Training sequence inserted single-carrier transmission using 2-step QRM-ML block signal detection

Katsuhiro Temma, Tetsuya Yamamoto, Fumiyuki Adachi

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

Abstract

Near maximum likelihood block signal detection using QR decomposition and M-algorithm (QRM-MLBD) can improve a bit error rate (BER) performance of cyclic prefix inserted single-carrier (CP-SC) transmissions. However, it requires a fairly large number M of surviving paths in the M-algorithm and leads to very high computational complexity. Replacing the CP by training sequence (TS) was shown to reduce the number of M. Another approach to reduce the complexity of QRM-MLBD is to modify the tree structure constructed by QR decomposition for ML detection. Recently, we proposed a 2-step QRM-MLBD which prunes unreliable symbol candidates before tree search by using the minimum mean square error based frequency-domain equalization (MMSE-FDE) output. In this paper, we apply the 2-step QRM-MLBD to TS inserted SC (TS-SC) transmission in order to further reduce the complexity of QRM-MLBD. We show by computer simulation that 2-step QRM-MLBD can reduce the complexity compared to conventional QRM-MLBD while keeping almost the same BER performance.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Communication Systems, ICCS 2012
Pages498-502
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Communication Systems, ICCS 2012 - Singapore, Singapore
Duration: 2012 Nov 212012 Nov 23

Publication series

Name2012 IEEE International Conference on Communication Systems, ICCS 2012

Other

Other2012 IEEE International Conference on Communication Systems, ICCS 2012
CountrySingapore
CitySingapore
Period12/11/2112/11/23

Keywords

  • M-algorithm
  • MMSE-FDE
  • QR decomposition
  • Single-carrier
  • near maximum likelihood detection
  • training sequence

ASJC Scopus subject areas

  • Computer Networks and Communications

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