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Volume 44 Issue 8
Aug.  2022
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JIA Kejun, GUO Huiling, QIN Cuicui, CAO Minghua, LI Suoping, HAO Li. Design and Performance Research of Adaptive Direct Current Biased Offset Optical-OFDM System for Visible Light Communication[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2686-2694. doi: 10.11999/JEIT220027
Citation: JIA Kejun, GUO Huiling, QIN Cuicui, CAO Minghua, LI Suoping, HAO Li. Design and Performance Research of Adaptive Direct Current Biased Offset Optical-OFDM System for Visible Light Communication[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2686-2694. doi: 10.11999/JEIT220027

Design and Performance Research of Adaptive Direct Current Biased Offset Optical-OFDM System for Visible Light Communication

doi: 10.11999/JEIT220027
Funds:  The National Natural Science Foundation of China (61875080, 61461026), The Natural Science Foundation of Gansu Province (18JR3RA153), Ph.D. Research Funding of Lanzhou University of Technology (061903)
  • Received Date: 2022-01-06
  • Rev Recd Date: 2022-05-22
  • Available Online: 2022-06-06
  • Publish Date: 2022-08-17
  • The traditional Direct Current (DC) biased offset Optical Orthogonal Frequency Division Multiplexing (DCO-OFDM) system obtains a unipolar signal by adding a DC offset and limiting amplitude. Due to the randomness of the Inverse Discrete Fourier Transform (IDFT) output time domain signal, a fixed DC offset will produce larger non-linear limiting distortion. It is proposed to design an Adaptive DC offset Optical OFDM (ADCO-OFDM) system to minimize the Mean Square Error (MSE) between the symbols before and after bilateral clipping as the optimization objective, and to solve the DC that minimizes nonlinear clipping distortion. The principle of the ADCO-OFDM system is introduced, the Signal-to-Noise Ratio (SNR) of sub-carrier bits is deduced, an optimization model for minimizing the mean square error is established, and the process of solving the optimal DC offset is given. The Monte Carlo simulation method is used to analyze the Bit Error Rate (BER) and optical power consumption, which verifies the correctness of the system design and performance analysis.
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