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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2012-07-17
Nonlinear Subprofile Space for Radar HRRP Recognition
By
Daiying Zhou,

    Dr. Daiying Zhou

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Xiaofeng Shen,

    Dr. Xiaofeng Shen

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Yangyang Liu

    Dr. Yangyang Liu

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 33, 91-100, 2012
doi:10.2528/PIERL12052302 | Google Scholar

Abstract
In this paper, a novel approach, namely nonlinear subprofile space (NSS), is proposed for radar target recognition using high-resolution range profile (HRRP). First, the HRRP samples are mapped into a high-dimensional feature space using nonlinear mapping. Second, the nonlinear features, namely nonlinear subprofiles, are extracted by nonlinear discriminant analysis. Then, for each class, the nonlinear subprofile space is formed using all the training nonlinear subprofiles of class. Finally, the minimum hyperplane distance classifier (MHDC) is used for classification. The aim of NSS method is to represent the feature area of target using nonlinear subprofile space, and effectively measure the distance between the test HRRP and feature area via minimum hyperplane distance (MHD) metric. The experimental results of measured data show that the proposed method has better performance of recognition than KPCA and KFDA.
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Citation
Daiying Zhou, Xiaofeng Shen, and Yangyang Liu, "Nonlinear Subprofile Space for Radar HRRP Recognition," Progress In Electromagnetics Research Letters, Vol. 33, 91-100, 2012.
doi:10.2528/PIERL12052302
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