Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

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Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

Conference Paper (2021)

Author(s)

Nehir Berk Onat (MetaSensing B.V, Eindhoven University of Technology)

Ozan Dogan (TU Delft - Microwave Sensing, Signals & Systems)

Mario Azcuetac (MetaSensing B.V)

Ruud van Sloun (Eindhoven University of Technology)

Microwave Sensing, Signals & Systems

DOI related publication

https://doi.org/10.1109/IGARSS47720.2021.9554317

Optimization Genetic Algorithm Bistatic SAR Beam Forming

To reference this document use:

https://resolver.tudelft.nl/uuid:1a99812c-e27b-4245-8be3-e6bb1a3d000d

More Info

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Publication Year

2021

Language

English

Microwave Sensing, Signals & Systems

Pages (from-to)

5247-5250

ISBN (print)

978-1-6654-4762-1

ISBN (electronic)

978-1-6654-0369-6

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.

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