Reweighted Extreme Learning Machine-Based Clutter Suppression and Range Compensation Algorithm for Non-Side-Looking Airborne Radar

Non-side-looking airborne radar provides important applications on account of its all-round multi-angle airspace coverage. However, it suffers clutter range dependence that makes the samples fail to satisfy the condition of being independent and identically distributed (IID), and it severely degrade...

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Главные авторы:	Jing Liu, Guisheng Liao, Cao Zeng, Haihong Tao, Jingwei Xu, Shengqi Zhu, Filbert H. Juwono
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-03-01
Серии:	Remote Sensing
Предметы:	clutter suppression range compensation reweighted extreme learning machine non-side-looking airborne radar
Online-ссылка:	https://www.mdpi.com/2072-4292/16/6/1093
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