Anti-Interference Technology of Surface Acoustic Wave Sensor Based on K-Means Clustering Algorithm
Anti-Interference Technology of Surface Acoustic Wave Sensor Based on K-Means Clustering Algorithm
复制标题
基于K-Means聚类算法的声表面波传感器抗干扰技术
DOI：
10.1109/jsen.2021.3052957
复制
发表时间：
2021-04-01
影响因子：
4.3
通讯作者：
Ji, Xiaojun
中科院分区：
文献类型：
--
作者：
Fan, Yanping;Liu, Yajun;Ji, Xiaojun
无源无线声表面波传感器的工作环境中存在着各种类型的干扰信号。在这些类型的干扰中，同信道干扰是难以抑制的。针对这一问题，提出了一种声表面波传感器抗干扰技术，以提高声表面波传感器的可靠性。采用小波去噪方法对声表面波谐振器（SAWR）响应信号进行去噪处理，可以保持声表面波响应信号的包络特性。建立了声表面波响应信号的熵能量模型，并利用所提出的熵能量函数提取信号包络。采用波形包络和熵能量曲线作为信号特征，形成二维点。采用K-Means算法对二维点进行分类，以区分声表面波响应和正弦干扰。仿真结果表明，当信噪比大于4dB时，声表面波响应的检测率可达85%以上，而正弦干扰信号的误检率小于8%。最后，将该算法应用于实际声表面波响应和正弦干扰信号的检测。实验结果表明，该方法可以很好地区分声表面波响应和同频干扰信号。此外，该方法可作为抗干扰技术，以提高SAW传感器的稳定性。
Various types of interference signals are available in the working environment of passive wireless surface acoustic wave (SAW) sensors. Among these kinds of interference, co-channel interference is difficult to suppress. To solve this problem, a SAW sensor anti-interference technology was proposed to improve the reliability of the SAW sensor. Wavelet denoising method was used to denoise SAW resonator (SAWR) response, which can maintain the envelope characteristics of the SAW response. The entropy energy model of the SAW response signal was established, and the signal envelope was extracted from the proposed entropy energy function. The waveform envelope and the entropy energy curve were adopted as the signal characteristics to form two-dimensional points. The K-Means algorithm was used to classify the two-dimensional points to distinguish the SAW response from sinusoidal interference. Simulation results showed that the SAW response can be detected with a rate of more than 85% when the signal-to-noise ratio was greater than 4 dB, whereas the false detection rate of the sinusoidal interference signal was less than 8%. Finally, the proposed algorithm was used to detect the actual SAW response and sinusoidal interference signal. The experimental results showed that the proposed method can clearly distinguish the SAW response from the co-channel interference signal. Moreover, the proposed method can be used as the anti-interference technology to improve the stability of the SAW sensor.