Presentation 2011-07-28
Multiple Signal Identification Equipment Based on Cyclostationarity
Hiroki HARADA, Shunji MIURA, Hidetoshi KAYAMA,
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Abstract(in English) A cyclostationary feature detection is considered as one of major sensing techniques for a cognitive radio system due to its capabilities such as classifying co-existing signals exhibiting different cyclostationarity, relaxing assumptions on noise statistics and an asynchronous in both the time and the frequency domains. The problem of the conventional cyclostationary feature detection is that the detection probability of weak signals worsens if multiple signals with defferent received-power levels are captured simultaneously. The multiple signal identification method has been studied in order to solve such problem. This paper presents a multiple signal identification equipment which can run the conventional or the proposed multiple signal identification algorithms. By applying the proposed method, the multiple signal identification equipment can detect the presence of multiple input signals with defferent power levels and identify the co-existing signals.
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Keyword(in English) cyclostationarity-based feature detection / multiple signal identification / spectrum sharing
Paper # SR2011-27
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Conference Date 2011/7/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Multiple Signal Identification Equipment Based on Cyclostationarity
Sub Title (in English)
Keyword(1) cyclostationarity-based feature detection
Keyword(2) multiple signal identification
Keyword(3) spectrum sharing
1st Author's Name Hiroki HARADA
1st Author's Affiliation NTT DOCOMO, INC.()
2nd Author's Name Shunji MIURA
2nd Author's Affiliation NTT DOCOMO, INC.
3rd Author's Name Hidetoshi KAYAMA
3rd Author's Affiliation NTT DOCOMO, INC.
Date 2011-07-28
Paper # SR2011-27
Volume (vol) vol.111
Number (no) 162
Page pp.pp.-
#Pages 6
Date of Issue