High Linearity Microwave Displacement Sensor

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Juan-Mateo Meza-Arenas;Jose-Luis Olvera-Cervantes;Alonso Corona-Chavez
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引用次数: 0

Abstract

This article presents a new planar microwave sensor for displacement measurements. The sensor is based on a modified triangular-shaped quarter-wavelength resonator that has the advantage of maintaining its linearity throughout the required displacement range due to its reduced ground capacitance when compared to conventional resonators. Designs of three different sensors are shown for displacement ranges of 4, 14, and 24 mm. Their figure of merit (FoM) is FoM =0.5 for the 4-mm sensor, 0.7 for the 14-mm sensor, and 0.97 for the 24-mm sensor. Moreover, the midrange sensor (14 mm) was manufactured to operate in a frequency range from 700 MHz to 2 GHz having an FoM =0.7. This sensor is operated using a vector network analyzer (VNA) and an alternative reflectometer board for onsite applications. The experimental values show errors of less than 4% when comparing the VNA and the reflectometer results.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
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: -Sensor Phenomenology, Modelling, and Evaluation -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 -Sensor Packaging -Sensor Networks -Sensor Applications -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
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