Free-space moisture prediction of small objects using m-sequences

H. Mextorf, J. Sachs, F. Daschner, M. Kent, R. Knöchel
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引用次数: 3

Abstract

This paper presents a method for the non-contacting moisture prediction of small objects using m-sequences. The objects under test are placed in a free-space transmission path. Their UWB impulse responses are captured using an m-sequence method which provides high signal quality by means of ultra low jitter and noise. The size of the objects is in the range of the coherence length and smaller than the footprints of the antennas. The impulse responses depend on the moisture content (dielectric properties) and the geometry. Multivariate calibration is applied in order separate these influences and to develop a statistical model for the moisture content. For the prediction of moisture content an accuracy of 0.55% was achieved while it was varied in a range between 4.3% and 23.4%.
利用m序列进行小物体自由空间水分预测
本文提出了一种利用m序列进行小物体非接触水分预测的方法。被测物体被放置在自由空间传输路径上。它们的超宽带脉冲响应采用m序列方法捕获,该方法通过超低抖动和噪声提供高信号质量。目标的尺寸在相干长度范围内,且小于天线的足迹。脉冲响应取决于水分含量(介电性质)和几何形状。为了分离这些影响并建立水分含量的统计模型,应用了多变量校准。对水分含量的预测精度为0.55%,而其变化范围为4.3% ~ 23.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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