Presentation 2014-05-27
Effectiveness of Gabor Division Spread Spectrum System and its Design and Implementation
Hiroki KATO, Hisashi WATANABE, Mikio HASEGAWA,
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Abstract(in English) Gabor Division/Spread Spectrum System (GD/SSS) has been proposed by extending spread spectrum system using the codes in both of time domain and frequency domain. Such two-dimensional spreading, realizes robust communication systems against the noises and the interferences. In this paper, we optimize the two-dimensional spreading codes to improve the performance of the GD/SSS. Our simulation results show that the proposed codes have better performance than OFCDM. In order to verify the effectiveness of such proposed schemes, we implement the GD/SSS using the software defined radio technology and evaluate BER performance using the implemented systems. By our experiments, we confirm that our implemented GD/SSS works correctly and it is clarified that GD/SSS improves the BER lower than the conventional CDMA.
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Keyword(in English) GD/SSS / Spread Spectrum / Spreading Codes / Software Defined Radio / Chaotic CDMA
Paper # NLP2014-18
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Committee NLP
Conference Date 2014/5/19(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness of Gabor Division Spread Spectrum System and its Design and Implementation
Sub Title (in English)
Keyword(1) GD/SSS
Keyword(2) Spread Spectrum
Keyword(3) Spreading Codes
Keyword(4) Software Defined Radio
Keyword(5) Chaotic CDMA
1st Author's Name Hiroki KATO
1st Author's Affiliation Department of Electrical Engineering, Faculy of Engineering, Tokyo University of Science()
2nd Author's Name Hisashi WATANABE
2nd Author's Affiliation Department of Electrical Engineering, Faculy of Engineering, Tokyo University of Science
3rd Author's Name Mikio HASEGAWA
3rd Author's Affiliation Department of Electrical Engineering, Faculy of Engineering, Tokyo University of Science
Date 2014-05-27
Paper # NLP2014-18
Volume (vol) vol.114
Number (no) 55
Page pp.pp.-
#Pages 4
Date of Issue