Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection
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- 作者：David de la Mata-Moya david.mata@uah.es" class="auth_mail" title="E-mail the corresponding author ; Marí ; a Pilar Jarabo-Amores mpilar.jarabo@uah.es" class="auth_mail" title="E-mail the corresponding author ; Jaime Martí ; n de Nicolá ; s jaime.martinn@uah.es" class="auth_mail" title="E-mail the corresponding author ; Manuel Rosa-Zurera ; manuel.rosa@uah.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：C-SVM ; 2C-SVM ; Neyman&ndash ; Pearson detector
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：364-375
- 全文大小：2173 K
文摘
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A study about approximations to the Neyman–Pearson detector with SVMs is presented.
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The functions approximated by C-SVMs and 2C-SVMs after training are obtained.
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2C-SVMs can be used to approximate the optimum Neyman–Pearson detector.
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PFA control is achieved varying the Ɣ parameter of 2C-SVM and prior probabilities.
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Results with synthetic and real radar data are presented to validate the study.