时间尺度域匹配滤波器的设计与实现
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摘要
根据地震褶积模型,设计并实现了应用于探地雷达回波信号检测的时间尺度域匹配滤波器,利用小波变换的时间定位性和尺度伸缩性,检测出雷达接收信号中单个反射子波的位置与强弱信息,利用已知的雷达发射子波模型还原回波信号,达到了滤除噪声、最佳接收的目的.通过用传统相关匹配滤波方法和本方法对探地雷达接收数据进行比较试验发现:当信噪比比较低时,传统方法已经不能准确地检测出雷达子波,而本方法仍能准确的检测出90%的雷达子波.这表明,本方法具有更好的子波检测和滤波性能.
According to the seismic convolution model, a kind of matched filters in time-scale domain is designed for echo signal detection of Ground Penetrating Radar (GPR) and implemented in this paper, which is applied to detect the location and amplitude of single reflection wavelet in receiving signal through continuous wavelet transform. Then the radar-transmitting wavelet is used to revert to the echo signal. Finally, through the experiment on the practical data of Ground Penetrating Radar, we proved the feasibility of the algorithm and gained an advantage over the classic matched filtering, that is, when the classic algorithm is not available, 90 percent of the wavelet can be detected accurately using our algorithm.
引文
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