Presentation 2005-07-21
Maximum Likelihood Detection with Blind Linear Prediction for Mobile Radio Communication Systems with Differential Space-Time Block Code
Wanichpakdeedecha SEREE, Kazuhiko FUKAWA, Hiroshi SUZUKI, Satoshi SUYAMA,
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Abstract(in English) This report proposes a maximum likelihood detection (MLD) method with blind linear prediction (BLP) for the differential space-time block code (DSTBC) suitable for fast frequency-flat fading channels. The method, which performs the linear prediction of the fading complex envelope, determines the linear prediction coefficients by the method of Lagrange multipliers, and does not require information on training sequences nor channel parameters such as the maximum Doppler frequency in contrast with conventional ones. Thus, the proposed method can perform practical signal detection of DSTBC without training sequences, which also results in higher transmission efficiency. Computer simulations under a fast fading condition demonstrate that the proposed method with proper degree of polynomial approximation can be superior in BER performance to a conventional method that estimates the coefficients by the RLS algorithm with information on a training sequence.
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Keyword(in English) MLD / DSTBC / blind signal detection / linear prediction / the method of Lagrange multipliers
Paper # RCS2005-46
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Committee RCS
Conference Date 2005/7/14(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Maximum Likelihood Detection with Blind Linear Prediction for Mobile Radio Communication Systems with Differential Space-Time Block Code
Sub Title (in English)
Keyword(1) MLD
Keyword(2) DSTBC
Keyword(3) blind signal detection
Keyword(4) linear prediction
Keyword(5) the method of Lagrange multipliers
1st Author's Name Wanichpakdeedecha SEREE
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Kazuhiko FUKAWA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Hiroshi SUZUKI
3rd Author's Affiliation Tokyo Institute of Technology
4th Author's Name Satoshi SUYAMA
4th Author's Affiliation Tokyo Institute of Technology
Date 2005-07-21
Paper # RCS2005-46
Volume (vol) vol.105
Number (no) 196
Page pp.pp.-
#Pages 6
Date of Issue