Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

Nehir Berk  Onat; Ozan Dogan; Mario  Azcuetac; Ruud van  Sloun

doi:10.1109/IGARSS47720.2021.9554317

Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

Nehir Berk Onat, Ozan Dogan, Mario Azcuetac, Ruud van Sloun

Microwave Sensing, Signals & Systems

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

Abstract

This study focuses on the optimization of phased array antenna excitation coefficients for a spaceborne synthetic aperture radar (SAR) system, comprising a joint mono static and bistatic configuration. An amplitude-only binary-coded Genetic algorithm (BGA) is proposed for the joint non-linear optimization problem to improve monostatic and bistatic SAR performance metrics. Based on the developed optimizer, significant performance improvement is achieved for both configurations.

Original language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Subtitle of host publication	Proceedings
Place of Publication	Danvers
Publisher	IEEE
Pages	5247-5250
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6
ISBN (Print)	978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554317
Publication status	Published - 2021
Event	IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing Symposium - Virtual at Brussels, Belgium Duration: 11 Jul 2021 → 16 Jul 2021

Conference

Conference	IGARSS 2021
Country/Territory	Belgium
City	Virtual at Brussels
Period	11/07/21 → 16/07/21

Keywords

Bistatic SAR
Beam Forming
Genetic Algorithm
Optimization

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10.1109/IGARSS47720.2021.9554317

Cite this

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title = "Joint Performance Optimization of Monostatic and Bistatic SAR Configurations",

abstract = "This study focuses on the optimization of phased array antenna excitation coefficients for a spaceborne synthetic aperture radar (SAR) system, comprising a joint mono static and bistatic configuration. An amplitude-only binary-coded Genetic algorithm (BGA) is proposed for the joint non-linear optimization problem to improve monostatic and bistatic SAR performance metrics. Based on the developed optimizer, significant performance improvement is achieved for both configurations.",

keywords = "Bistatic SAR, Beam Forming, Genetic Algorithm, Optimization",

author = "Onat, {Nehir Berk} and Ozan Dogan and Mario Azcuetac and Sloun, {Ruud van}",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554317",

language = "English",

isbn = "978-1-6654-4762-1",

pages = "5247--5250",

booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS",

publisher = "IEEE",

address = "United States",

note = "IGARSS 2021 : 2021 IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 11-07-2021 Through 16-07-2021",

}

Joint Performance Optimization of Monostatic and Bistatic SAR Configurations. / Onat, Nehir Berk ; Dogan, Ozan; Azcuetac, Mario et al.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS: Proceedings. Danvers: IEEE, 2021. p. 5247-5250 9554317.

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

TY - GEN

T1 - Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

AU - Onat, Nehir Berk

AU - Dogan, Ozan

AU - Azcuetac, Mario

AU - Sloun, Ruud van

PY - 2021

Y1 - 2021

N2 - This study focuses on the optimization of phased array antenna excitation coefficients for a spaceborne synthetic aperture radar (SAR) system, comprising a joint mono static and bistatic configuration. An amplitude-only binary-coded Genetic algorithm (BGA) is proposed for the joint non-linear optimization problem to improve monostatic and bistatic SAR performance metrics. Based on the developed optimizer, significant performance improvement is achieved for both configurations.

AB - This study focuses on the optimization of phased array antenna excitation coefficients for a spaceborne synthetic aperture radar (SAR) system, comprising a joint mono static and bistatic configuration. An amplitude-only binary-coded Genetic algorithm (BGA) is proposed for the joint non-linear optimization problem to improve monostatic and bistatic SAR performance metrics. Based on the developed optimizer, significant performance improvement is achieved for both configurations.

KW - Bistatic SAR

KW - Beam Forming

KW - Genetic Algorithm

KW - Optimization

U2 - 10.1109/IGARSS47720.2021.9554317

DO - 10.1109/IGARSS47720.2021.9554317

M3 - Conference contribution

SN - 978-1-6654-4762-1

SP - 5247

EP - 5250

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

PB - IEEE

CY - Danvers

T2 - IGARSS 2021

Y2 - 11 July 2021 through 16 July 2021

ER -

Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

Abstract

Conference

Keywords

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