A novel dynamic optical add-drop multiplexer(OADM) scheme using tunable sampled fiber Bragg gratings(SFBG) by Vernier effect is firstly proposed. In this scheme, broad wavelength tuning range is achieved by only sligh...A novel dynamic optical add-drop multiplexer(OADM) scheme using tunable sampled fiber Bragg gratings(SFBG) by Vernier effect is firstly proposed. In this scheme, broad wavelength tuning range is achieved by only slightly adjusting the SFBG, the wavelength tuning of OADM will be faster than traditional dynamic OADM.展开更多
Recognizing the position of moving objects, facilities or important equipments has been regarded as a hot issue in the future environment which needs ubiquitous characteristics. Furthermore, it is indispensably needed...Recognizing the position of moving objects, facilities or important equipments has been regarded as a hot issue in the future environment which needs ubiquitous characteristics. Furthermore, it is indispensably needed to acquire location data in order to realize an infrastructure of sensor network system. Namely, distance data are the preliminary information to complete localization of a moving object in local area. Even though there have been several researches on this topic, there are however still much amount of problems in getting precisely exact distance data. Out of them, the research on using TOF (Time-of-flight) is very few as well as could be thought of as a cutting-edge technique. Moreover, it is very difficult to get minutely RF signal's TOF for getting short distance data; that is, very complicated signal processing skills are requested for realizing it. In this paper, we present a new methodology of RF short ranging technique based on vernier effect through using of heterogeneous operating clocks.展开更多
The improved cross-correlation algorithm for the strain demodulation of Vernier-effect-based optical fiber sensor(VE-OFS)is proposed in this article.The algorithm identifies the most similar spectrum to the measured o...The improved cross-correlation algorithm for the strain demodulation of Vernier-effect-based optical fiber sensor(VE-OFS)is proposed in this article.The algorithm identifies the most similar spectrum to the measured one from the database of the collected spectra by employing the cross-correlation operation,subsequently deriving the predicted value via weighted calculation.As the algorithm uses the complete information in the measured raw spectrum,more accurate results and larger measurement range can be obtained.Additionally,the improved cross-correlation algorithm also has the potential to improve the measurement speed compared to current standards due to the possibility for the collection using low sampling rate.This work presents an important algorithm towards a simpler,faster way to improve the demodulation performance of VE-OFS.展开更多
To further improve sensor sensitivity,a strain and temperature sensor based on the harmonic Vernier effect with cascaded Sagnac interferometers(SIs)is proposed.Through a combination of simulation and experimentation,i...To further improve sensor sensitivity,a strain and temperature sensor based on the harmonic Vernier effect with cascaded Sagnac interferometers(SIs)is proposed.Through a combination of simulation and experimentation,it is shown that the basic Vernier effect can be realized when the lengths of the polarization-maintaining fiber(PMF)in two SIs are slightly different.Furthermore,the first-order harmonic Vernier effect can be achieved when the lengths of two PMFs are approximately integer multiples.This sensor,leveraging the harmonic Vernier effect,demonstrates higher sensitivity.Compared to a single SI,the strain sensitivity based on the basic Vernier effect is improved to 61.93 pm/µεwith a magnification factor of 7.6,and the temperature sensitivity is improved to 14.29 nm/℃with a magnification factor of 9.4.For the first-order harmonic Vernier effect,the strain sensitivity increases to 146.35 pm/µεwith a magnification factor of 18,and the temperature sensitivity increases to 24.92 nm/℃with a magnification factor of 16.5.Additionally,the sensor based on the harmonic Vernier effect exhibits good stability in strain and temperature measurement.Unlike the basic Vernier effect,the harmonic Vernier effect does not require strict control of the reference and sensing interferometer lengths,further increasing sensitivity.Due to its simple structure and low cost,the proposed sensor shows significant potential for applications in high-precision measurement engineering and medical treatment.展开更多
The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors.Typically,Vernier sensor inter...The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors.Typically,Vernier sensor interrogation involves measuring its optical spectrum across a wide wavelength range using a high-precision spectrometer.This process is further complicated by the intricate signal processing required for accurately extracting the Vernier envelope,which can inadvertently introduce errors that compromise sensing performance.In this work,we introduce a novel approach to interrogating Vernier sensors based on a coherent microwave interferenceassisted measurement technique.Instead of measuring the optical spectrum,we acquire the frequency response of the Vernier optical fiber sensor using a vector network analyzer.This response includes a characteristic notch that is highly sensitive to external perturbations.We discuss in detail the underlying physics of coherent microwave interference-based notch generation and the sensing principle.As a proof of concept,we construct a Vernier sensor using two air-gap Fabry–Perot interferometers arranged in parallel,demonstrating high-sensitivity strain sensing through microwave-domain measurements.The introduced technique is straightforward to implement,and the characteristic sensing signal is easy to demodulate and highly sensitive,presenting an excellent solution to the complexities of existing optical Vernier sensor systems.展开更多
文摘A novel dynamic optical add-drop multiplexer(OADM) scheme using tunable sampled fiber Bragg gratings(SFBG) by Vernier effect is firstly proposed. In this scheme, broad wavelength tuning range is achieved by only slightly adjusting the SFBG, the wavelength tuning of OADM will be faster than traditional dynamic OADM.
文摘Recognizing the position of moving objects, facilities or important equipments has been regarded as a hot issue in the future environment which needs ubiquitous characteristics. Furthermore, it is indispensably needed to acquire location data in order to realize an infrastructure of sensor network system. Namely, distance data are the preliminary information to complete localization of a moving object in local area. Even though there have been several researches on this topic, there are however still much amount of problems in getting precisely exact distance data. Out of them, the research on using TOF (Time-of-flight) is very few as well as could be thought of as a cutting-edge technique. Moreover, it is very difficult to get minutely RF signal's TOF for getting short distance data; that is, very complicated signal processing skills are requested for realizing it. In this paper, we present a new methodology of RF short ranging technique based on vernier effect through using of heterogeneous operating clocks.
文摘The improved cross-correlation algorithm for the strain demodulation of Vernier-effect-based optical fiber sensor(VE-OFS)is proposed in this article.The algorithm identifies the most similar spectrum to the measured one from the database of the collected spectra by employing the cross-correlation operation,subsequently deriving the predicted value via weighted calculation.As the algorithm uses the complete information in the measured raw spectrum,more accurate results and larger measurement range can be obtained.Additionally,the improved cross-correlation algorithm also has the potential to improve the measurement speed compared to current standards due to the possibility for the collection using low sampling rate.This work presents an important algorithm towards a simpler,faster way to improve the demodulation performance of VE-OFS.
基金supported by the National Key Research and Development Program of China(Grant No.2023YFB3209500)Shenzhen Science and Technology Program,China(Grant No.JCYJ20220818095800001)+2 种基金China Postdoctoral Science Foundation(Grant No.2024T170579)National Natural Science Foundation of China(Grant No.62374111)Guangdong Basic and Applied Basic Research Foundation,China(Grant No.2024A1515010164).
文摘To further improve sensor sensitivity,a strain and temperature sensor based on the harmonic Vernier effect with cascaded Sagnac interferometers(SIs)is proposed.Through a combination of simulation and experimentation,it is shown that the basic Vernier effect can be realized when the lengths of the polarization-maintaining fiber(PMF)in two SIs are slightly different.Furthermore,the first-order harmonic Vernier effect can be achieved when the lengths of two PMFs are approximately integer multiples.This sensor,leveraging the harmonic Vernier effect,demonstrates higher sensitivity.Compared to a single SI,the strain sensitivity based on the basic Vernier effect is improved to 61.93 pm/µεwith a magnification factor of 7.6,and the temperature sensitivity is improved to 14.29 nm/℃with a magnification factor of 9.4.For the first-order harmonic Vernier effect,the strain sensitivity increases to 146.35 pm/µεwith a magnification factor of 18,and the temperature sensitivity increases to 24.92 nm/℃with a magnification factor of 16.5.Additionally,the sensor based on the harmonic Vernier effect exhibits good stability in strain and temperature measurement.Unlike the basic Vernier effect,the harmonic Vernier effect does not require strict control of the reference and sensing interferometer lengths,further increasing sensitivity.Due to its simple structure and low cost,the proposed sensor shows significant potential for applications in high-precision measurement engineering and medical treatment.
文摘The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors.Typically,Vernier sensor interrogation involves measuring its optical spectrum across a wide wavelength range using a high-precision spectrometer.This process is further complicated by the intricate signal processing required for accurately extracting the Vernier envelope,which can inadvertently introduce errors that compromise sensing performance.In this work,we introduce a novel approach to interrogating Vernier sensors based on a coherent microwave interferenceassisted measurement technique.Instead of measuring the optical spectrum,we acquire the frequency response of the Vernier optical fiber sensor using a vector network analyzer.This response includes a characteristic notch that is highly sensitive to external perturbations.We discuss in detail the underlying physics of coherent microwave interference-based notch generation and the sensing principle.As a proof of concept,we construct a Vernier sensor using two air-gap Fabry–Perot interferometers arranged in parallel,demonstrating high-sensitivity strain sensing through microwave-domain measurements.The introduced technique is straightforward to implement,and the characteristic sensing signal is easy to demodulate and highly sensitive,presenting an excellent solution to the complexities of existing optical Vernier sensor systems.
文摘为提升法布里-珀罗(Fabry-Pérot,F-P)传感器游标光谱信号解调的准确性,提出基于深度学习的光谱数据直接解调方法。首先对光谱数据进行预处理,将复杂的游标光谱信息转化为卷积神经网络(Convolutional Neural Network,CNN)可以处理的数据格式,然后采用深度学习模型对预处理后的完整光谱数据进行训练和测试,并利用卷积神经网络对光谱数据进行特征提取和分类,最终实现待测信号的准确解调。使用灵敏度为112.5 nm/MPa的双腔法布里-珀罗传感器采集光谱数据,并开展信号解调实验,结果表明:CNN模型对未知光谱进行10折(fold)交叉验证的平均准确率为92.49%,均方根误差RRMSE(Root Mean Square Error,RMSE)为0.0392 MPa,相对误差的平均值为3.31%;卷积神经网络-长短期记忆(Convolutional Neural Network-Long Short Term Memory,CNN-LSTM)模型对未知光谱进行10折交叉验证的平均准确率为96.98%,RRMSE为0.0390 MPa,相对误差的平均值为3.28%。基于CNN-LSTM模型的方法仅通过解调256个采样点的数据就实现了较高准确度,具有便捷、高效的优点,为推动光谱信号解调领域发展提供了有效的技术途径,为开发智能光学传感系统提供了重要参考。
