volume | PIER Journals

2009-09-11

An Optimal Antenna Pattern Synthesis for Active Phased Array SAR Based on Particle Swarm Optimization and Adaptive Weighting Factor

Se-Young Kim,

Dr. Se-Young Kim

School of Electrical Engineering and Computer Science

Korea Advanced Institute of Science and Technology (KAIST)

Korea

Homepage

Noh-Hoon Myung

Dr. Noh-Hoon Myung

EE Dept.,

Korea Advanced Institute of Science and Technology

Korea

Homepage

Progress In Electromagnetics Research C, Vol. 10, 129-142, 2009

doi:10.2528/PIERC09080401 | Google Scholar

Abstract

This paper shows that an optimal antenna pattern for active phased array synthetic aperture radar (SAR) has been synthesized to meet the best performances based on particle swarm optimization (PSO) and adaptively selected weighting factors. Because the antenna radiation pattern has a very close relation with the performance of an active phased array SAR system, the authors derived the multi-objective cost functions on the basis of the system performance measures such as the range-to-ambiguity ratio, noise equivalent sigma zero, and radiometric accuracy. The antenna mask templates were derived from the SAR system design parameters in order to optimize the system requirements. To effectively minimize the cost functions and to search for the amplitude and phase excitations of an active phase array SAR antenna, the authors applied the PSO technique to SAR antenna pattern design and also carefully selected weighting factors to improve the fitness of the cost functions on the basis of the SAR performance.

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Se-Young Kim, and Noh-Hoon Myung, "An Optimal Antenna Pattern Synthesis for Active Phased Array SAR Based on Particle Swarm Optimization and Adaptive Weighting Factor," Progress In Electromagnetics Research C, Vol. 10, 129-142, 2009.
doi:10.2528/PIERC09080401

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