Cascaded Optical Microring Resonator Based Auto-Correction Assisted High Resolution Microwave Photonic Sensor

Tian, Xiaoyi; Li, Liwei; Chew, Suen Xin; Gunawan, Giorgio; Nguyen, Linh; Yi, Xiaoke

doi:10.1109/jlt.2021.3095336

Cited by 16 publications

(19 citation statements)

References 51 publications

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“…In response to the difficulty of multiparameter sensing by a single mode in a complex environment, multimode spectroscopy methods are adopted to achieve parallel detection of multiple parameters. Currently, multi-parameter sensing based on optical microcavities often relies on sensor arrays [ 68 – 71 ], which consist of several individual sensors for measuring different parameters. In many cases, each optical microcavity is designed to measure specific parameters and requires the surface of the optical microcavity to be modified with sensitive materials.…”

Section: Multimode Sensing Applicationsmentioning

confidence: 99%

Multimode sensing based on optical microcavities

Wu,

Duan,

et al. 2023

Front. Optoelectron.

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Optical microcavities have the ability to confine photons in small mode volumes for long periods of time, greatly enhancing light-matter interactions, and have become one of the research hotspots in international academia. In recent years, sensing applications in complex environments have inspired the development of multimode optical microcavity sensors. These multimode sensors can be used not only for multi-parameter detection but also to improve measurement precision. In this review, we introduce multimode sensing methods based on optical microcavities and present an overview of the multimode single/multi-parameter optical microcavities sensors. Expected further research activities are also put forward. Graphical abstract

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Section: Multimode Sensing Applicationsmentioning

confidence: 99%

Multimode sensing based on optical microcavities

Wu,

Duan,

et al. 2023

Front. Optoelectron.

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“…In response, MWP sensing has emerged as a new sensing technique, elevating sensing speed and resolution for practical applications. The fundamental concept of MWP sensing involves converting the measurement of optical sensor responses from the optical domain to the microwave domain, harnessing the capabilities of radiofrequency (RF) devices and technologies to enhance performance [18][19][20][21][22][23][24][25][26][27]. Among various approaches, integrated MWP sensors, particularly those based on microresonators, have gained significant attention due to their demonstrated high performance and potential [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Integrated Microresonator-Based Microwave Photonic Sensors Assisted by Machine Learning

Yi,

Tian,

Zhou

et al. 2024

J. Lightwave Technol.

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Microwave photonic (MWP) sensors, facilitating high speed and high resolution through the conversion of optical responses from the optical to the radio frequency domain, are becoming indispensable in an era where advanced sensing capabilities are paramount.The combination of machine learning (ML) with microwave photonics has provided advanced solutions that were previously unattainable. This paper begins by elucidating the operational principles of MWP sensing, and then proceeds to present the latest developments in the merging of ML and deep learning (DL) with integrated MWP sensors, where the development of photonic integration enables the realisation of onchip sensors with significant improvements in both performance and miniaturization. ML/DL assisted MWP sensors with enhanced sensing capabilities, including athermal operation, resistance to noise and interference, multiple parameters detection, and extended sensing range, while exhibiting compactness, cost-effectiveness, and scalability, are presented. Prospective opportunities that could further propel the field of MWP sensing are also discussed.

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“…One of the methods is to cascade the cells. This method is used in both microwave sensors [47, 48] and optical sensors [37, 49]. For example, in [47] a microwave sensor with the method of single wire was designed and then in [37] two structures of single wire were cascaded and increased its sensitivity.…”

Section: Introductionmentioning

confidence: 99%

A symmetric bar chart-shape microwave sensor with high Q-factor for permittivity determination of fluidics

Navaei

Rezaei

Kiani

2023

Int. J. Microw. Wireless Technol.

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This paper introduces a symmetric bar chart-shape (SBCS) microwave sensor for measuring permittivity of fluidic samples. For designing purposes, the introduced sensor was used based on the field changes between the SBCS and rectangular loop microstrip (RLM) structure. When a sample is placed on the sensing location, interaction between SBCS and RLM varies the field intensity. The vinegar samples were combined with water and then they are placed on the sensor. The change in field intensity changes the resonance frequency. However, there is a relationship between the permittivity of samples and the resonance frequencies. The proposed sensor is implemented on the substrate of RO4003C. The relative permittivity of samples changed from 59 to 77 and the resonance frequencies changed from 2.3 to 1.4 GHz. The quality factor is 3544 and the sensitivity is 2.2%.

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Cascaded Optical Microring Resonator Based Auto-Correction Assisted High Resolution Microwave Photonic Sensor

Cited by 16 publications

References 51 publications

Multimode sensing based on optical microcavities

Multimode sensing based on optical microcavities

Integrated Microresonator-Based Microwave Photonic Sensors Assisted by Machine Learning

A symmetric bar chart-shape microwave sensor with high Q-factor for permittivity determination of fluidics

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