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Capaciflector sensor data interpretation using the constrained deconvolution algorithm

机译:使用约束反褶积算法的电容传感器数据解释

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Abstract: aciflector, a capacitive proximity sensor, is being developed by NASA for collision avoidance. Capaciflector provides a single output value as measure of altered base frequency. This value is a characteristic of an external object in the sensor's field of view. An attempt is made to use the Capaciflector for imaging with operating range from 1 to 2 inches. By positional arrangement of sensors in a grid pattern and electronic activation of sensors over the grid one at a time an object characteristic image is obtained. The constrained deconvolution algorithm had been implemented for discrete image restoration. Restored image can then be used to determine object shape and orientation in addition to object distance from the sensor. This will facilitate the Capaciflector sensor model refinement and sensor data interpretation for space applications. The article describes the Capaciflector experimental imaging system and preliminary results obtained by the system. !6
机译:摘要:NASA正在开发一种电容式接近传感器aciflector,用于避免碰撞。 Capaciflector提供单个输出值,作为衡量基准频率变化的指标。该值是传感器视野中外部物体的特征。尝试使用Capaciflector进行工作范围为1到2英寸的成像。通过以网格图案定位传感器并在网格上电子激活传感器,一次获得对象特征图像。约束反卷积算法已实现用于离散图像恢复。然后,除了物体与传感器的距离之外,还原的图像还可用于确定物体的形状和方向。这将有助于Capaciflector传感器模型的完善和传感器数据在太空应用中的解释。本文介绍了Capaciflector实验成像系统以及该系统获得的初步结果。 !6

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