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Learning using privileged information for HRRP-based radar target recognition

IET Signal Processing(2018)

Cited 20|Views26
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Abstract
A novel machine learning method named extended support vector data description with negative examples (ESVDD-neg) is developed to classify the fast Fourier transform-magnitude feature of complex high-resolution range profile (HRRP), motivated by the problem of radar automatic target recognition. The proposed method not only inherits the close non-linear boundary advantage of support vector data de...
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Key words
fast Fourier transforms,learning (artificial intelligence),radar computing,radar signal processing,radar target recognition,signal classification
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