Low-Complexity Soft-ML Detection Algorithm for Modified-DCM in WiMedia UWB Systems

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概要

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• This letter proposes a low-complexity soft-detection algorithm for modified dual-carrier modulation (MDCM) in WiMedia ultra-wideband (UWB) systems. In order to reduce the complexity of soft-output maximum-likelihood detection (soft-MLD), which gives the optimal performance for MDCM symbols, the proposed algorithm utilizes the following three methods: real/imaginary separation, multiplierless distance calculation, and candidate set reduction. Through these methods, the proposed algorithm reduces the complexity of soft-MLD by 97%, while preventing the deterioration of its optimality. The performance of the proposed algorithm is demonstrated by simulations of 640-1024Mbps transmission modes of the latest Release 1.5 standard of the WiMedia UWB.

著者

• Kim Jaeseok

  Department Of Electrical And Electronic Engineering Yonsei University

• KIM Kilhwan

  Department of Electrical and Electronic Engineering, Yonsei University

• KIM Yongsuk

  Emerging SoC Development Team, System LSI Division, Samsung Electronics Co., LTD.

• KOO Jihun

  Emerging SoC Development Team, System LSI Division, Samsung Electronics Co., LTD.

• PARK Jangyong

  Department of Electrical and Electronic Engineering, Yonsei University

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• Low-Complexity Soft-ML Detection Algorithm for Modified-DCM in WiMedia UWB Systems

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