ML-based estimator for integer frequency offset estimation of OFDM systems

被引:0
|
作者
Chen, C [1 ]
Li, JD [1 ]
Zhao, LJ [1 ]
Niu, J [1 ]
机构
[1] Xidian Univ, State Key Lab ISN, Inst Informat Sci, Broadband Wireless Commun Lab, Xian 710071, Peoples R China
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A novel estimator for integer frequency offset estimation of OFDM systems is derived, which is based on maximum likelihood (ML) technique and exploits the differential information between two consecutive blocks of OFDM data symbols in frequency domain. The reason why the ML estimator has better performance than the conventional method is analyzed. How to select the differential sequence is also studied. By computer simulations, the Performance of the ML estimator is compared with that of the conventional method for the additive white Gaussian noise (AWGN) channel and multipath fading channel. The simulation results are in good agreement with the analytical study.
引用
收藏
页码:27 / 30
页数:4
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