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A sequential Monte Carlo algorithm for blind timing recovery and data detection

  • University of A Coruna

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

2 Scopus citations

Abstract

Synchronization algorithms play a vital role in digital transmission. Optimal estimation of the typical synchronization parameters (timing, carrier frequency offset and carrier phase offset) is analytically intractable in most practical cases and, consequently, most existing synchronization methods are either heuristic or based on approximate Maximum Likelihood (ML) arguments. In this paper, we introduce a novel blind algorithm for asymptotically optimal timing recovery and data detection. The method is derived within a Bayesian estimation framework, it does not require the transmission of pilot symbols (hence the term "blind") and is implemented via the Sequential Monte Carlo (SMC) methodology. SMC techniques are simulation-based methods that have recently gained popularity because they provide an excellent tool for solving a wide range of estimation problems which do not admit analytical solutions.

Original languageEnglish
Title of host publication2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages580-584
Number of pages5
ISBN (Electronic)078037858X
DOIs
StatePublished - 2004
Event4th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2003 - Rome, Italy
Duration: Jun 15 2003Jun 18 2003

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2004-January

Conference

Conference4th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2003
Country/TerritoryItaly
CityRome
Period06/15/0306/18/03

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