Multi-phase optimal sequences for fast initialization of channel estimation and equalization

John C L Ng, Khaled Letaief, R. D. Murch

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

1 Citation (Scopus)

Abstract

Adaptive equalization is a technique commonly used for correcting the multipath intersymbol interference (ISI) caused by frequency selective fading. For most equalization schemes, channel estimation is required. However, fast start-up channel estimation is needed to ensure quick equalizer convergence. As result, there has been much interest in finding fast channel estimation techniques which are based on non-iterative channel sounding methods. To obtain the best estimation performance, certain optimal sequences are required. Generally, it is difficult to construct optimal sequences with binary symbols because the optimal sequence length grows very rapidly as the channel impulse response length increases. In this paper, we propose a sequence construction method for sounding sequences consisting of complex symbols with constant amplitude and multiple phases. The advantage of using complex symbols is that an optimal sequence can always be constructed with a minimum sequence length. Our construction method generates new complex optimal sequences which are aperiodic in addition to the periodic sequences previously known.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherIEEE
Pages1484-1487
Number of pages4
Volume3
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3) - Montreal, Can
Duration: 8 Jun 199712 Jun 1997

Other

OtherProceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3)
CityMontreal, Can
Period8/6/9712/6/97

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ng, J. C. L., Letaief, K., & Murch, R. D. (1997). Multi-phase optimal sequences for fast initialization of channel estimation and equalization. In IEEE International Conference on Communications (Vol. 3, pp. 1484-1487). IEEE.