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Simultaneous measurement of distance and speed using frequency-modulated continuous-wave self-mixing interferometry and all-phase fast Fourier transform
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作者 Jinyuan Yuan Bin Liu 《Chinese Optics Letters》 SCIE EI CAS CSCD 2024年第7期29-34,共6页
In this work,we propose a method using frequency-modulated continuous-wave(FMCW)self-mixing interferometry(SMI)and all-phase fast Fourier transform(APFFT)for simultaneous measurement of speed and distance.APFFT offers... In this work,we propose a method using frequency-modulated continuous-wave(FMCW)self-mixing interferometry(SMI)and all-phase fast Fourier transform(APFFT)for simultaneous measurement of speed and distance.APFFT offers superior accuracy in frequency determination by mitigating issues like the fence effect and spectrum leakage,contributing to the high-accuracy measurement for speed and distance.Both simulations and experiments have demonstrated relative errors at the levels of 10^(−4) and 10^(−3) for distance and speed measurements,respectively.Furthermore,factors impacting measurement performance have been discussed.The proposed method provides a high-performance and cost-effective solution for distance and speed measurements,applicable across scientific research and various industrial domains. 展开更多
关键词 self-mixing interferometry frequency-modulated continuous-wave interferometry all-phase fast Fourier transform measurement of distance and speed
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Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine 被引量:3
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作者 WANG Xiu-lin LÜLi-ping +1 位作者 HU Lu HUANG Wen-cai 《Optoelectronics Letters》 EI 2020年第6期467-470,共4页
In this paper, we present a method based on self-mixing interferometry combing extreme learning machine for real-time human blood pressure measurement. A signal processing method based on wavelet transform is applied ... In this paper, we present a method based on self-mixing interferometry combing extreme learning machine for real-time human blood pressure measurement. A signal processing method based on wavelet transform is applied to extract reversion point in the self-mixing interference signal, thus the pulse wave profile is successfully reconstructed. Considering the blood pressure values are intrinsically related to characteristic parameters of the pulse wave, 80 samples from the MIMIC-II database are used to train the extreme learning machine blood pressure model. In the experiment, 15 measured samples of pulse wave signal are used as the prediction sets. The results show that the errors of systolic and diastolic blood pressure are both within 5 mm Hg compared with that by the Coriolis method. 展开更多
关键词 PROFILE Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine
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Phase-unwrapping algorithm combined with wavelet transform and Hilbert transform in self-mixing interference for individual microscale particle detection 被引量:3
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作者 赵宇 李嘉玮 +3 位作者 张梦雷 赵洋洋 邹江林 陈涛 《Chinese Optics Letters》 SCIE EI CAS CSCD 2023年第4期31-36,共6页
The self-mixing interferometry(SMI)technique is an emerging sensing technology in microscale particle classification.However,due to the nature of the SMI effect raised by a microscattering particle,the signal analysis... The self-mixing interferometry(SMI)technique is an emerging sensing technology in microscale particle classification.However,due to the nature of the SMI effect raised by a microscattering particle,the signal analysis suffers from many problems compared with a macro target,such as lower signal-to-noise ratio(SNR),short transit time,and time-varying modulation strength.Therefore,the particle sizing measurement resolution is much lower than the one in typical displacement measurements.To solve these problems,in this paper,first,a theoretical model of the phase variation of a singleparticle SMI signal burst is demonstrated in detail.The relationship between the phase variation and the particle size is investigated,which predicts that phase observation could be another alternative for particle detection.Second,combined with continuous wavelet transform and Hilbert transform,a novel phase-unwrapping algorithm is proposed.This algorithm can implement not only efficient individual burst extraction from the noisy raw signal,but also precise phase calculation for particle sizing.The measurement shows good accuracy over a range from 100 nm to 6μm with our algorithm,proving that our algorithm enables a simple and reliable quantitative particle characteristics retrieval and analysis methodology for microscale particle detection in biomedical or laser manufacturing fields. 展开更多
关键词 self-mixing interferometry particle detection continuous wavelet transform laser processing Hilbert transform
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Blind identification of occurrence of multi-modality in laser-feedback-based self-mixing sensor 被引量:1
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作者 Muhammad Usman Usman Zabit +1 位作者 Olivier DBernal Gulistan Raja 《Chinese Optics Letters》 SCIE EI CAS CSCD 2020年第1期29-33,共5页
Self-mixing interferometry(SMI)is an attractive sensing scheme that typically relies on mono-modal operation of an employed laser diode.However,change in laser modality can occur due to change in operating conditions.... Self-mixing interferometry(SMI)is an attractive sensing scheme that typically relies on mono-modal operation of an employed laser diode.However,change in laser modality can occur due to change in operating conditions.So,detection of occurrence of multi-modality in SMI signals is necessary to avoid erroneous metric measurements.Typically,processing of multi-modal SMI signals is a difficult task due to the diverse and complex nature of such signals.However,the proposed techniques can significantly ease this task by identifying the modal state of SMI signals with 100%success rate so that interferometric fringes can be correctly interpreted for metric sensing applications. 展开更多
关键词 self-mixing interferometry LASER DIODE MULTI-MODALITY optical FEEDBACK
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SNR improvement of 8.2 dB in a self-mixing laser diode interferometer by using the difference signal at the output mirrors[Invited] 被引量:1
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作者 Silvano Donati Michele Norgia 《Chinese Optics Letters》 SCIE EI CAS CSCD 2021年第9期109-115,共7页
At the mirrors of a laser diode self-mixing interferometer,the output beams carry anti-correlated(i.e.f in phase opposition)interferometric signals,whereas the superposed noise fluctuations are(partially)correlated.Th... At the mirrors of a laser diode self-mixing interferometer,the output beams carry anti-correlated(i.e.f in phase opposition)interferometric signals,whereas the superposed noise fluctuations are(partially)correlated.Therefore,by using an instrumental output of the interferometer as the difference of the two,we double the amplitude of the self-mixing useful signal,while the superposed noise is reduced.To validate the idea,we first calculate the noise reduction by means of a second-quantization model,finding that in a laser diode the signal-to-noise ratio(SNR)can be improved by 8.2 dB,typically.Then,we also carry out an experimental measurement of SNR and find very good agreement with the theoretical result. 展开更多
关键词 interferometry self-mixing noise laser diodes
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