Complementary sequences-based channel estimation for diffuse wireless optical communications

Jun-Bo Wang; Yuan Jiao; Xiu-Xiu Xie; Ming Sheng; Xiaoyu Song; Xibin Zhao; Ming Gu; Ming Chen

doi:10.1117/1.3595856

1 July 2011 Complementary sequences-based channel estimation for diffuse wireless optical communications

Jun-Bo Wang, Yuan Jiao, Xiu-Xiu Xie, Ming Sheng, Xiaoyu Song, Xibin Zhao, Ming Gu, Ming Chen

Author Affiliations +

Funded by: 973 Program of China, National Natural Science Foundation of China, National Science and Technology Important Special Project, Research Fund of National Mobile Communications Research Laboratory, Southeast University, National Mobile Communications Research Laboratory, Southeast University, National Mobile Communications Research Laboratory Southeast University, State Key Laboratory of Integrated Services Networks, Xidian University, State Key Laboratory of Advanced Optical Communication Systems and Networks

Optical Engineering, Vol. 50, Issue 7, 075003 (July 2011). https://doi.org/10.1117/1.3595856

Abstract

Since wireless optical communication (WOC) systems can offer several potential advantages over their radio frequency counterparts, there has been a growing interest in WOC systems. Influenced by the complicated optical propagation environment, there exists diffuse propagation phenomena. In order to eliminate the effect of multipath propagation caused by diffuse reflection, much attention should be concentrated on the channel estimation in diffuse WOC systems. This paper focuses on the complementary sequences (CSs) for estimating a channel impulse response in WOC systems. Based on the "two-sided" training sequences (a preamble and a postamble sequence are included in the data frame), this paper studies the channel estimation in WOC systems. Further, a simple expression for Cramer-Rao bound (CRB) is proposed to evaluate the two-sided channel estimation errors. By minimizing the CRB, the CS-based channel estimation method is proposed. Moreover, the sequence detection performance measured by a bit error ratio is also investigated. Simulation results show that the channel estimation and sequence detection performance can be significantly improved by employing the CS-based channel estimation.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jun-Bo Wang, Yuan Jiao, Xiu-Xiu Xie, Ming Sheng, Xiaoyu Song, Xibin Zhao, Ming Gu, and Ming Chen "Complementary sequences-based channel estimation for diffuse wireless optical communications," Optical Engineering 50(7), 075003 (1 July 2011). https://doi.org/10.1117/1.3595856

Published: 1 July 2011

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