Shuai Zhang,Shun-chang Bai,Cheng-lin Bai,Qing-long Luo,Wen-jing Fang.An improved channel estimation algorithm for CO-OFDM system and its performance analysis[J].Optoelectronics Letters,2014,10(2):140-143
An improved channel estimation algorithm for CO-OFDM system and its performance analysis
Author NameAffiliationE-mail
Shuai Zhang Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng, 252059, China

State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China 
 
Shun-chang Bai School of Advanced Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China  
Cheng-lin Bai Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng, 252059, China baichenglin@lcu.edu.cn 
Qing-long Luo Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, Liaocheng, 252059, China  
Wen-jing Fang State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China  
Abstract:
      We present an extra processing added to conventional least square (LS) channel estimation to further improve its performance in coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. The influence of noise, chromatic dispersion and polarization mode dispersion on the performance of the proposed algorithm is analyzed. The simulation results show that the improved algorithm has better performance and lower complexity.
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This work has been supported by the National Natural Science Foundation of China (No.61047033), the Natural Science Foundation of Shan dong Province in China (No.ZR2010FM043) and the State Key Laboratory of Advanced Optical Communication Systems and Networks (No.2011GZKF031109).
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