DocumentCode :
2244704
Title :
Probability density functions of channel estimation for MLSE in optical communications
Author :
Lu, Li ; Lei, Jianming ; Ju, Peijian ; Lei, Yu ; Peng, Zhan ; Zou, Xuecheng
Author_Institution :
Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
13-16 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we propose an effective possibility density functions method of channel estimation with Viterbi algorithm based on transitions. We also investigate the performance of the electronic dispersion compensation schemes via this new channel estimation method. The schemes Simulation results show that it exhibits the similar performance with the sophisticated MLSE scheme.
Keywords :
channel estimation; maximum likelihood sequence estimation; optical communication; probability; MLSE scheme; Viterbi algorithm; channel estimation; electronic dispersion compensation schemes; optical communications; possibility density functions method; probability density functions; Abstracts; Histograms; Optical amplifiers; Optical signal processing; Stimulated emission; Channel Estimation; MLSE; Optical Communications; Probability Density Functions; Viterbi;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
Conference_Location :
Shanghai
ISSN :
2162-108X
Print_ISBN :
978-0-8194-8961-6
Type :
conf
DOI :
10.1117/12.904492
Filename :
6210724
Link To Document :
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