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Estimating Parameters of Non-convex Target Object Using Networked Binary Sensors

机译:使用网络二值传感器估计非凸目标对象的参数

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A parameter estimation method for a target object in an area that sensors monitor is described, where the parameters to be estimated are the perimeter length, the size, and a parameter determined by the interior angles of the target object. The estimation method does not use sensor location information, only the binary information on whether each sensor detects the target object. First, the sensing area of each sensor is assumed to be line-segment-shaped, which is a model of an infrared distance measurement sensor. Second, based on the analytical results of assuming line-segment-shaped sensing areas, we developed a unified equation that works with general sensing areas and general target-object shapes to estimate the parameters of the target objects. Numerical examples using computer simulation show that our method yields accurate results.
机译:描述了用于传感器监视的区域中的目标物体的参数估计方法,其中要估计的参数是周长,大小和由目标物体的内角确定的参数。估计方法不使用传感器位置信息,而仅使用有关每个传感器是否检测到目标物体的二进制信息。首先,假设每个传感器的感测区域为线段形,这是红外测距传感器的模型。其次,基于假设线段形状的感应区域的分析结果,我们开发了一个统一的方程式,该方程适用于一般的感应区域和一般的目标物体形状,以估计目标物体的参数。使用计算机仿真的数值示例表明,我们的方法产生了准确的结果。

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