基于FPGA的宽光谱光纤法珀干涉信号的稀疏采样系统的研究
Research on High Speed Sparse Sampling System for Wide Spectral Fiber Fabry Sensor Signals Based on FPGA
摘要:
现有的宽光谱光纤法珀干涉信号的快速解调算法模型能在减少两个数量级的光谱采样点的基础上对信号进行解调,保证原有精度,这为大幅度提高光谱探测型宽光谱光纤法珀系统的解调速度奠定了基础。本文设计了一种对宽光谱干涉信号进行40个采样点的高速稀疏采样硬件系统。通过对同一法珀宽光谱干涉信号进行光谱仪密集采样与稀疏采样的结果对比,得出稀疏采样硬件系统能很好地复现宽光谱干涉信号的结论。这对宽光谱光纤法珀传感器应用于高速监测领域具有重要意义。
Abstract:
The existing fast demodulation model of the wide-spectrum fiber fabry interference signal can demodulate the signal based on the reduction of the spectral sampling points of two orders of magnitude to ensure the original accuracy, which lays the foundation for greatly improving the demodulation speed of wide-spectrum fiber fabry system. In this paper, a high-speed sparse sampling hardware system with 40 sampling points for wide-spectrum interference signals is designed. By comparing the results of dense sampling and sparse sampling of the same Fabry-spectrum interference signal, the conclusion that the sparse sampling hardware system can reproduce the wide-spectrum interference signal well is obtained. This is of great significance for the application of wide-spectrum fiber fabry sensors in high-speed monitoring.
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