English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 60696/93562 (65%)
造访人次 : 1042960      在线人数 : 28
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/83000


    题名: Frequency tracking by method of least squares combined with channel estimation for OFDM over mobile wireless channels
    作者: Yen, Rainfield Y;Liu, Hong-Yu;Tsai, Chia-Sheng
    贡献者: 淡江大學電機工程學系
    关键词: orthogonal frequency division multiplexing (OFDM);least squares (LS) estimation;maximum-likelihood (ML) estimation;carrier frequency synchronization;channel estimation
    日期: 2012-06
    上传时间: 2013-03-13 03:33:34 (UTC+8)
    出版者: Heidelberg: SpringerOpen
    摘要: To track frequency offset and time-varying channel in orthogonal frequency division multiplexing (OFDM) systems over mobile wireless channels, a common technique is, based on one OFDM training block sample, to apply the maximum-likelihood (ML) algorithm to perform joint frequency tracking and channel estimation employing some adaptive iteration processes. The major drawback of such joint estimation techniques is the local extrema problem arising from the highly nonlinear nature of the log-likelihood function. This makes the joint estimation process very difficult and complicated, and many a time the results are not very satisfactory if the algorithm is not well designed. In this study, rather than using the ML algorithm, we shall apply the method of least squares (LS) for frequency tracking utilizing repeated OFDM training blocks. As will be seen, by using such an LS approach, the frequency offset estimation requires no channel knowledge. The channel state can be estimated separately after the LS frequency offset correction. This not only circumvents the local extrema complication, but also obviates the need for the lengthy adaptive iteration process of joint estimation thus greatly simplifies the entire estimation process. Most importantly, our technique can achieve excellent estimation performance as compared to the usual ML algorithms.
    關聯: EURASIP Journal on Wireless Communications and Networking 2012:192, 13pages
    DOI: 10.1186/1687-1499-2012-192
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    1671-7694_2012p192(13pages).pdf557KbAdobe PDF434检视/开启
    index.html0KbHTML207检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈