一种并行处理的联合频相估计
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作者单位:

1.郑州大学体育学院,郑州,450044;2.西安邮电大学通信与信息工程学院,西安,710121

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河南省教育厅科学技术研究重点 13B520253┫资助项目 河南省教育厅科学技术研究重点(13B520253)资助项目。


Parallel Processing-Based Joint Frequency-Phase Offset Estimation
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Affiliation:

1.Physical Education College of Zhengzhou University, Zhengzhou, 450044, China;2.School of Communications and Information Engineering of Xi an University of Posts & Telecommunications, Xi an, 710121,China

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    摘要:

    在高速移动通信系统中,收发端双方往往会面临较大的多普勒扩展和有限的导频开销,从而严重影响传统联合频相估计的性能。鉴于此,本文提出了一种基于并行处理的联合频相估计。首先利用可变有效延迟长度的自相关算子设计出一种频相解耦合算法,再将其应用到传统联合频相估计中。理论分析和仿真结果表明,提出的频相解耦合算法可以实现传统联合频相估计的并行处理,同时还可以降低相偏估计的复杂度。

    Abstract:

    In high-speed mobile communication systems, there exist two prominent issues-large Doppler spread and limited pilot resource between the transmitter and receiver, which has great influence on the performance of a traditional joint frequency-phase offset estimation. In this case, this paper proposes a parallel processing-based joint frequency-phase offset estimation. First, we utilize a variable delay-length auto-correlation operator to design a frequency-phase decoupling algorithm and apply it to the traditional joint frequency-phase offset estimation. Theoretical analysis and simulation results show that the proposed frequency-phase decoupling algorithm can decouple the phase offset estimation and frequency offset estimation, and can also reduce complexity of the phase offset estimation.

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杨茜,于中阳.一种并行处理的联合频相估计[J].数据采集与处理,2019,34(6):1094-1100

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  • 收稿日期:2018-04-15
  • 最后修改日期:2018-09-05
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  • 在线发布日期: 2019-12-13