| 小型化光纤光栅解调系统设计及寻峰算法的模拟评测 |
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| 引用本文： | 孙杉杉,杨雄,王海勇,姜亚军,杨德兴.小型化光纤光栅解调系统设计及寻峰算法的模拟评测[J].应用光学,2020,41(3):618-625. |
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| 作者姓名： | 孙杉杉 杨雄 王海勇 姜亚军 杨德兴 |
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| 作者单位： | 1.上海航天设备制造总厂有限公司，上海 200245 |
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| 基金项目： | 上海航天科技创新基金（SAST2017-059）；八院职工创新创意项目基金（2018108） |
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| 摘 要： | 为实现光纤布拉格光栅（FBG）反射光谱信号的实时监测，基于全固态光谱模块设计了用于解调FBG信号的硬件系统和软件架构，编写了上位机软件，嵌入了不同的寻峰算法，可适用于不同噪声环境下中心波长的计算，以减少由算法带来的波长误差。软件还包括数据采集、存储及回放等功能。以高斯拟合寻峰算法为例，提出了一种不依赖硬件设备对寻峰算法进行模拟评测的方法，提高了这类光谱解调系统的开发效率。采用叠加了不同噪声水平的理想FBG反射谱进行模拟评测实验，结果表明，阈值取为噪声平均幅值的2倍时可获得最佳的寻峰结果，且寻峰误差与采集数据的信噪比（SNR）和光谱峰宽成反比。运用高斯拟合寻峰算法对硬件系统实际采集的FBG反射谱数据进行寻峰计算，所得系统精度为5.89 pm，与模拟评测结果的误差小于1.7 pm，验证了模拟评测的可行性。
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| 关 键 词： | 光纤布拉格光栅 光纤光栅解调系统 寻峰算法 模拟评测 高斯函数 |
| 收稿时间： | 2019-11-18 |
Design of miniaturized fiber grating demodulation system and simulation evaluation of peak-detection algorithm |
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| Affiliation: | 1.Shanghai Aerospace Equipment Manufacturer Co., Ltd., Shanghai 200245, China2.School of Science, Northwestern Polytechnical University, Xi’an 710129, China |
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| Abstract: | In order to realize the real-time monitoring of the reflection spectrum signal in the fiber Bragg grating (FBG), the hardware system and the software architecture for demodulating the FBG signals were designed based on the all-solid-state spectrum module. The host computer software was programmed and embedded with different peak-detection algorithms, which could be applied to the calculation of the central wavelength under different noise environments to reduce the wavelength error caused by the algorithm. The software also included functions such as data acquisition, storage and playback. Taking Gaussian fitting peak-detection algorithm as an example, a method of simulation evaluation to peak-detection algorithm without hardware device was proposed, which improved the development efficiency of this kind of spectrum demodulation system. The simulation evaluation experiments were performed by using the ideal FBG reflection spectrum with different noise levels. The results show that the best peak-detection result can be obtained when the threshold is taken as twice the noise average amplitude, and the peak-detection errors are inversely proportional to the signal-to-noise ratio (SNR) of the collected data and the spectral peak width. The Gaussian fitting peak-detection algorithm is used to calculate the FBG reflection spectrum data actually collected by the hardware system, and the obtained accuracy of the system is 5.89 pm, the error from the simulation evaluation result is less than 1.7 pm, which proves the feasibility of the simulation evaluation. |
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