Almost jitter-free feedforward symbol timing recovery for GMSK modulations

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2 Citations (Scopus)

Abstract

A novel nondata-aided feedforward symbol timing estimator was recently proposed by Morelli and Vitetta for minimum-shift keying (MSK) modulations in [4]. This estimator represents an approximate maximum likelihood (ML) method, and at low signal-to-noise ratios (SNRs) it approaches the Cramer-Rao bound (CRB). However, at medium and high SNRs, the performance of this estimator is far from CRB especially for partial response modulations. In this paper, a new prefilter is proposed to improve the medium and high SNR performance of this estimator by reducing its self-noise (jitter) and without compromising its good low SNR performance. An improved version of the timing recovery scheme introduced by Wu and Ng for GMSK modulations [9] is also proposed. Computer simulations are shown to illustrate the merits of the proposed prefilter based timing recovery schemes.

Original languageEnglish
Pages (from-to)1113-1117
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
Publication statusPublished - 2003
Externally publishedYes

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Jitter
Signal to noise ratio
Modulation
Recovery
Cramer-Rao bounds
Maximum likelihood
Computer simulation

ASJC Scopus subject areas

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

Cite this

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title = "Almost jitter-free feedforward symbol timing recovery for GMSK modulations",
abstract = "A novel nondata-aided feedforward symbol timing estimator was recently proposed by Morelli and Vitetta for minimum-shift keying (MSK) modulations in [4]. This estimator represents an approximate maximum likelihood (ML) method, and at low signal-to-noise ratios (SNRs) it approaches the Cramer-Rao bound (CRB). However, at medium and high SNRs, the performance of this estimator is far from CRB especially for partial response modulations. In this paper, a new prefilter is proposed to improve the medium and high SNR performance of this estimator by reducing its self-noise (jitter) and without compromising its good low SNR performance. An improved version of the timing recovery scheme introduced by Wu and Ng for GMSK modulations [9] is also proposed. Computer simulations are shown to illustrate the merits of the proposed prefilter based timing recovery schemes.",
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