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Wood grain angle estimation in logs with microwave modelling

机译:微波建模日志中的木粒角估计

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We study the detection of the wood grain angle using microwaves in order to avoid twist in finished boards. For such a determination of spiral grain, we exploit the anisotropic dielectric properties of wood affecting the polarization of an electromagnetic field. A cylindrical model is used for calculating the electromagnetic scattering from a wooden log. In the model, the material has anisotropic dielectric properties, and is considered homogeneous. Furthermore, the grain angle is small and modelled without radial dependence.Based on the model, we present a measurement strategy using a linearly polarized incident plane wave without z-dependence, together with sensors placed close to the log. The grain angle can be estimated, also when the effect of the cylindrical geometry is substantial, through a comparison between the measured and the calculated field. No information on the log except its radius is required; the moisture content can, e.g., be unknown. We apply the Cramér Rao Lower Bound, to present error estimates for the determined grain angle as well as for the dielectric parameters.
机译:我们使用微波来研究木材角的检测,以避免成品板的扭曲。对于这种螺旋晶粒的这种测定,我们利用影响电磁场极化的木材的各向异性介电性质。圆柱形模型用于计算木制日志的电磁散射。在该模型中,该材料具有各向异性介电性能,并且被认为是均匀的。此外,谷物角度小且模拟而没有径向依赖性。基于该模型,我们在没有Z依赖的情况下使用线性偏振的入射平面波提出了测量策略,与靠近日志的传感器一起使用。还可以估计谷物角度,当圆柱形几何形状的效果是基本的,通过测量的场和计算的场​​之间的比较。没有关于日志的信息,除了其半径是必需的;水分含量可以是未知的。我们将CramérRAO下限应用于确定粒度的误差估计以及介电参数。

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