Intelligent CFAR Detector Based on Support Vector Machine

Intelligent CFAR Detector Based on Support Vector Machine

In this paper, we propose an intelligent constant false alarm rate detector, which uses support vector machine (SVM) techniques to improve the radar detection performance in different background environments. The proposed detector uses the variability index statistic as a feature to train a SVM and...

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Bibliographic Details
Main Authors: Leiou Wang, Donghui Wang, Chengpeng Hao
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Constant false alarm rate
support vector machine
variability index
automatic censored cell averaging
greatest of
Online Access:https://ieeexplore.ieee.org/document/8113458/

Internet

https://ieeexplore.ieee.org/document/8113458/

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