mmMC: A Contactless Wood Moisture Content Measurement System based on COTS FMCW mmWave Radar

Estimation of wood moisture content (MC) is a fundamental aspect of woodworking, construction, and various other industries that rely on the versatile properties of wood. In this paper, we present mmMC, a novel system that estimates the MC of wood by a single commercial off-the-shelf (COTS) mmWave radar, which provides accurate end-to-end real-time wood moisture measurement results while being non-invasive, portable, and flexible in deployment. The proposed system uses a novel target reflection feature (TRF) to determine the reflectivity of the wood, thereby correlating it with specific MC levels. To robustly and accurately estimate the TRF of the wood from the mmWave signal, a signal processing pipeline is proposed. Specifically, an object detection and signal extraction module is designed to resolve the range of the object and eliminate multipath effects of the original signal. Then, a multiple chirps/antennas signals processing module is proposed to obtain a stable TRF from the extracted signals by using signals from different antennas and chirps. The TRF is associated with the MC of wood by a regression to enable real-time MC estimation. Through extensive real-world experiments, we have demonstrated that the proposed system has high accuracy and reliability.

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Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/secon64284.2024.10934908
Citations
1
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.35

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article

mmMC: A Contactless Wood Moisture Content Measurement System based on COTS FMCW mmWave Radar

Tao Shu, Xueyang Hu, Minarul Islam, Tian Liu
1 citations
Biometric Identification and Security
0.35
article

mmMC: A Contactless Wood Moisture Content Measurement System based on COTS FMCW mmWave Radar

Tao Shu, Xueyang Hu, Minarul Islam, Tian Liu
article en
1 citations

Abstract

Estimation of wood moisture content (MC) is a fundamental aspect of woodworking, construction, and various other industries that rely on the versatile properties of wood. In this paper, we present mmMC, a novel system that estimates the MC of wood by a single commercial off-the-shelf (COTS) mmWave radar, which provides accurate end-to-end real-time wood moisture measurement results while being non-invasive, portable, and flexible in deployment. The proposed system uses a novel target reflection feature (TRF) to determine the reflectivity of the wood, thereby correlating it with specific MC levels. To robustly and accurately estimate the TRF of the wood from the mmWave signal, a signal processing pipeline is proposed. Specifically, an object detection and signal extraction module is designed to resolve the range of the object and eliminate multipath effects of the original signal. Then, a multiple chirps/antennas signals processing module is proposed to obtain a stable TRF from the extracted signals by using signals from different antennas and chirps. The TRF is associated with the MC of wood by a regression to enable real-time MC estimation. Through extensive real-world experiments, we have demonstrated that the proposed system has high accuracy and reliability.

ZheJiang Academy of Agricultural Sciences (CN), Peng Cheng Laboratory (CN), Auburn University (US)
National Science Foundation
Openalex Percentile: Top 38%
Biometric Identification and Security
0.35
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mmMC: A Contactless Wood Moisture Content Measurement System based on COTS FMCW mmWave Radar — Tao Shu, Xueyang Hu, et al. · (2024) | TGRS Research Map | TGRS