Blind fractionally spaced equalization of noisy FIR channels: Direct and adaptive solutions

Georgios B. Giannakis, Steven D. Halford

Research output: Contribution to journalArticlepeer-review

88 Scopus citations

Abstract

Blind fractionally spaced equalizers reduce inter-symbol interference using second-order statistics without the need for training sequences. Methods for finding FIR zero-forcing blind equalizers directly from the observations are described, and adaptive versions are developed. In contrast, most current methods require channel estimation as a first step to estimating the equalizer. The direct methods can be zero-forcing, minimum mean-square error, or even minimum mean square error (MMSE) within the class of zero-forcing equalizers. Performance of the proposed methods and comparisons with existing approaches are shown for a variety of channels, including an empirically measured digital microwave channel.

Original languageEnglish (US)
Pages (from-to)2277-2292
Number of pages16
JournalIEEE Transactions on Signal Processing
Volume45
Issue number9
DOIs
StatePublished - Sep 1997

Keywords

  • Adaptive equalization
  • Cyclostationarity
  • Fractional sampling

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