Design of Plasma Diagnostic System Based on Linear Frequency-Modulated Continuous Wave

In this study, a plasma diagnostic system based on linear frequency-modulated continuous wave (LFMCW) is designed to calculate the electron density by determining the change of electromagnetic wave propagation time delay. The system adopts a swept microwave interferometry method to accurately measure the effect of plasma on the propagation time delay and solves the problem of phase-periodic ambiguity in the traditional microwave diagnostic method. This article describes the system design, including hardware selection, signal processing flow, and system simulation. Experiments show that the system can effectively diagnose high electron density plasma.

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Publication Details

Journal
IEEE Transactions on Plasma Science
Published
2025-04-16
DOI
https://doi.org/10.1109/tps.2025.3555270
Citations
2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
1.35

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article

Design of Plasma Diagnostic System Based on Linear Frequency-Modulated Continuous Wave

Chengwei Zhao, Gang Cao, Chao Sun, M.S. Liang
2 citations
IEEE Transactions on Plasma Science
Non-Invasive Vital Sign Monitoring
1.35
article

Design of Plasma Diagnostic System Based on Linear Frequency-Modulated Continuous Wave

Chengwei Zhao, Gang Cao, Chao Sun, M.S. Liang
article en
2 citations

Abstract

In this study, a plasma diagnostic system based on linear frequency-modulated continuous wave (LFMCW) is designed to calculate the electron density by determining the change of electromagnetic wave propagation time delay. The system adopts a swept microwave interferometry method to accurately measure the effect of plasma on the propagation time delay and solves the problem of phase-periodic ambiguity in the traditional microwave diagnostic method. This article describes the system design, including hardware selection, signal processing flow, and system simulation. Experiments show that the system can effectively diagnose high electron density plasma.

IEEE Transactions on Plasma ScienceVol. 53(5)
Xidian University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 21%
Non-Invasive Vital Sign Monitoring
1.35
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Design of Plasma Diagnostic System Based on Linear Frequency-Modulated Continuous Wave — Chengwei Zhao, Gang Cao, et al. · IEEE Transactions on Plasma Science (2025) | TGRS Research Map | TGRS