Training sequence based channel estimation for indoor visible light communication system

Abstract

Channel estimation is a key technology in indoor wireless visible light communications (VLCs). Using the training sequence (TS), this paper investigates the channel estimation in indoor wireless visible light communications. Based on the propagation and signal modulation characteristics of visible light, a link model for the indoor wireless visible light communications is established. Using the model, three channel estimation methods, i.e., the correlation method, the least square (LS) method and the minimum mean square error (MMSE) method, are proposed. Moreover, the performances of the proposed three methods are evaluated by computer simulation. The results show that the performance of the correlation method is the worst, the LS method is suitable for higher signal to noise ratio (SNR), and the MMSE method obtains the best performance at the expense of highest complexity.

Keywords

Channel Estimation / Minimum Mean Square Error / Training Sequence / Channel Impulse Response / Visible Light Communication

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This work has been supported by the National Natural Science Foundation of China (No.60972023), the National Science and Technology Important Special Project (Nos.2010ZX03003-002 and 2010ZX03003-004), the Open Research Fund of National Mobile Communication Research Laboratory, Southeast University (No.2010D01), the Open Research Fund of State Key Laboratory of Advanced Optical Communication Systems and Networks, China (No.2008SH06), the Startup Fund of Nanjing University of Aeronautics and Astronautics (NUAA), the NUAA Research Funding (No.NS2010091), and the Fundation of Graduate Innovation Center in NUAA.