研究目的
To demonstrate a high-speed underwater wireless optical communication system using adaptive bit-power loading discrete multi-tone and Volterra series based post nonlinear equalization to mitigate nonlinear impairments and achieve high data rates over various distances in tap water.
研究成果
The demonstrated UWOC system achieves record-high data rates and distance-datarate products for single laser diode transmissions, showcasing the potential of adaptive bit-power loading DMT and post nonlinear equalization in mitigating nonlinear impairments and enhancing underwater optical communication performance.
研究不足
The system's performance is limited by the bandwidth of the electrical amplifier and trans-impedance amplifier, restricting the usable electrical signal bandwidth to 2.75 GHz. Future work could explore equipment with larger bandwidth for higher system capacity.
1：Experimental Design and Method Selection
The experiment utilizes a 450-nm laser diode for underwater wireless optical transmission, employing adaptive bit-power loading discrete multi-tone (DMT) and Volterra series based post nonlinear equalization to combat nonlinear effects.
2：Sample Selection and Data Sources
The transmission is tested over tap water channels of 5 m, 35 m, and 55 m lengths to evaluate the system's performance under different conditions.
3：List of Experimental Equipment and Materials
450-nm laser diode (Osram PL450B),Arbitrary waveform generator (Tektronix 7122C),Electrical amplifier (Mini-Circuits ZFL-2500VH-S+),Bias-T (Mini-Circuits ZFBT-4R2GW+),Thermo-electric cooler (TEC),Water tank (5 m × 0.6 m × 0.3 m),Si PIN photodetector (Alphalas UPD-50-SP),Trans-impedance amplifier (TIA),Digital serial analyzer (Tektronix DSA72004C)
4：Experimental Procedures and Operational Workflow
The DMT signal is generated and loaded into an AWG, amplified, and combined with a DC bias before driving the LD. The laser beam is collimated and transmitted through the water tank. The received optical signal is detected, amplified, and analyzed for performance metrics.
5：Data Analysis Methods
The system's performance is evaluated based on signal-to-noise ratio (SNR), bit error rate (BER), and transmission capacity, using MATLAB for signal processing and analysis.
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