Qi Yi, Zhang Peng, Chen Yuru, Lei Xiaohua, Feng Jianghua, Chen Weinin
Appl Opt. 2021 Mar 10;60(8):2171-2176. doi: 10.1364/AO.412874.
When the signal-to-noise ratio (SNR) of an optical fiber sensor is lower than a specific value, jump errors will appear in the maximum-likelihood-estimation (MLE) algorithm. This research proposes a quantitative calculation method based on the MLE algorithm. This method can calculate the probability of jump errors by different SNRs. The SNR threshold can also be obtained in the MLE algorithm for the low-finesse interference spectrum. From the simulation, we find that when the SNR varies from 0 dB to 25 dB, the possibility of jump errors decreases exponentially. Subsequent experiments also verify the correctness of the simulation results.
当光纤传感器的信噪比（SNR）低于特定值时，最大似然估计（MLE）算法中会出现跳变误差。本研究提出了一种基于MLE算法的定量计算方法。该方法可以计算不同信噪比下跳变误差的概率。对于低精细度干涉光谱，还可以在MLE算法中获得信噪比阈值。通过仿真发现，当信噪比从0 dB变化到25 dB时，跳变误差的可能性呈指数下降。后续实验也验证了仿真结果的正确性。
