NDLI: Nonparametric weighted MMC feature extraction method for HRRP recognition

Content Provider	IEEE Xplore Digital Library
Author	Li Bin Li Hui
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China (Li Bin; Li Hui)
Abstract	To improve the class separability and storage efficiency for radar target high resolution range profile (HRRP) recognition task, some linear discriminant analysis (LDA) based feature extraction methods have been successfully applied. However, as an effective feature extraction method, traditional LDA encounters four main drawbacks with respect to Gaussian distribution assumption, small sample size problem, limited classes and boundary sample problem, especially, when it is applied in HRRP recognition field. In this paper, a nonparametric weighted maximum margin criterion (NWMMC) is proposed. Compared to the parametric form of other LDA based methods, NWMMC can find the discriminant direction without assuming the data follow the Gaussian distribution. Meanwhile it defines a new criterion to measure the class separability which can solve the small sample size problem and it provides weight to samples near the boundary which tends to increase the class separability. The HRRPs of experiment were obtained from the scattering center model of four different targets. Simulations were presented to evaluate the recognition performance with this method.
Starting Page	105
Ending Page	109
File Size	178309
Page Count	5
File Format	PDF
ISBN	9781479965687
e-ISBN	9781479965694
DOI	10.1109/ICCP.2014.6936987
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-04
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dimensionality reduction LDA-based feature extraction method Scattering Radar Gaussian distribution Feature extraction HRRP Vectors Equations Principal component analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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