Presentation 2007-03-05
Analysis of Bit Error Rate Using the Chaos Spreading Sequence with an Independent Component Analysis Filter
Ryo TAKAHASHI, Song-ju KIM, Ken UMENO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The signal-to-noise ratios (STRs) and the bit error rates (BERs) of K signals recovered by the Independent Component Analysis (ICA), namely passed through the ICA filter, are calculated numerically and analytically. It is found that these quantities with the ICA filter are much larger than those of the original signals although the waveforms of the signals passed through the ICA filter are almost the same as those of the original signals. Using this effect, we can generate much more useful speading sequences. The chip-synchronous systems using the spreading sequences passed through the ICA filter have the same BERs as the Walsh-Hadamard sequences. Furthermore these sequences can be generated with any code length.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) independent component analysis / code division multiple access / bit error rate / spreading sequence / chaos / signal-to-noise ratio / interference noise
Paper # NLP2006-142
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Conference Information
Committee NLP
Conference Date 2007/2/26(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Bit Error Rate Using the Chaos Spreading Sequence with an Independent Component Analysis Filter
Sub Title (in English)
Keyword(1) independent component analysis
Keyword(2) code division multiple access
Keyword(3) bit error rate
Keyword(4) spreading sequence
Keyword(5) chaos
Keyword(6) signal-to-noise ratio
Keyword(7) interference noise
1st Author's Name Ryo TAKAHASHI
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Song-ju KIM
2nd Author's Affiliation National Institute of Information and Communications Technology
3rd Author's Name Ken UMENO
3rd Author's Affiliation National Institute of Information and Communications Technology
Date 2007-03-05
Paper # NLP2006-142
Volume (vol) vol.106
Number (no) 573
Page pp.pp.-
#Pages 6
Date of Issue