利用连续波雷达估算土壤水分

IF 7.6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hui Huang , Kiyoshy Nakamura , Patricia Becerra , Jin Zhang , Tong Hao , Radu State
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引用次数: 0

摘要

这项工作介绍了SoilCW,一个低维护和成本效益的土壤湿度监测系统,使用紧凑和负担得起的连续波(CW)雷达技术。通过采用被动金属反射器,消除了对电池供电的地下传感器的需求,SoilCW有助于降低部署成本,并将土壤污染的风险降至最低。SoilCW的工作原理是雷达回波的相位变化与电磁波传播所经过的土壤的含水量有关。为了准确捕捉由土壤湿度引起的相位变化,SoilCW使用了两个接近主雷达频率的辅助频率来消除地面反射的影响,并解决了由于土壤中信号传播速度的显著变化而可能出现的相位模糊问题。本设计仅利用窄带宽,不需要现有工程中通常需要的天线阵列。SoilCW的原型是使用软件定义无线电(SDR)板开发的,在实验室环境、沙土和盆栽混合壤土以及粘土的现场环境中进行了广泛的评估,并考虑了不同的表面覆盖物,如地膜和岩石。结果表明,连续波雷达是一种低成本、高精度的土壤湿度监测方法。在实验室条件下,总体平均绝对误差约为1.91%,现场试验结果与专用工业级土壤传感器相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Soil moisture estimation using continuous wave radar

Soil moisture estimation using continuous wave radar
This work introduces SoilCW, a low maintenance and cost-effective soil moisture monitoring system that uses compact and affordable continuous wave (CW) radar technology. By employing passive metal reflectors to eliminate the need for battery-powered underground sensors, SoilCW helps reduce deployment costs and minimizes the risk of soil contamination. SoilCW operates on the principle that the phase change of radar echoes is related to the moisture content of the soil through which the electromagnetic (EM) wave propagates. To accurately capture the phase changes caused by soil moisture, the SoilCW uses two auxiliary frequencies close to the main radar frequency to eliminate the impact of ground reflection and addresses the phase ambiguity that can occur due to significant variations in signal propagation velocity within the soil. This design utilizes only a narrow bandwidth and does not require an antenna array, commonly needed in existing works. The prototype of SoilCW was developed using a software-defined radio (SDR) board, and extensive evaluations were conducted in laboratory environments, with sandy soil and potting mix loam, as well as field environments with clay soil, and considered various surface coverings such as mulches and rocks. The results show that CW radars are promising for low-cost and accurate soil moisture monitoring. The overall mean absolute error is approximately 1.91% under laboratory conditions, and the results obtained from the field experiments are comparable to those of dedicated industrial grade soil sensors.
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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