{"title":"An Optical Transformation Design Method of Sky Screen Sensor Based on Lens Convergence","authors":"Hanshan Li","doi":"10.1109/JSEN.2024.3485994","DOIUrl":null,"url":null,"abstract":"To eliminate the influence of detection dead area and improve the detection ability of the traditional sky screen sensor that uses fiber convergence to realize optical transformation, this article proposed a new optical transformation method using lens convergence to design the detection optical path of sky screen sensor. This optical transformation method mainly uses lens components of different curvatures to transform the light energy on the slit diaphragm of the sky screen sensor into an approximately circular or elliptical image spot and use a small surface photoelectric detector with higher sensitivity to receive the projectile imaging information, which avoids the problem of light energy loss caused by low fiber transmission rate and dead area in the traditional fiber convergence, so as to improve the detection ability of the sky screen sensor. In addition, we establish the detection sensitivity model of the new sky screen sensor, design a low noise and high gain amplifier circuit, and give the signal-to-noise ratio calculation function. Through testing and analysis, the results show that the proposed design method can effectively improve the detection ability of the sky screen sensor, and the signal-to-noise ratio increases by 1.8 in comparison with new sky screen and traditional sky screen under the same environmental illumination and the same detection distance.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40685-40695"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10739967/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
To eliminate the influence of detection dead area and improve the detection ability of the traditional sky screen sensor that uses fiber convergence to realize optical transformation, this article proposed a new optical transformation method using lens convergence to design the detection optical path of sky screen sensor. This optical transformation method mainly uses lens components of different curvatures to transform the light energy on the slit diaphragm of the sky screen sensor into an approximately circular or elliptical image spot and use a small surface photoelectric detector with higher sensitivity to receive the projectile imaging information, which avoids the problem of light energy loss caused by low fiber transmission rate and dead area in the traditional fiber convergence, so as to improve the detection ability of the sky screen sensor. In addition, we establish the detection sensitivity model of the new sky screen sensor, design a low noise and high gain amplifier circuit, and give the signal-to-noise ratio calculation function. Through testing and analysis, the results show that the proposed design method can effectively improve the detection ability of the sky screen sensor, and the signal-to-noise ratio increases by 1.8 in comparison with new sky screen and traditional sky screen under the same environmental illumination and the same detection distance.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
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-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
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-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice