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A Diagonally Weighted Space-Time Block Code OFDM with Channel Estimation

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39792

Title: A Diagonally Weighted Space-Time Block Code OFDM with Channel Estimation
Authors: Lin, Shin-Yung Browse this author
Hsieh, Shih-Fu Browse this author
Li, Ko-Chiang Browse this author
Keywords: space-time code
OFDM
channel estimation
Issue Date: 4-Oct-2009
Publisher: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
Journal Title: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
Start Page: 700
End Page: 703
Abstract: We focus on space-time block code (STBC) OFDM system with four transmit antennas. A block diagonal (BD) non-orthogonal STBC is proposed for full-rate transmission of complex data. To estimate the channel response, a BD STBC matrix has to be nonsingular for all possible transmitted BD STBC data matrices. A diagonal weighting constant is proposed to assure the nonsingularity. A phase-direct technique can be used to further improve the subspace-based semi-blind channel estimation. From computer simulation the proposed channel estimation is shown to be effective and we can also see that a large weighting constant improves channel estimation at the cost of a degraded bit error rate.
Description: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Signal Processing and Implementations in Communications (6 October 2009).
Conference Name: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議
Conference Place: Sapporo
Type: proceedings
URI: http://hdl.handle.net/2115/39792
Appears in Collections:北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

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