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基于数据相关叠加训练序列的载波频偏与信道联合估计

凌琪琪 罗志年

计算机工程2017,Vol.43Issue(9):138-143,6.
计算机工程2017,Vol.43Issue(9):138-143,6.DOI:10.3969/j.issn.1000-3428.2017.09.025

基于数据相关叠加训练序列的载波频偏与信道联合估计

Joint Estimation of Carrier Frequency Offset and Channel Based on Data Dependent Superimposed Training Sequence

凌琪琪 1罗志年1

作者信息

  • 1. 湖南大学信息科学与工程学院,长沙410082
  • 折叠

摘要

Abstract

Focusing on the sensitivity to carrier frequency offset in the Orthogonal Frequency Division Multiplexing (OFDM) system,a joint estimation algorithm of carrier frequency offset and channel is proposed in this paper.The frequency offset is estimated through the phase difference between two adjacent OFDM symbols,and the accuracy of estimation is improved by an iteration algorithm.Meanwhile,referring the characteristics of Data Dependent Superimposed Training(DDST) at the frequncy domain are used to estimate two consecutive OFDM channels,and the Basis Expansion Model(BEM) fitting channel is employed to improve the estimation performance.The simulation results show that the proposed algorithm can robustly estimate the carrier frequency offset and channel without increasing system complexity and sacrificing the bandwidth.

关键词

正交频分复用/数据相关叠加训练序列/频偏估计/基扩展模型/信道估计

Key words

Orthogonal Frequency Division Multiplexing (OFDM)/Data Dependent Superimposed Training (DDST) sequence/frequency offset estimation/Basis Expansion Model (BEM)/channel estimation

分类

信息技术与安全科学

引用本文复制引用

凌琪琪,罗志年..基于数据相关叠加训练序列的载波频偏与信道联合估计[J].计算机工程,2017,43(9):138-143,6.

基金项目

国家自然科学基金(61371115). (61371115)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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