STEPPED-FREQUENCY ISAR MOTION COMPENSATION USING PARTICLE SWARM OPTIMIZATION WITH AN ISLAND MODEL
Author(s) -
SangHong Park,
Hyo-Tae Kim,
KyungTae Kim
Publication year - 2008
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 89
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier08082107
Subject(s) - inverse synthetic aperture radar , particle swarm optimization , compensation (psychology) , motion compensation , motion (physics) , swarm behaviour , particle (ecology) , computer science , physics , geology , computer vision , artificial intelligence , radar , algorithm , radar imaging , telecommunications , psychology , oceanography , psychoanalysis
—This paper proposes a motion compensation method,to compensate,for the inter-pulse phase errors caused by the target movement in stepped-frequency ISAR imaging. For this purpose, genetic algorithm, particle swarm optimization (PSO) and PSO with an island model (PSOI) were applied in the proposed procedure. Simulation results using point scatterers and measured data show that PSOI is the most efficient in the proposed method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom