Presentation 2015-04-24
Radiometric Identification with a Classifier Utilizing a Liner Kernels and Its Application to the Automatic Identification System
Takashi Iwamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Wide spread of radio information systems has increased danger caused by counterfeited information. For example, the Automatic Identification System is nowadays regarded as a key part for achieving maritime awareness and allows an emitter in principle to broadcast counterfeited information, since its coding rule is published. To prevent such fraudulent devices from accessing a wireless system, radiometric identification of emitters has been developed. From a user point of view, identifiers of wide ranges of targets are preferred. In this paper, a support vector machine utilizing linear kernel functions is introduced. Experiment on identification of signals whose noise ratios are controlled over a wide range shows graceful robustness of accuracy. This method contributes directly to widen area of awareness. Furthermore, linear kernel functions allow effective identification based on hierarchical nature of Automatic Identification System signals.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Radiometric Identification of Emitters / Automatic Identification System / Support Vector Machine / Linear Kernel Function
Paper # SANE2015-5
Date of Issue 2015-04-17 (SANE)

Conference Information
Committee SANE
Conference Date 2015/4/24(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) Remote sensing, EW and general
Chair Hirobumi Saito(JAXA)
Vice Chair Sonosuke Fukushima(ENRI)
Secretary Sonosuke Fukushima(JAXA)
Assistant Kenichiro Maki(JAXA) / Yasushi Obata(Mitsubishi Electric)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Radiometric Identification with a Classifier Utilizing a Liner Kernels and Its Application to the Automatic Identification System
Sub Title (in English)
Keyword(1) Radiometric Identification of Emitters
Keyword(2) Automatic Identification System
Keyword(3) Support Vector Machine
Keyword(4) Linear Kernel Function
1st Author's Name Takashi Iwamoto
1st Author's Affiliation Mitsubishi Electric Corporation(Mitsubishi Electric)
Date 2015-04-24
Paper # SANE2015-5
Volume (vol) vol.115
Number (no) SANE-16
Page pp.pp.25-28(SANE),
#Pages 4
Date of Issue 2015-04-17 (SANE)