A Segmentation-Based CFAR Detector With Spatial Continuity Constraint in Nonhomogeneous Weather Clutter

The performance of conventional constant false alarm rate (CFAR) detectors may degrade in nonhomogeneous clutter environments, as accurately estimating the clutter distribution in the cell under test (CUT) using reference cells becomes challenging. In this article, a CFAR detector based on clutter s...

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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 61; číslo 2; s. 3306 - 3322
Hlavní autori:	Yan, Yujia, Hu, Cheng, Cai, Jiong, Li, Weidong, Yu, Teng, Wang, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aerospace and electronic systems Algorithms Clutter Clutter segmentation Constant false alarm rate Constraints Detectors False alarms Fields (mathematics) Hidden Markov models hidden Markov random field (HMRF) Meteorology Mixture models Parameter estimation Phased arrays Probabilistic models Radar arrays Radar clutter Radar detection Rain Segmentation Simulation Target detection variational expectation-maximization algorithm Weather weather clutter
ISSN:	0018-9251, 1557-9603
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