TDS-OFDM系统高效并行MAP定时恢复算法

李阳光; 包建荣; 姜斌; 刘超

doi:10.11959/j.issn.1000-0801.2018013

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TDS-OFDM系统高效并行MAP定时恢复算法

研究与开发 | 更新时间：2024-06-05

- TDS-OFDM系统高效并行MAP定时恢复算法
- Efficient parallel MAP timing recovery algorithm for TDS-OFDM systems
- 电信科学 2018年34卷第1期页码：61-71
- 作者机构：
- 作者简介：
  
  [ "李阳光（1992-），男，杭州电子科技大学硕士生，主要研究方向为通信信号处理、通信同步技术等。" ]
  [ "包建荣（1978-），男，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为空间无线通信、通信信号处理与自主无线电等。" ]
  [ "姜斌（1980-），男，杭州电子科技大学副教授，主要研究方向为空间无线通信、无线传感器网络等。" ]
  [ "刘超（1977-），男，博士，杭州电子科技大学副教授，主要研究方向为无线通信、计算机通信网等。" ]
- 基金信息：
  
  浙江省科技计划基金资助项目;Science and Technology Plan Project of Zhejiang Province(2015C31103);国家自然科学基金资助项目(61471152);浙江省自然科学基金资助项目;Natural Science Foundation of Zhejiang Province of China(LZ14F010003);杭州电子科技大学科研创新基金资助项目;The Graduate Scientific Research Foundation of Hangzhou Dianzi University(CXJJ2016032);杭州电子科技大学2017年高等教育研究资助项目;The 2017 Higher Education Research Project of Hangzhou Dianzi University(XNFz201702)
- DOI：10.11959/j.issn.1000-0801.2018013
  中图分类号： TN934.3
- 网络出版日期：2018-01，
  
  纸质出版日期：2018-01-20
- 稿件说明：
移动端阅览
李阳光, 包建荣, 姜斌, 等. TDS-OFDM系统高效并行MAP定时恢复算法[J]. 电信科学, 2018,34(1):61-71.

Yangguang LI, Jianrong BAO, Bin JIANG, et al. Efficient parallel MAP timing recovery algorithm for TDS-OFDM systems[J]. Telecommunications science, 2018, 34(1): 61-71.
李阳光, 包建荣, 姜斌, 等. TDS-OFDM系统高效并行MAP定时恢复算法[J]. 电信科学, 2018,34(1):61-71. DOI： 10.11959/j.issn.1000-0801.2018013.

Yangguang LI, Jianrong BAO, Bin JIANG, et al. Efficient parallel MAP timing recovery algorithm for TDS-OFDM systems[J]. Telecommunications science, 2018, 34(1): 61-71. DOI： 10.11959/j.issn.1000-0801.2018013.

摘要

针对 5G 通信无线多媒体传输时域同步—正交频分复用（TDS-OFDM）系统中的符号定时恢复处理慢、性能距离理论界较大等问题，提出了一种并行MAP定时恢复算法。它通过拉格朗日插值，能较好地提取最佳采样点幅度与极性变化信息，检测定时误差。而且该算法采用了高效并行的最大后验概率（MAP）准则，高速完成定时误差估计。仿真表明，与现有MM算法、Gardner算法等相比，该算法估计精度较高，结果逼近MAP定时恢复算法，差距约2 dB。

Abstract

According to the problems of the existing timing recovery algorithm with the time-domain orthogonal frequency division multiplexing (TDS-OFDM) modulation in the wireless multimedia transmissions of 5G communications

such as slow processing speed and big theoretical distance

a parallel MAP timing recovery algorithm was proposed.Specifically

the Lagrangian interpolation was used and the amplitude and polarity change of the optimal sampling points were extracted to detect the timing error efficiently.Meanwhile

with the parallel maximum a posteriori (MAP) criterion

the timing error estimate was obtained at high speed.The simulation results show that the accuracy of the proposed algorithm is improved

when comparing with the existing MM algorithm

Gardner algorithm and others.The estimation result is very close to the MAP timing recovery algorithm

the difference is about 2 dB.

关键词

Keywords

references

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