Channel estimation assisted improved timing offset estimation

Hlaing Minn, Vijay K. Bhargava, Khaled Letaief

Research output: Contribution to journalArticle

7 Citations (Scopus)


This paper presents a training signal based improved timing offset estimation method in frequency selective fading channels. A coarse timing offset estimate is first obtained by maximizing a normalized correlation metric. A coarse frequency offset estimate is similarly obtained by a correlation metric. Then a sliding observation vector based maximum likelihood approach (SOV-ML) for joint timing and frequency offset estimation is applied. This SOV-ML requires the knowledge of channel impulse response (CIR). The CIR estimate is usually affected by the coarse timing and frequency offset estimates. The key requirement for SOV-ML is to obtain a CIR estimate which is not affected (or minimally affected) by the coarse timing and frequency offsets. This paper addresses how to obtain this CIR estimate and presents how this channel estimation assists in improving the timing offset estimation. A way of complexity reduction by an adaptive scheme is also presented.

Original languageEnglish
Pages (from-to)988-992
Number of pages5
JournalIEEE International Conference on Communications
Publication statusPublished - 2004
Externally publishedYes


ASJC Scopus subject areas

  • Media Technology

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