研究目的
To tackle the challenge of processing large amounts of data generated by distributed optical fiber sensors in real-time, in situ applications by proposing a parallel and pipelined computing architecture.
研究成果
The proposed parallel and pipelined computing architecture successfully accelerates the signal-processing speed for sub-THz-fs distributed sensing applications, maintaining high spatial resolution and enabling real-time sensing and control applications without the need to store raw or intermediate data.
研究不足
The technical constraints include the need for high-speed signal processing capabilities and the application constraints involve the dynamic range and sensitivity of the sensors.
1：Experimental Design and Method Selection:
A parallel and pipelined computing architecture was designed to accelerate the signal-processing speed of sub-terahertz fiber sensor arrays.
2：Sample Selection and Data Sources:
A 20 pt periodic weak reflection sub-THz-fs array with a 1 mm pitch length was used.
3：List of Experimental Equipment and Materials:
DFB laser, FPGA chip, ADC, DAC, AGC amplifier, photodiode, MZI.
4：Experimental Procedures and Operational Workflow:
The system schematic includes a sweep velocity-locked laser pulse generator module and the sensing module. The signal processing architecture was implemented in an FPGA chip.
5：Data Analysis Methods:
The signal processing includes filtering, signal mixing algorithms, and peak position detection to measure changes along the sensing probe.
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