微带线间远端串扰下电路板故障信号检测

发布时间：2019-08-12 10:25

【摘要】：在高精度电路板上,电路上的微带信号线路相邻很近。在工作中,由于线路过于接近,形成较强的微带线间远端串扰。这种串扰对电路本身的故障信号的波形造成感染,使得故障信号形成非正常的信号衰减形变。传统的电路故障检测方法在微带线间远端串扰的影响下,对衰减信号提取出现较为明显的失真,为后期的故障信号判断带来难度,降低了故障检测的准确率。提出一种关联信号特征提取的微带线间远端串扰下电路板故障信号检测的优化算法。利用小波变换对微带线感染信号进行滤波,利用卡尔曼算法对故障信号的主成分进行提取,运用主成分的差异特征完成了电路板的故障信号检测。实验结果表明,利用优化算法进行微带线间远端串扰下的电路板故障信号检测,能够极大的提高对故障信号检测的准确性。
[Abstract]:On the high precision circuit board, the microstrip signal line on the circuit is very close to each other. In the work, because the line is too close, a strong far end crosstalk between microstrip lines is formed. This kind of crosstalk causes infection to the waveform of the fault signal of the circuit itself, which causes the fault signal to form abnormal signal attenuation deformation. Under the influence of remote crosstalk between microstrip lines, the traditional circuit fault detection method has obvious distortion to the attenuation signal extraction, which brings difficulty to the later fault signal judgment and reduces the accuracy of fault detection. An optimization algorithm for circuit board fault signal detection under remote crosstalk between microstrip lines is proposed. Wavelet transform is used to filter the microstrip line infection signal, Kalman algorithm is used to extract the principal component of the fault signal, and the difference feature of the principal component is used to complete the fault signal detection of the circuit board. The experimental results show that the accuracy of fault signal detection can be greatly improved by using the optimization algorithm to detect the fault signal of circuit board under remote crosstalk between microstrip lines.
【作者单位】：郑州升达经贸管理学院信息工程系;
【分类号】：TN911.23

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