通信学报 ›› 2013, Vol. 34 ›› Issue (9): 10-15.doi: 10.3969/j.issn.1000-436x.2013.09.002

• 学术论文 • 上一篇    下一篇

非理想载波同步下OFDM快衰落信道的稀疏与感知

方勇,赵维杰,汪敏   

  1. 上海大学 通信与信息工程学院 特种光纤与光接入网重点实验室,上海 200072
  • 出版日期:2013-09-25 发布日期:2017-07-05
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目

Sparse expression and sensing of fast fading channel for OFDM systems with imperfect carrier synchronization

Yong FANG,Wei-jie ZHAO,Min WANG   

  1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks,School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China
  • Online:2013-09-25 Published:2017-07-05
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要:

针对稀疏导频 OFDM 系统,提出非理想载波同步 OFDM 快衰落信道稀疏表示与感知方法。首先提出了一种稀疏化信道核向量的广义信道冲激响应矩阵稀疏化表示方法;推导了稀疏导频快衰落信道估计压缩感知模型;利用OMP算法重构稀疏化信道核向量与广义信道冲激响应矩阵,从而完成非理想载波同步下的OFDM 快衰落信道估计。仿真结果表明,该算法能有效降低非理想载波同步的稀疏导频 OFDM 系统的误码率。

关键词: 稀疏表示, 压缩感知, 快衰落, 正交频分复用, 信道估计

Abstract:

A sparse expression of fast fading channel and its sensing method were proposed for orthogonal frequency-division multiplexing (OFDM) system of sparse pilot under the condition of imperfect carrier synchronization.First,a sparsified core vector based sparse expression of the generalized channel impulse response (G-CIR) was proposed by deriving compressed sensing model of the sparse pilot system.Then,both the sparsified core vector and G-CIR were reconstructed by orthogonal matching pursuit(OMP).Simulation results demonstrate that the proposed algorithm can effectively reduce the bit error rate (BER) of the OFDM system with imper ect carrier synchronization.

Key words: sparse expression, compressed sensing, fast fading, OFDM, channel estimation

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