Open AccessLeast squares channel estimation with noise suppression for OFDM systems
Author(s) -
Zheng Zhi,
Hao Caiyong,
Yang Xuemin
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.2678
Subject(s) - orthogonal frequency division multiplexing , channel (broadcasting) , noise (video) , least squares function approximation , computer science , electronic engineering , control theory (sociology) , algorithm , mathematics , engineering , telecommunications , statistics , artificial intelligence , control (management) , estimator , image (mathematics)
A novel least‐squares (LSs) channel estimation method for OFDM systems is proposed. Compared with the conventional LS method, the proposed method employs several extra steps to suppress the noise effect. Thus, it can provide a better estimation performance than the conventional LS method. Moreover, the proposed method does not increase the occupation of frequency‐band resources and has some application value for engineering. Simulation results demonstrate the performance of this method.