Training sequence-aided single-carrier block signal detection using QRM-MLD

Tetsuya Yamamoto, Kazuki Takeda, Fumiyuki Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Recently, we proposed a frequency-domain block signal detection using maximum likelihood detection (MLD) employing QR decomposition and M-algorithm (QRM-MLD) for the cyclic prefix inserted single-carrier (CP-SC) block transmissions. However, if the number of surviving-symbol candidates is small, the achievable bit error rate (BER) performance degrades, because the probability of removing the correct symbol-candidates at early stages increases. In this paper, to solve this problem, we insert the known training sequence into each data block instead of CP. This SC transmission is called the training sequence-aided SC (TA-SC) block transmissions. We show by computer simulation that the TA-SC can achieve much better BER performance than the CP-SC if the number of surviving symbol-candidates is limited.

Original languageEnglish
Title of host publication2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
DOIs
Publication statusPublished - 2010 Aug 3
EventIEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia
Duration: 2010 Apr 182010 Apr 21

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

OtherIEEE Wireless Communications and Networking Conference 2010, WCNC 2010
CountryAustralia
CitySydney, NSW
Period10/4/1810/4/21

Keywords

  • Component
  • QRM-MLD
  • Single-carrier
  • Training sequence

ASJC Scopus subject areas

  • Engineering(all)

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