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Dynamic Nodes Selection Based Cooperative Frequency Offset Estimation Algorithm

机译:基于动态节点选择的协同频偏估计算法

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摘要

Due to great carrier frequency deviation under high speed railway environment (HSRE), the existing estimation algorithms perform ineffectively in terms of complexity and the estimation accuracy. In this paper, dynamic nodes selection strategy is proposed to achieve diversity gains in cooperative frequency offset estimation. This paper presents a weighted frequency offset estimation model for each receiver. The model not only allows for the weight of SINR but includes the weight of strong path signal. Monte-Carlo method is used to simulate the HSRE OFDM system. And numerical results of cooperation model are compared with conventional algorithms. Both of which verify that the cooperative estimation method is closer to the lower bound and shows better system performance in terms of bit error rate.
机译:由于高速铁路环境(HSRE)下载波频率偏差较大,因此现有的估计算法在复杂性和估计精度方面均无法有效执行。本文提出了动态节点选择策略,以实现协作频偏估计中的分集增益。本文提出了一种针对每个接收机的加权频率偏移估计模型。该模型不仅考虑了SINR的权重,还考虑了强路径信号的权重。蒙特卡罗方法用于仿真HSRE OFDM系统。并将合作模型的数值结果与常规算法进行了比较。两者都证明了协同估计方法更接近下限,并且就误码率而言表现出更好的系统性能。

著录项

  • 来源
  • 作者单位

    The Key Laboratory of Embedded Systems and Service Computing Ministry of Education, Department of Electronics and Information Engineering, Tongji University, Shanghai,China;

    The Key Laboratory of Embedded Systems and Service Computing Ministry of Education, Department of Electronics and Information Engineering, Tongji University, Shanghai,China;

    The Key Laboratory of Embedded Systems and Service Computing Ministry of Education, Department of Electronics and Information Engineering, Tongji University, Shanghai,China;

    Shanghai Research Center for Wireless Communications,Shanghai, China;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    high speed rail; frequency offset; node selection; cooperative estimation;

    机译:高速火车;频偏节点选择;合作估计;

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