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Design of a Base Station for MEMS CCR Localization in an Optical Sensor Network

机译:光传感器网络中用于MEMS CCR定位的基站的设计

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摘要

This paper introduces a design and implementation of a base station, capable of positioning sensor nodes using an optical scheme. The base station consists of a pulse laser module, optical detectors and beam splitter, which are mounted on a rotation-stage, and a Time to Digital Converter (TDC). The optical pulse signal transmitted to the sensor node with a Corner Cube Retro-reflector (CCR) is reflected to the base station, and the Time of Flight (ToF) data can be obtained from the two detectors. With the angle and flight time data, the position of the sensor node can be calculated. The performance of the system is evaluated by using a commercial CCR. The sensor nodes are placed at different angles from the base station and scanned using the laser. We analyze the node position error caused by the rotation and propose error compensation methods, namely the outlier sample exception and decreasing the confidence factor steadily using the recursive least square (RLS) methods. Based on the commercial CCR results, the MEMS CCR is also tested to demonstrate the compatibility between the base station and the proposed methods. The result shows that the localization performance of the system can be enhanced with the proposed compensation method using the MEMS CCR.
机译:本文介绍了一种基站的设计和实现,该基站能够使用光学方案定位传感器节点。该基站由安装在旋转台上的脉冲激光模块,光检测器和分束器以及时间数字转换器(TDC)组成。使用角Corner后向反射器(CCR)传输到传感器节点的光脉冲信号被反射到基站,并且可以从两个探测器获得飞行时间(ToF)数据。利用角度和飞行时间数据,可以计算传感器节点的位置。通过使用商用CCR评估系统的性能。传感器节点与基站的摆放角度不同,并使用激光进行扫描。我们分析了由旋转引起的节点位置误差,并提出了误差补偿方法,即离群样本异常和使用递归最小二乘(RLS)方法稳定地降低置信度。基于商用CCR结果,还对MEMS CCR进行了测试,以证明基站与所提出方法之间的兼容性。结果表明,采用MEMS CCR提出的补偿方法可以提高系统的定位性能。

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