相位解调F-SBS系统的空间分辨率分析与恢复

Spatial Resolution Analysis and Restoration in F-SBS System Based on Phase Demodulation

针对基于相位解调的前向受激布里渊散射(F-SBS)传感系统的空间分辨率进行了理论分析,并通过数值仿真验证了原始数据信噪比不足会导致系统空间分辨率明显恶化。为克服信噪比不足的影响,提出利用注意力引导的卷积去噪神经网络(ADNet)算法进行数据后处理运算,使读取脉冲零阶边带的信噪比由47.05 dB提高到了64.23 dB,系统的空间分辨率由15 m恢复到理论值3 m。此方法在不增加系统测量装置复杂度的前提下有效改善了空间分辨率,有助于促进相位解调F-SBS传感器的实用化。

This study discusses the spatial resolution of a forward stimulated Brillouin scattering(FSBS)sensing system based on phase demodulation.A theoretical analysis of this resolution is conducted,and numerical simulations confirm that inadequate signaltonoise ratios in the original data lead to a noticeable degradation of the system’s spatial resolution.To mitigate the impact of an insufficient signaltonoise ratio,this study proposes the utilization of an attentionguided denoising convolutional neural network algorithm for data postprocessing.The signaltonoise ratio of the zeroorder sideband of the reading pulse increases from 47.05 dB to 64.23 dB when this algorithm is applied.As a result,the system’s spatial resolution is restored from 15 m to its theoretical value of 3 m.This approach effectively enhances the spatial resolution without introducing additional complexity to the measurement apparatus,thereby contributing to the practical implementation of phasedemodulated FSBS sensors.