Mobile channel estimation based on decision feedback in vehicle-to-infrastructure visible light communication systems

2020 ◽  
Vol 462 ◽  
pp. 125261
Author(s):  
Xiaodi You ◽  
Yanjun Zhong ◽  
Jian Chen ◽  
Changyuan Yu
2018 ◽  
Vol 7 (4) ◽  
pp. 2638 ◽  
Author(s):  
Yaseein Soubhi Hussein ◽  
Mohamad Yusoff Alias ◽  
Ayad A. Abdulkafi ◽  
Nazaruddin Omar ◽  
Mohd Kamarulzamin Bin Salleh

The tremendous growth of indoor communication requires increased capacity and appropriate quality of services. Visible light communica-tion (VLC) is a green technology that shows great promise in terms of its ability to meet the demand for communication services. Orthogo-nal frequency division multiplexing (OFDM) enables VLC to provide a higher data rate and to combat inter-symbol interference. However, an accurate and efficient channel estimation method is needed for coherent demodulation at the receiver end of an OFDM system. In this paper, a new algorithm for OFDM-based VLC systems is proposed. The algorithm is based on expectation maximization and is called the expectation maximization for visible light communication (EM-VLC) algorithm. The algorithm is implemented to find the maximum-likelihood (ML) estimation of the channel impulse response and to find unknown parameters. In addition, a low-rank minimum mean square error (lr-MMSE) estimator algorithm is developed and its performance is compared with least squares (LS) and minimum mean square error (MMSE) estimators. The proposed EM-VLC algorithm improves the performance of OFDM VLC systems by significantly reducing the bit error rate (BER) and consequently increasing system throughput. The simulation results demonstrate that the EM-VLC algorithm outper-forms the three channel estimation algorithms, LS, MMSE and lr-MMSE.  


2020 ◽  
Vol 9 (3) ◽  
pp. 340-343 ◽  
Author(s):  
Zhipeng Gao ◽  
Yuhao Wang ◽  
Xiaodong Liu ◽  
Fuhui Zhou ◽  
Kat-Kit Wong

2019 ◽  
Vol 78 (13) ◽  
pp. 1213-1222
Author(s):  
A. A. Abdulkafi ◽  
S. M. Hardan ◽  
M. K. Hussein ◽  
Ibrahim K. Sileh

Sign in / Sign up

Export Citation Format

Share Document