A CFAR Detector Based on a Robust Combined Method With Spatial Information and Sparsity Regularization in Non-Homogeneous Weibull Clutter

A CFAR Detector Based on a Robust Combined Method With Spatial Information and Sparsity Regularization in Non-Homogeneous Weibull Clutter

In over-the-horizon radar (OTHR), atmospheric noise and sea clutter exist in different regions of Range-Doppler map. To improve the detection performance, a combined method is proposed to identify the cell-under-test (CUT) and estimate the parameters of every class of CUTs. The proposed method uses...

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Bibliographic Details
Main Authors: Yang Li, Longshan Wu, Ning Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
CFAR detection
over-the-horizon radar
parameter estimate
spatial information
sparsity regularization
competitive learning
Online Access:https://ieeexplore.ieee.org/document/8276281/

Internet

https://ieeexplore.ieee.org/document/8276281/

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