Low-complexity soft-ML detection algorithm for modified-DCM in WiMedia UWB systems

Kilhwan Kim, Jangyong Park, Jihun Koo, Yongsuk Kim, Jaeseok Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This letter proposes a low-complexity soft-detection algorithm for modified dual-carrier modulation (MDCM) in WiMedia ultrawideband (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 640-1024 Mbps transmission modes of the latest Release 1.5 standard of the WiMedia UWB.

Original languageEnglish
Pages (from-to)910-913
Number of pages4
JournalIEICE Transactions on Communications
VolumeE96-B
Issue number3
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

Ultra-wideband (UWB)
Maximum likelihood
Modulation
Deterioration

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Kim, Kilhwan ; Park, Jangyong ; Koo, Jihun ; Kim, Yongsuk ; Kim, Jaeseok. / Low-complexity soft-ML detection algorithm for modified-DCM in WiMedia UWB systems. In: IEICE Transactions on Communications. 2013 ; Vol. E96-B, No. 3. pp. 910-913.
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Low-complexity soft-ML detection algorithm for modified-DCM in WiMedia UWB systems. / Kim, Kilhwan; Park, Jangyong; Koo, Jihun; Kim, Yongsuk; Kim, Jaeseok.

In: IEICE Transactions on Communications, Vol. E96-B, No. 3, 01.01.2013, p. 910-913.

Research output: Contribution to journalArticle

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