite this

@inproceedings{9aded3ee6a2741858a29fc97e65ffd7e,

title = "Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data",

abstract = "Polarimetric radar responses from moving automotive targets are studied aiming at target classification using the polarimetric H/A/α-decomposition technique. A signal- and data processing chain has been proposed for the detection and tracking of targets in a multi-target environment in the range-Doppler domain. Polarimetric information of the vehicles is collected during tracking and is analyzed by the H/A/α-decomposition technique. Employing both time averaging and spatial averaging of the statistical coherency matrix, the polarimetric signatures of both vehicles and static clutter have been presented in the two-dimensional H/α-plane. It has been found that the spatial averaging approach results in a polarimetric signature that can be very helpful to distinguish automotive vehicles from static clutter.",

keywords = "polarimetric radar, polarimetric signature, H/A/α-decomposition, polarimetric fusion, target detection, multi-target tracking",

author = "Bosma, {Detmer A.} and Krasnov, {Oleg A.} and Alexander Yarovoy",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 23rd International Radar Symposium (IRS) ; Conference date: 12-09-2022 Through 14-09-2022",

year = "2022",

language = "English",

isbn = "978-1-6654-6630-1",

pages = "414--419",

booktitle = "Proceedings of the 2022 23rd International Radar Symposium (IRS)",

publisher = "IEEE",

address = "United States",

}

Bosma, DA , Krasnov, OA & Yarovoy, A 2022, Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data. in Proceedings of the 2022 23rd International Radar Symposium (IRS). IEEE, pp. 414-419, 2022 23rd International Radar Symposium (IRS), Gdansk, Poland, 12/09/22. <https://ieeexplore.ieee.org/document/9905019>

Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data. / Bosma, Detmer A.; Krasnov, Oleg A.; Yarovoy, Alexander.
Proceedings of the 2022 23rd International Radar Symposium (IRS). IEEE, 2022. p. 414-419.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition

T2 - 2022 23rd International Radar Symposium (IRS)

AU - Bosma, Detmer A.

AU - Krasnov, Oleg A.

AU - Yarovoy, Alexander

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - Polarimetric radar responses from moving automotive targets are studied aiming at target classification using the polarimetric H/A/α-decomposition technique. A signal- and data processing chain has been proposed for the detection and tracking of targets in a multi-target environment in the range-Doppler domain. Polarimetric information of the vehicles is collected during tracking and is analyzed by the H/A/α-decomposition technique. Employing both time averaging and spatial averaging of the statistical coherency matrix, the polarimetric signatures of both vehicles and static clutter have been presented in the two-dimensional H/α-plane. It has been found that the spatial averaging approach results in a polarimetric signature that can be very helpful to distinguish automotive vehicles from static clutter.

AB - Polarimetric radar responses from moving automotive targets are studied aiming at target classification using the polarimetric H/A/α-decomposition technique. A signal- and data processing chain has been proposed for the detection and tracking of targets in a multi-target environment in the range-Doppler domain. Polarimetric information of the vehicles is collected during tracking and is analyzed by the H/A/α-decomposition technique. Employing both time averaging and spatial averaging of the statistical coherency matrix, the polarimetric signatures of both vehicles and static clutter have been presented in the two-dimensional H/α-plane. It has been found that the spatial averaging approach results in a polarimetric signature that can be very helpful to distinguish automotive vehicles from static clutter.

KW - polarimetric radar

KW - polarimetric signature

KW - H/A/α-decomposition

KW - polarimetric fusion

KW - target detection

KW - multi-target tracking

M3 - Conference contribution

SN - 978-1-6654-6630-1

SP - 414

EP - 419

BT - Proceedings of the 2022 23rd International Radar Symposium (IRS)

PB - IEEE

Y2 - 12 September 2022 through 14 September 2022

ER -

Polarimetric Signatures of Moving Automotive Vehicles Based on H/A/α-decomposition: Preliminary Results with PARSAX Radar Data

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Prizes

First Prize at the Young Scientist Contest at 2022 International Radar Symposium

Cite this