连续小波变换在探地雷达信号分析中的应用研究

摘要

Thought widely applied in engineering exploration, the GPR's detecting section is difficult to have a better response to the relatively deep a-nomalies because of some influencing factors such as the rapid decay of high-frequency electromagnetic waves transmitted from GPR in a medium and the large environmental noise, etc. Though using of complex signal analysis to extract three instantaneous parameters can analyze signals in multiple perspectives and highlight the weak reflection information, it is very vulnerable to noise interference, in addition, the conventional filtering method cannot remove the interference effectively. Therefore, by introducing the wavelet transform of dual limitations of time-frequency into complex signal analysis, the issue that complex signal analysis is susceptible to noise will be solved, and its ability to extract anomaly will be restored as well. Putting this algorithm into actual GPR detecting data, satisfying application effect turns out.%广泛应用于工程勘探的探地雷达,由于其发射的高频电磁波在介质中迅速衰减、受环境噪声大等因素影响,探测剖面难以对相对较深的异常体有较好的响应.复信号分析提取三瞬参数可多角度分析信号,并能突出弱反射信息,但易受噪声干扰,且常规的滤波方法不能有效地去除这一干扰.将具有时～频双重局限性的小波变换引入到复信号分析中,解决了复信号分析易受噪声干扰的问题,恢复了其对异常提取的能力.将此算法用于实际雷达探测数据处理中,取得了良好的应用效果.