特殊工况下压缩感知处理光纤传感信号

Liu Hang, Wang Bo, Lang Daizhi, Huang Rongqiang
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引用次数: 0

摘要

地下管廊环境复杂,实际工程应用环境中噪声干扰大,给峰值检测带来困难。通过对多个观测矩阵、每次迭代选取的稀疏度K和原子数m的分析,提出了一种适用于这种环境下光纤布拉格光栅传感器信号的基于压缩感知算法的处理方法,可以提高信号重建的精度和保真度。仿真结果表明,当K=20, m=2时,高斯随机观测矩阵重构传感器信号的精度最高,且能保持传感器信号的保真度,处理时间最短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Processing Optical Fiber Sensing Signals with Compressed Sensing under special working conditions
The environment of underground pipe gallery is complicated and the noise interference is large in the actual engineering application environment, which makes peak detection difficult. A processing method based on the compressed sensing algorithm which suitable for fiber Bragg grating sensor signal on this environment is proposed by analyzing multiple observation matrices, the sparsity K and the number of atoms m selected in each iteration, which can be improve the signal reconstruction accuracy and fidelity. The simulation results show that, the Gaussian random observation matrix can make the highest sensor signal reconstruction accuracy, and it can retain the fidelity and have the least processing time when K=20 and m=2.
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