研究目的
To propose and demonstrate a real-time adaptive optical self-interference cancellation system for in-band full-duplex transmission, aiming to improve spectral efficiency and handle self-interference challenges.
研究成果
The RTA-OSIC system with the MHJ algorithm achieves over 22 dB cancellation depth in the 0-700 MHz band and reduces sample count by 60% compared to the NMS algorithm, demonstrating effective real-time adaptive control for in-band full-duplex transmission, with potential for further improvements in bandwidth and algorithm efficiency.
研究不足
The system's cancellation bandwidth is limited to 0-700 MHz due to ripple voltage on EML; accuracy is constrained by the step sizes of VOA and TODL (0.05 dB and 1 ps); the algorithm may require optimization for broader frequency bands or different signal types.
1：Experimental Design and Method Selection:
The system uses a real-time adaptive control algorithm (Modified Hooke-Jeeves) running on an STM32 microcontroller to adjust optical parameters (VOA and TODL) for self-interference cancellation. The design includes signal transmission, OSIC module, and control module.
2：Sample Selection and Data Sources:
OFDM signals are generated using MATLAB and an AWG, with a center frequency of 400 MHz and bandwidth of 200 MHz. Residual signal power is sampled via an oscilloscope.
3：List of Experimental Equipment and Materials:
Includes STM32 microcontroller, VOA (variable optical attenuator), TODL (tunable optical delay line), EML (electro-absorption modulated laser), SOA (semiconductor optical amplifier), BPD (balanced photodetector), AWG (arbitrary waveform generator), oscilloscope, and MATLAB for data analysis.
4：Experimental Procedures and Operational Workflow:
Signals are modulated, transmitted, and interfered; the control algorithm adjusts VOA and TODL in real-time to minimize residual power; sampling and state transitions occur based on algorithm steps.
5：Data Analysis Methods:
Residual power is evaluated using MATLAB, with statistical analysis of cancellation depth and algorithm performance (e.g., number of samples required).
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STM32
STMicroelectronics
Real-time microcontroller for running the adaptive control algorithm.
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VOA
Variable optical attenuator for adjusting signal amplitude.
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TODL
Tunable optical delay line for adjusting signal phase.
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EML
Electro-absorption modulated laser for signal modulation.
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SOA
Semiconductor optical amplifier for signal amplification.
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BPD
Balanced photodetector for detecting and subtracting signals.
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AWG
Arbitrary waveform generator for producing test signals.
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Oscilloscope
For sampling and measuring residual signal power.
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MATLAB
MathWorks
Software for signal generation, data analysis, and algorithm evaluation.
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