Kernel PCA feature extraction and the SVM classification algorithm for multiple-status, through-wall, human being detection

Kernel PCA feature extraction and the SVM classification algorithm for multiple-status, through-wall, human being detection

Abstract Ultra-wideband (UWB) radar with strong anti-jamming performance and high-range resolution can be used to separate multiple human targets in a complex environment. In recent years, through-wall human being detection with UWB radar has become relatively sophisticated. In this paper, the metho...

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Bibliographic Details
Main Authors: Wei Wang, Min Zhang, Dan Wang, Yu Jiang
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Kernel principal component analysis
Support vector machines
Feature extraction
Classification
Online Access:http://link.springer.com/article/10.1186/s13638-017-0931-2

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