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Noise insensitive sampling frequency offset estimation methods for DVB-T/H systems

Published: 15 February 2009 Publication History

Abstract

A precise estimation and compensation of SFO (Sampling Frequency Offset) is an important issue in OFDM (Orthogonal Frequency Division Multiplexing) system, because sampling frequency mismatch between the transmitter and the receiver dramatically degrades the system performance due to the loss of orthogonality between the subcarriers. However, the conventional SFO estimation method has serious performance degradation due to SNR (Signal to Noise Ratio) loss caused by the complex conjugate multiplications in time and frequency domain. Therefore, in this paper, we propose two SFO estimation methods which include noise mitigation processes to reduce the SNR loss. The proposals for SFO estimation / compensation are mainly based on DVB (Digital Video Broadcasting) system, and we verified that the proposed method has a good performance and stable operation through extensive simulation.

References

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  1. Noise insensitive sampling frequency offset estimation methods for DVB-T/H systems

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    cover image ACM Conferences
    ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
    February 2009
    704 pages
    ISBN:9781605584058
    DOI:10.1145/1516241
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 15 February 2009

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    Author Tags

    1. DVB-T/H
    2. OFDM
    3. iterative interpolation
    4. noise mitigation
    5. sampling frequency offset

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