Wireless position sensing and normalization of embedded resonant sensors using a resonator array
Wireless position sensing and normalization of embedded resonant sensors using a resonator array
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DOI：
10.1016/j.sna.2020.111853
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发表时间：
2020-03-01
影响因子：
4.6
通讯作者：
Reuel, Nigel F.
中科院分区：
文献类型：
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作者：
Chan, Yee Jher;Carr, Adam R.;Reuel, Nigel F.
在这项工作中，四个正方形，具有独特的频率窗口的平面谐振器被用来形成一个2 × 2的阵列，用于无线位置确定和标准化的位置相关的，嵌入式谐振传感器。首先，在8100个位置处收集5个垂直条21个垂直条的增益和相位数据的主表。自动脚本提取特征增益和相位峰值，并使用三次插值将主表扩展到7，157，160个唯一角度和坐标位置。然后通过将其S垂直条21垂直条测量值与该表进行比较来确定未知位置。为了进一步提高位置精度，在线性飞越轨迹上收集多个测量值。使用该方法预测的位置偏离真实值的平均值和标准差分别为3.2 mm和2.3 mm。为了测试位置相关传感器的归一化，将螺旋谐振传感器放置在正方形阵列下方。使用传感器表面上的不同量的水来调制传感器信号。使用四个不同的飞越轨迹确定校正的阅读，使用位置阵列数据基于位置调整信号。我们发现，归一化信号的平均误差在较低的水体积（0.5 mL）和较高的水体积（2.0 mL）在0.04至0.15 MHz和-0.53至-0.74 MHz之间。在其当前状态下，位置阵列可用于资产跟踪或反馈控制，传感器归一化可用于提高嵌入式传感器的测量精度。该技术可以通过使用自动化系统收集更准确的主校准数据来进一步改进。(C)2020爱思唯尔B. V.保留所有权利。
In this work, four square, planar resonators with unique frequency windows were used to form a 2 by 2 array for wireless position determination and normalization of position-dependent, embedded resonant sensors. First, a master table of 5 vertical bar 21 vertical bar gain and phase data was collected at 8100 positions. Automated scripts extracted the characteristic gain and phase peaks and used cubic interpolation to expand the master table to 7,157,160 unique angle and coordinate positions. An unknown position is then determined by comparing its S vertical bar 21 vertical bar measurements to this table. To further improve the position accuracy, multiple measurements are collected on linear flyby trajectories. The average and standard deviation of predicted position offset from true value using this method were 3.2 and 2.3 mm, respectively. To test normalization of a position dependent sensor, a spiral resonant sensor was placed underneath the square array. The sensor signal was modulated using varying amounts of water on the sensor surface. A corrected reading was determined using four different flyby trajectories using the position array data to adjust the signal based on position. We found that average errors of the normalized signals were between 0.04 to 0.15 MHz at lower water volume (0.5 mL) and -0.53 to -0.74 MHz at higher water volume (2.0 mL). In its current state, the positional array can be used for asset tracking or feedback control and the sensor normalization can be used to improve the measurement accuracy of embedded sensors. This technique can be further improved by collecting more accurate master calibration data using an automated system. (C) 2020 Elsevier B.V. All rights reserved.