研究目的
Investigating the performance of a real-time Internet of Vehicles system based on automotive headlight utilizing OFDM-64QAM modulation format.
研究成果
The proposed real-time automotive headlight Internet of Vehicles system achieved a data rate of 375Mb/s with a transmission distance of 2.5m using OFDM-64QAM modulation format. The system's performance was optimized by investigating BER versus bias current, attenuation, and transmission distance, marking the highest data rate for a real-time automotive headlight visible light communication system.
研究不足
The system's performance is limited by the nonlinear region of the LED and saturation of the PIN at high currents and low attenuations. The maximum transmission distance is 2.5m to maintain BER under 3.8×10-3.
1：Experimental Design and Method Selection:
Utilized OFDM-64QAM modulation format and a FPGA as the central host for baseband processing.
2：Sample Selection and Data Sources:
Used a commercial automotive headlight and a PIN for signal detection.
3：List of Experimental Equipment and Materials:
FPGA, DAC, ADC, electric amplifier (EA), AD-DC coupler, PIN, filter, differential receive board, data processing board.
4：Experimental Procedures and Operational Workflow:
Generated original data and finished baseband processing with FPGA, converted digital signal to analog signal with DAC, amplified signal with EA, coupled signal with DC bias voltage to the automotive headlight, detected optical signal with PIN, converted optical signal to electrical signal, filtered fluorescence, amplified electrical signal with another EA, converted into digital signal with ADC, sent back to FPGA for processing.
5：Data Analysis Methods:
Calculated BER versus bias current, transmission distance, and attenuation at both transmitter and receiver.
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FPGA
Central host for baseband processing
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DAC
Convert digital signal to analog signal
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ADC
Convert analog signal to digital signal
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Electric Amplifier (EA)
Amplify the signal
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AD-DC coupler
Couple signal with DC bias voltage to the automotive headlight
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PIN
Detect optical signal and convert to electrical signal
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Filter
Eliminate fluorescence from white light
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Differential receive board
Receive and process the signal
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Data processing board
Integrate FPGA, DAC, ADC for signal processing
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