Self-Mixing Interferometer Based on Frequency Analysis Method for Accurate Refractive Index Measurement

Zhang, Yongbing; Wei, Yingbin; Chen, Chenxi; Wang, Xiulin; Xu, Hui

doi:10.1109/jphot.2016.2520822

Cited by 11 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, period-one oscillation in SMI has been used to measure displacement by using laser relaxation oscillation frequency [21]. Likewise, a frequency analysis performed directly on SM signal led to the measurement of refractive index with high accuracy [22].…”

Section: Index Terms-vibration Measurement; Self-mixing; Optical Feedmentioning

confidence: 99%

Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime

et al. 2019

View full text Add to dashboard Cite

Technology of Pakistan. His current research interests include magnetic field based measurement and monitoring for power systems, magnetic energy harvesters and innovative instrumentation problems. Thierry Bosch (M'93-SM'06) is a Professor with Institut National Polytechnique Toulouse-ENSEEIHT and member of the Optoelectronics for Embedded Systems Research Group, LAAS-CNRS. His research interests include laser industrial instrumentation development, including range finding techniques, vibration and velocity measurements. He is presently Vice President of IEEE IM France.

show abstract

Section: Index Terms-vibration Measurement; Self-mixing; Optical Feedmentioning

confidence: 99%

Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime

et al. 2019

View full text Add to dashboard Cite

show abstract

“…mirrors, beam-splitters, and external photo-detectors), SMI is attractive for real-world applications due to self-aligned, low-cost and compact nature of the SMI sensor (see Figure 1). SMI has been thus demonstrated for vibration [8], [9], displacement [10], [11], gas spectroscopy [12], embedded [13] and biomedical applications [14] etc. SMI based retrieval of remote target's displacement, however, is not simple due to rich diversity in the shape, amplitude, and hysteresis of SMI signals under variable optical feedback coupling (see Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry

et al. 2021

View full text Add to dashboard Cite

Phase unwrapping is an integral part of multiple algorithms with diverse applications. Detailed phase unwrapping is also necessary for achieving high accuracy metric sensing using laser feedback based self-mixing interferometry (SMI). Among SMI specific phase unwrapping approaches, a technique called Improved Phase Unwrapping Method (IPUM) provides the highest accuracy. However, due to its complex, sequential, and compute-intensive nature, this method requires a high performance computing architecture, capable of scalable parallel processing so that such a high accuracy algorithm can be used for high bandwidth sensing applications. In this work, the existing sequential IPUM C program is parallelized by using hybrid OpenMP/MPI (Open Multi-Processing/Message Passing Interface) parallel programming models and tested on Barcelona Supercomputing Center Nord-III Supercomputer. The computational performance of the proposed parallel-hybrid IPUM algorithm is compared with existing IPUM sequential code by executing multi-core and uni-core processor architecture respectively. While comparing the performance of sequential IPUM with the parallel-hybrid IPUM algorithm on 16 nodes of Nord-III supercomputer, the results show that the parallelhybrid algorithm gets 345.9x times performance improvement as compared to IPUM's standard, sequential implementation on a single node system. The results show that the parallel-hybrid version of IPUM gives a scalable performance for different target velocities and a different number of processing cores.

show abstract

“…ELF-MIXING (SM) or optical feedback interferometry [1,2], is being increasingly employed for measuring displacement [3,4], distance [5,6], velocity [7], vibration [8], flow [7], and refractive index [9] etc. providing compact, lowcost, contactless, and self-aligned instrumentation.…”

Section: Introductionmentioning

confidence: 99%

Detection of Multimodal Fringes for Self-Mixing-Based Vibration Measurement

Usman

Zabit

Bernal

et al. 2020

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

Correct detection of interferometric fringes is necessary to enable high resolution metric measurements using laser diode (LD) based self-mixing (SM) interferometry. For noisy, experimentally acquired SM signals, fringe detection is a challenge even when the LD remains mono-modal. This task becomes more complicated in case multiple laser modes undergo SM. In this paper, a novel SM fringe detection method is proposed which correctly processes multi-modal as well as typically encountered mono-modal SM signals. As SM fringes appear as local signal peaks in SM signals, so the proposed method uses peak detection to detect all-possible local peaks within the SM signal. Then, it successively refines its performance by removing false peaks (fringes) by analyzing corresponding SM fringe characteristics. In order to validate the proposed method for SM vibration sensing, several mono-, bi-, and tri-modal SM signals were acquired by using two different LDs normally emitting at 637 nm and 650 nm respectively. The proposed method is also tested on experimental SM signals corresponding to cases of variation in frequency as well as amplitude of remote target vibration. The proposed method has correctly detected 10786 fringes out of total 10844 fringes making up the data-set i.e. an accuracy of 99.46%. However, 55 false fringes were also detected (0.51%) while 58 true fringes were undetected (0.54%) by the proposed method.

show abstract

Self-Mixing Interferometer Based on Frequency Analysis Method for Accurate Refractive Index Measurement

Cited by 11 publications

References 20 publications

Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime

Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime

Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry

Detection of Multimodal Fringes for Self-Mixing-Based Vibration Measurement

Contact Info

Product

Resources

About