A Folded VLSI Architecture of Decision Feedback Equalizer for QAM Modem(Communication Theory and Systems)(<Special Section>Applications and Implementations of Digital Signal Processing)
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概要
- 論文の詳細を見る
In this paper, an area efficient VLSI architecture of decision feedback equalizer is derived accommodating 64/256 QAM modulators. This architecture is implemented efficiently in VLSI structure using EDA tools due to its regular structure. The method is to employ a time-multiplexed design scheme, so-called Folding, which executes multiple operation on a single functional unit [12]. In addition, we define a new folding set by grouping the adjacent filter taps with data transfer having the same processing sequence between blocks and perform the internal databit optimization. By doing so, the computational complexity is reduced by performance optimization and also silicon area is reduced by using a shared operator. Moreover, through the performance and convergence time comparison of the various LMS (e.g. LMS, data signed LMS, error signed LMS, signed-signed LMS)) coefficient updating algorithms, we identify an optimum LMS algorithm scheme suitable for the low complexity, high performance and high order (64 and 256) QAM applications for the presented Fractionally Spaced Decision Feedback Equalizer. We simulated the proposed design scheme using SYNOPSYS^<TM> and SPW^<TM>.
- 社団法人電子情報通信学会の論文
- 2004-03-01
著者
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KIM Byung
School of Bioscience and Biotechnology, and Institute of Bioscience and Biotechnology, Kangwon Natio
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Cho Jun-dong
School Of Information And Communication Sungkyunkwan University
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YU Hyeongseok
School of Information and Communication, Sungkyunkwan University
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Yu Hyeongseok
School Of Information And Communication Sungkyunkwan University
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Kim Byung
School Of Information And Communication Sungkyunkwan University
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Kim Byung
School Of Bioscience And Biotechnology And Institute Of Bioscience And Biotechnology Kangwon Nationa
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- A Folded VLSI Architecture of Decision Feedback Equalizer for QAM Modem(Communication Theory and Systems)(Applications and Implementations of Digital Signal Processing)