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利用ZC序列的OFDM同步及稀疏信道估计
引用本文:孙虎.利用ZC序列的OFDM同步及稀疏信道估计[J].电子科技,2013,26(11):47-50,54.
作者姓名:孙虎
作者单位:(西安电子科技大学 电子工程学院,陕西 西安 710071)
摘    要:利用ZC序列构造了新导频符号,能够在时域兼具完成OFDM符号定时同步,频偏估计及稀疏信道估计。符号定时同步无需本地序列,频偏估计在时域完成不需要进行FFT,稀疏信道估计则选取优化的由ZC序列形成的感知矩阵对时域信道进行感知,并以OMP算法重构。仿真结果表明,新方法能在时域以较高的精度完成同步和稀疏信道估计。

关 键 词:正交频分复用  同步  稀疏信道估计  恒包络零相关序列  压缩感知  正交匹配追踪  

OFDM Synchronization and Sparse Channel Estimation by Using ZC Sequences
SUN Hu.OFDM Synchronization and Sparse Channel Estimation by Using ZC Sequences[J].Electronic Science and Technology,2013,26(11):47-50,54.
Authors:SUN Hu
Affiliation:(School of Electronic Engineering,Xidian University,Xi'an 710071,China)
Abstract:A new pilot with the ZC sequences is designed for the OFDM system to achieve the symbol timing synchronization, the frequency offset estimation and the sparse channel estimation in the time domain. The symbol timing synchronization is performed without local sequences. The frequency offset estimation is completed without FFT. In the sparse channel estimation, a Compressed Sensing (CS) matrix formed by the ZC sequences is opti- mized, and the sparse channel in the time domain can be sensed by the CS matrix optimized and reconstructed via Orthogonal Matching Pursuit (OMP) algorithm. Simulation results show that the new pilot can fulfill the synchroniza- tion and sparse channel estimation in the time domain precisely.
Keywords:OFDM  synchronization  sparse channel estimation  ZC  compressed sensing  OMP
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