Computer-Simulated Performance Comparison of T-type and Π-type Network based Microwave Angular Displacement Sensors

In this paper, the T-type and Π-type network based microwave angular displacement sensors are compared and analyzed. By incorporating neural networks, one can optimize the design parameters of microwave sensors, enhance the evaluation of critical sensor performance indicators, including frequency response, linearity, sensitivity, bandwidth, and stability.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/asens64990.2025.11011210
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Computer-Simulated Performance Comparison of T-type and Π-type Network based Microwave Angular Displacement Sensors

Hong‐Xu Zhu, Zhongming Yang
Advanced Fiber Optic Sensors
article

Computer-Simulated Performance Comparison of T-type and Π-type Network based Microwave Angular Displacement Sensors

Hong‐Xu Zhu, Zhongming Yang
article en

Abstract

In this paper, the T-type and Π-type network based microwave angular displacement sensors are compared and analyzed. By incorporating neural networks, one can optimize the design parameters of microwave sensors, enhance the evaluation of critical sensor performance indicators, including frequency response, linearity, sensitivity, bandwidth, and stability.

Guangdong Polytechnic of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Advanced Fiber Optic Sensors
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