Research on Radar Emitters Classification with Fuzzy Support Vector Machines

In this paper, a novel method based on kernel principle component analysis is proposed to extract features of radar emitter signals image of Choi-Williams distribution. Then these discriminative and low dimensional features obtained were fed to the classifier designed for different radar LFM signals...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Meng Yafeng, Ren Mingqiu, Cai Jinyan, Han Chunhui
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	classification Feature extraction FSVM Image analysis Information technology Kernel Radar applications Radar detection Radar imaging radar signal Support vector machine classification Support vector machines Time frequency analysis time-frequency transforms
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