Joint Performance Optimization of Monostatic and Bistatic SAR Configurations

Conference paper (2021)

Authors

Nehir Berk Onat MetaSensing B.V, Eindhoven University of Technology
O. Dogan Microwave Sensing, Signals & Systems - EEMCS
Mario Azcuetac MetaSensing B.V
Ruud van Sloun Eindhoven University of Technology
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Optimization Genetic Algorithm Bistatic SAR Beam Forming
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

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.