基于TEM系统的回波处理技术应用

Application of echo processing based on TEM system

摘要:

为了提高瞬变电磁系统回波辨识，设计一种新型的波形相似度算法，对接收到的瞬变电磁系统回波数据进行分析处理。针对因各种干扰因素采样到的回波数据变得难以区分、辨识，传统的回波处理方法效果不理想的情况，从空间向量的角度出发，将采样点作为评价指标，利用熵权法设置指标权重，综合各个评价指标，提出一种新型的波形相似度算法。通过大量数据实验分析，该算法在回波辨识方面取得了不错的效果，对部分厚度的辨识准确度达到了90%，具有较好的实用价值。

Abstract:

In order to improve the identification of transient electromagnetic system echo, a new waveform similarity algorithm is designed to analyze and process the received transient electromagnetic system echo data. Aiming at the fact that the sampled echo data is difficult to distinguish and identify due to various interference factors, and the traditional echo processing method is not ideal, this paper takes the sampling point as an evaluation index from the perspective of space vector, sets the index weight by using entropy weight method, synthesizes various evaluation indexes, and proposes a new waveform similarity algorithm. Through a large number of experimental data analysis, the algorithm has achieved good results in the identification of echoes, and the identification accuracy of partial thickness has reached 90%, which has good practical value.