Paper Info

Title | ||
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Fine Frequency Offset Estimation for Frequency-Selective Channels |

Abstract | ||
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In this paper we address the problem of frequency offset estimation from non-periodic training sequences used in packet transmission over frequency-selective channels and additive white Gaussian noise. Based on polynomial approximations of the sin and cos terms in the joint likelihood function, we obtain closed-form expressions of the maximum-likelihood estimate of the frequency offset using standard optimization techniques. We show that, for small frequency offsets, the proposed solutions outperform conventional methods that use large size fast Fourier transforms (FFT). In addition, they can be used with small size FFT's to cover a larger estimation range |

Year | DOI | Venue |
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2006 | 10.1109/VETECS.2006.1683173 | VTC Spring |

Keywords | DocType | Volume |

fine frequency offset estimation,polynomial approximations,awgn channels,approximation theory,frequency estimation,maximum likelihood estimation,optimization techniques,frequency-selective channels,maximum-likelihood estimation,fft,additive white gaussian noise,packet transmission,nonperiodic training sequences,polynomials,fast fourier transforms,channel estimation,awgn,wireless communication,fast fourier transform,closed form solution,fading,likelihood function,frequency offset,maximum likelihood estimate | Conference | 4 |

ISSN | ISBN | Citations |

1550-2252 E-ISBN : 0-7803-9392-9 | 0-7803-9392-9 | 2 |

PageRank | References | Authors |

0.42 | 3 | 1 |

Authors (1 rows)

Cited by (2 rows)

References (3 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Ayman Abdel-samad | 1 | 40 | 3.27 |