西安电子科技大学学报

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LTE多用户上行链路符号定时估计迭代算法

闪硕1,2;宫丰奎1;张航2   

  1. (1. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安 710071;
    2. 通信网信息传输与分发技术重点实验室,河北 石家庄 050081)
  • 收稿日期:2017-03-07 出版日期:2018-02-20 发布日期:2018-03-23
  • 通讯作者: 宫丰奎(1979-),男,教授,博士,E-mail:fkgong@xidian.edu.cn
  • 作者简介:闪硕(1992-),男,西安电子科技大学硕士研究生,E-mail: shining_shuo@163.com.
  • 基金资助:

    国家863计划资助项目(2014AA01A704);国家自然科学基金资助项目(61372067);通信网信息传输与分发技术重点实验室开放课题资助项目(KX162600027)

Symbol timing estimation iterative algorithm in the LTE multiuser uplink

SHAN Shuo1,2;GONG Fengkui1;ZHANG Hang2   

  1. (1. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China;
    2. Science and Technology on Communication Networks Lab., Shijiazhuang 050081, China)
  • Received:2017-03-07 Online:2018-02-20 Published:2018-03-23

摘要:

为了解决长期演进系统上行链路在多用户异步情况下符号定时估计精度差、复杂度高的问题,针对其常用的集中式子载波映射方式,提出了一种基于分块迭代相关的符号定时估计新算法.首先通过导频选择筛选出最合适的导频符号,接着对选出的导频进行分段相关和定时估计,然后利用第1次估计值对接收导频进行频域修正,最后进行算法迭代并得到最终定时估计值.仿真结果表明,与传统的第一径搜索算法和循环前缀滑动窗算法相比,所提出的算法将估计性能提高了20%~40%,并降低了实现复杂度.

关键词: 长期演进, 单载波频分多址, 符号定时估计, 迭代相关, 多用户

Abstract:

In order to solve the problem of low accuracy and high complexity of symbol timing estimation in multi-user Long Term Evolution systems, a novel symbol timing estimation algorithmbased on block iteration correlationis proposedfor thewidely-usedlocalized subcarrier mapping.First, the most suitable pilot symbolis selected by pilot selection. Second, the segmented correlation and timing estimation are performed on the selected pilot. Third, the frequency domain correction is performed on the received pilot by using the first estimate. Finally, the algorithm is iterated and the final timing estimate is obtained.Simulation results show that,compared with the traditional first-pass search algorithm and cyclic prefix based time synchronization,the proposed algorithm improves the estimated performance by 20%~40% and reduces the implementation complexity.

Key words: long term evolution, single carrier frequency division multiple-access, symbol timing estimation, iterative correlation, multi-user