Identifiability of Training Based CFO Estimation over Frequency Selective Channels

Feifei Gao*, A. Nallanathan, Arumugam Nallanathan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

4 Citations (Scopus)

Abstract

Frequency synchronization is one of the most important issues for reliable transmission in most practical communication systems. Carrier frequency offset (CFO) must be compensated before channel estimation and coherent detection. Normally, training sequences are sent for CFO estimation and channel estimation before the data transmission. However, an improper selection of training sequences may cause failure in CFO estimation, resulting in the identifiability problem. In this paper, we present a detailed study on identifiability issue relate with data-aided CFO estimation. We firstly propose a theorem that is applicable for all training sequences. Then, the theorem is modified to deal with a popular set of training sequences that is deemed as optimal for channel estimation. Simulation results are provided to validate the proposed study.

Original languageEnglish
Title of host publication2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12
Place of PublicationNEW YORK
PublisherIEEE
Pages1421-1426
Number of pages6
Publication statusPublished - 2006
EventIEEE International Conference on Communications (ICC 2006) - Istanbul, Turkey
Duration: 11 Jun 200615 Jun 2006

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications (ICC 2006)
Country/TerritoryTurkey
Period11/06/200615/06/2006

Keywords

  • OFDM SYSTEMS
  • TRANSMISSIONS

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