Adaptive Detection of Range Migrating Target in non-Gaussian Clutter

Nikita Petrov; Francois le Chevalier; Alexander Yarovoy

doi:10.1109/RADAR41533.2019.171373

Adaptive Detection of Range Migrating Target in non-Gaussian Clutter

Nikita Petrov, Francois le Chevalier, Alexander Yarovoy

Microwave Sensing, Signals & Systems

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

3 Citations (Scopus)

52 Downloads (Pure)

Abstract

Adaptive detection of fast moving targets by means of high range resolution radar is considered. It is assumed that a fast-moving target of interest has a few range cells migration during the coherent processing interval and the clutter power fluctuates rapidly along the range. Therefore, the target competes with the clutter responses in a few adjacent range cells, modeled by Compound-Gaussian process. The adaptive CFAR detector of range-migrating targets is designed and it is complemented by the algorithm for covariance matrix estimation from the reference data. The generalized approach for detection of range-extended migrating targets is provided. The performance of the proposed detectors is evaluated via numerical simulations, showing valuable improvement over the conventional techniques.

Original language	English
Title of host publication	2019 International Radar Conference, RADAR 2019
Number of pages	6
ISBN (Electronic)	978-1-7281-2660-9
DOIs	https://doi.org/10.1109/RADAR41533.2019.171373
Publication status	Published - 2019
Event	2019 International Radar Conference - Toulon, France Duration: 23 Sept 2019 → 27 Sept 2019 https://www.radar2019.org/

Publication series

Name	2019 International Radar Conference, RADAR 2019

Conference

Conference	2019 International Radar Conference
Abbreviated title	Radar-2019
Country/Territory	France
City	Toulon
Period	23/09/19 → 27/09/19
Internet address	https://www.radar2019.org/

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.

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10.1109/RADAR41533.2019.171373

09078898Final published version, 1.58 MB

Cite this

@inproceedings{5a8ec6a1ad394453b077b6b7da15fb60,

title = "Adaptive Detection of Range Migrating Target in non-Gaussian Clutter",

abstract = "Adaptive detection of fast moving targets by means of high range resolution radar is considered. It is assumed that a fast-moving target of interest has a few range cells migration during the coherent processing interval and the clutter power fluctuates rapidly along the range. Therefore, the target competes with the clutter responses in a few adjacent range cells, modeled by Compound-Gaussian process. The adaptive CFAR detector of range-migrating targets is designed and it is complemented by the algorithm for covariance matrix estimation from the reference data. The generalized approach for detection of range-extended migrating targets is provided. The performance of the proposed detectors is evaluated via numerical simulations, showing valuable improvement over the conventional techniques.",

author = "Nikita Petrov and \{le Chevalier\}, Francois and Alexander Yarovoy",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ; 2019 International Radar Conference, Radar-2019 ; Conference date: 23-09-2019 Through 27-09-2019",

year = "2019",

doi = "10.1109/RADAR41533.2019.171373",

language = "English",

series = "2019 International Radar Conference, RADAR 2019",

booktitle = "2019 International Radar Conference, RADAR 2019",

url = "https://www.radar2019.org/",

}

Adaptive Detection of Range Migrating Target in non-Gaussian Clutter. / Petrov, Nikita; le Chevalier, Francois; Yarovoy, Alexander.
2019 International Radar Conference, RADAR 2019. 2019. 9078898 (2019 International Radar Conference, RADAR 2019).

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

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T1 - Adaptive Detection of Range Migrating Target in non-Gaussian Clutter

AU - Petrov, Nikita

AU - le Chevalier, Francois

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 - 2019

Y1 - 2019

N2 - Adaptive detection of fast moving targets by means of high range resolution radar is considered. It is assumed that a fast-moving target of interest has a few range cells migration during the coherent processing interval and the clutter power fluctuates rapidly along the range. Therefore, the target competes with the clutter responses in a few adjacent range cells, modeled by Compound-Gaussian process. The adaptive CFAR detector of range-migrating targets is designed and it is complemented by the algorithm for covariance matrix estimation from the reference data. The generalized approach for detection of range-extended migrating targets is provided. The performance of the proposed detectors is evaluated via numerical simulations, showing valuable improvement over the conventional techniques.

AB - Adaptive detection of fast moving targets by means of high range resolution radar is considered. It is assumed that a fast-moving target of interest has a few range cells migration during the coherent processing interval and the clutter power fluctuates rapidly along the range. Therefore, the target competes with the clutter responses in a few adjacent range cells, modeled by Compound-Gaussian process. The adaptive CFAR detector of range-migrating targets is designed and it is complemented by the algorithm for covariance matrix estimation from the reference data. The generalized approach for detection of range-extended migrating targets is provided. The performance of the proposed detectors is evaluated via numerical simulations, showing valuable improvement over the conventional techniques.

UR - https://www.scopus.com/pages/publications/85084955834

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DO - 10.1109/RADAR41533.2019.171373

M3 - Conference contribution

T3 - 2019 International Radar Conference, RADAR 2019

BT - 2019 International Radar Conference, RADAR 2019

T2 - 2019 International Radar Conference

Y2 - 23 September 2019 through 27 September 2019

ER -

Adaptive Detection of Range Migrating Target in non-Gaussian Clutter

Abstract

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