淡江大學機構典藏:Item 987654321/96114
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/96114


    Title: Iterative joint frequency offset and channel estimation for OFDM systems using first and second order approximation algorithms
    Authors: Yen, Rainfield Y;Liu, Hong-Yu;Tsai, Chia-Sheng
    Contributors: 淡江大學電機工程學系
    Keywords: Carrier frequency offset;Orthogonal Frequency Division Multiplexing (OFDM);Synchronizaion;Channel estimation;Maximum-likelihood estimation
    Date: 2012-11
    Issue Date: 2014-02-26 16:32:35 (UTC+8)
    Publisher: Heidelberg: SpringerOpen
    Abstract: To implement an algorithm for joint estimation of carrier frequency offset (CFO) and channel impulse response (CIR) in orthogonal frequency division multiplexing (OFDM) systems, the maximum-likelihood criterion is commonly adopted. A major difficulty arises from the highly nonlinear nature of the log-likelihood function which renders local extrema or multiple solutions for the CFO and CIR estimators. Use of an approximation method coupled with an adaptive iteration algorithm has been a popular approach to ease problem solving. The approximation used in those existing methods is usually of the first order level. Here, in addition to a new first order approximation method, we also propose a second order approximation method. Further, for the part of the adaptive iteration algorithm, we adopt a new technique which will enable performance improvement. Our first order approximation method is found to outperform the existing ones in terms of estimation accuracies, tracking range, computation complexity, and convergence speed. As expected, our second order approximation method provides an even further improvement at the expense of higher computation complication.
    Relation: EURASIP Journal on Wireless Communications and Networking 2012(1), 341(10pages)
    DOI: 10.1186/1687-1499-2012-341
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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