Optimal blind nonlinear least-squares carrier phase and frequency offset estimation for burst QAM modulations

Yan Wang, Erchin Serpedin, Philippe Ciblat

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper introduces a novel family of blind feedforward nonlinear least-squares (NLS) estimators for joint estimation of the carrier phase and frequency offset of quadrature amplitude modulations (QAM). An optimal or "matched" nonlinear estimator that exhibits the smallest asymptotic variance within the family of envisaged NLS-estimators is developed. A class of computationally efficient monomial estimators is also proposed. The asymptotic performance of these estimators is established in closed-form expression and compared with the Cramèr-Rao lower bound corresponding to an unmodulated carrier. Finally, computer simulations are presented to corroborate the theoretical performance analysis.

Original languageEnglish
Pages (from-to)1499-1503
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 2001
Externally publishedYes

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Quadrature amplitude modulation
Modulation
Computer simulation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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abstract = "This paper introduces a novel family of blind feedforward nonlinear least-squares (NLS) estimators for joint estimation of the carrier phase and frequency offset of quadrature amplitude modulations (QAM). An optimal or {"}matched{"} nonlinear estimator that exhibits the smallest asymptotic variance within the family of envisaged NLS-estimators is developed. A class of computationally efficient monomial estimators is also proposed. The asymptotic performance of these estimators is established in closed-form expression and compared with the Cram{\`e}r-Rao lower bound corresponding to an unmodulated carrier. Finally, computer simulations are presented to corroborate the theoretical performance analysis.",
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