Timing phase offset recovery based on dispersion minimization

Wonzoo Chung, William A. Sethares, C. Richard Johnson

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a blind timing phase offset recovery scheme that attempts to optimize the baud spaced equalizer output mean square error (MSE) for a realistic equalizer length that is usually shorter than the ideal length. Among the existing blind timing recovery schemes, few are designed for equalizer output MSE optimization, and none are designed for the realistic case when the equalizer is short. The proposed algorithm (that is based on a cost function that minimizes the dispersion of the received signal) attempts to minimize the MSE of a one-tap equalizer output. It also exhibits good performance for relatively short equalizers. Conditions for the unimodality of the dispersion minimization cost are investigated, and a geometric relationship to the minimum MSE (MMSE) timing offset is shown qualitatively. The detailed MSE performance of the algorithm is investigated for the representing classes of channels by comparing existing blind timing offset estimation schemes.

Original languageEnglish
Pages (from-to)1097-1109
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume53
Issue number3
DOIs
Publication statusPublished - 2005 Mar 1
Externally publishedYes

Fingerprint

Equalizers
Recovery
Mean square error
Cost functions
Costs

Keywords

  • Adaptive blind synchronization
  • MMSE timing offset
  • Timing offset recovery

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

Timing phase offset recovery based on dispersion minimization. / Chung, Wonzoo; Sethares, William A.; Johnson, C. Richard.

In: IEEE Transactions on Signal Processing, Vol. 53, No. 3, 01.03.2005, p. 1097-1109.

Research output: Contribution to journalArticle

Chung, Wonzoo ; Sethares, William A. ; Johnson, C. Richard. / Timing phase offset recovery based on dispersion minimization. In: IEEE Transactions on Signal Processing. 2005 ; Vol. 53, No. 3. pp. 1097-1109.
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