中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (5): 1-8.doi: 10.1016/S1005-8885(14)60323-X

• Wireless •    下一篇

Parametric channel modeling based OFDM channel estimation

卿浩博,刘元安,谢刚,刘凯明,刘芳   

  1. 北京邮电大学
  • 收稿日期:2014-01-13 修回日期:2014-05-09 出版日期:2014-10-31 发布日期:2014-10-30
  • 通讯作者: 卿浩博 E-mail:qinghaobo@gmail.com
  • 基金资助:

    自然科学基金;自然科学基金;国家科技重大专项;中加国际科学与技术合作项目;国家重点基础研究发展计划(973计划)

Parametric channel modeling based OFDM channel estimation

  • Received:2014-01-13 Revised:2014-05-09 Online:2014-10-31 Published:2014-10-30
  • Supported by:

    ;National Science and Technology Major Project;973 Program

摘要:

 A simplified parametric channel estimation approach was proposed for orthogonal frequency division multiplexing (OFDM) systems. Based on parametric channel model, this algorithm is composed of two parts: the estimation of channel parameters and channel interpolation. The exponentially embedded family (EEF) criterion is exploited to determine the number of channel paths as well as the multipath time delays. Consequently, the channel frequency responses is acquired via the estimated parameters. Additionally, the authors’ scheme is computationally efficient owing to the needless of the eigenvalue decomposition or the estimation of signal parameters by the rotational invariance technique (ESPRIT). Simulations are provided to validate the performance of this algorithm from perspectives of the probability of correct estimation and the mean square error (MSE). It is demonstrated that this approach exhibits a superior performance over the existing algorithms.

关键词:

channel estimation, OFDM, mean square error, EEF criterion

Abstract:

 A simplified parametric channel estimation approach was proposed for orthogonal frequency division multiplexing (OFDM) systems. Based on parametric channel model, this algorithm is composed of two parts: the estimation of channel parameters and channel interpolation. The exponentially embedded family (EEF) criterion is exploited to determine the number of channel paths as well as the multipath time delays. Consequently, the channel frequency responses is acquired via the estimated parameters. Additionally, the authors’ scheme is computationally efficient owing to the needless of the eigenvalue decomposition or the estimation of signal parameters by the rotational invariance technique (ESPRIT). Simulations are provided to validate the performance of this algorithm from perspectives of the probability of correct estimation and the mean square error (MSE). It is demonstrated that this approach exhibits a superior performance over the existing algorithms.

Key words:

channel estimation, OFDM, mean square error, EEF criterion