基于MUSIC谱估计的探地雷达回波处理方法

为了克服现有信号处理算法对探地雷达噪声及杂波滤除的不足,提出了一种基于MUSIC谱估计时域与频域联合滤波方法。利用常用的去直流波和均值滤波抑制方法进行雷达信号预处理,在此基础上,引入谱分析中信号子空间与噪声子空间的概念,将MUSIC算法与最小二乘法相结合来进行探地雷达杂波及噪声处理。仿真及实验结果表明,提出的回波处理方法可以有效地抑制雷达信号中的噪声和杂波,能提高测量数据的精度,具有较高的实用性和可用性。

A Signal Processing Method in GPR Data Based on MUSIC Algorithm

In order to overcome the shortcomings of existing signal processing algorithms in ground penetrating radar(GPR) noise and clutter filtering,a time-frequency domain joint filtering algorithm based on MUSIC spectrum estimation is proposed,which can be applied to GPR echoes data.The radar signal is preprocessed by using DC wave reduced and mean filtering methods,and then the concept of signal subspace and noise subspace in spectral estimation theory is introduced.The MUSIC algorithm is combined with the least square method to deal with GPR clutter and noise data.The results of emulation and certification show that the proposed GPR echo processing method can effectively suppress the noise and clutter in the radar signal,improve the accuracy of the measured data,and has high practicability and usability.