2009
DOI: 10.1049/el.2009.1484
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Improved autofocusing of stepped-frequency ISAR images using new form of particle swarm optimisation

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Cited by 15 publications
(2 citation statements)
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“…   와    를 추정하기 위해 최적화 기법 중 널리 쓰이는 particle swarm optimization (PSO)를 적용한다 [3], [4] . [5] 과 대비 최소화 위상 보정 (Minimum Contrast Phase Adjustment: MCPA) 알고리즘 [6] 을 적용하였다.…”
Section: 진운동 성분을 제거할 수 있다 하지만 표적의 움직임이 매우 빠르거나unclassified
“…   와    를 추정하기 위해 최적화 기법 중 널리 쓰이는 particle swarm optimization (PSO)를 적용한다 [3], [4] . [5] 과 대비 최소화 위상 보정 (Minimum Contrast Phase Adjustment: MCPA) 알고리즘 [6] 을 적용하였다.…”
Section: 진운동 성분을 제거할 수 있다 하지만 표적의 움직임이 매우 빠르거나unclassified
“…However, SFW requires compensation for inter-pulse phase errors [8], and the fixed motion equipment [4,9], and the target must be portable so that its MD can be analyzed in various clutter environments. Furthermore, the rotation velocity of the target for micromotion dynamics must also be increased to resemble that of a real target.…”
Section: Introductionmentioning
confidence: 99%