Training sequence based channel estimation for indoor visible light communication system |
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Authors: | WANG Jun-bo JIAO Yuan DANG Xiao-yu CHEN Ming XIE Xiu-xiu and CAO Ling-ling |
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Institution: | 1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China 2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China
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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. |
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Keywords: | |
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