超宽带在煤矿井下穿透障碍物杂波信号的抑制方法

Method of inhibition clutter signal on ultra-wideband through obstacles under mine

传统的奇异值分解、主成分分析、独立成分分析等谱分析方法很难分离目标信号和杂波信号。根据煤矿井下杂波信号起伏较大的特点,利用经验模态分解与参考独立分量分析(ICAR)联合抑制超宽带在煤矿井下穿透障碍物杂波信号。仿真结果表明:改进的ICA-R方法抑制杂波效果显著,分离出的目标回波幅度得到提高,消除了杂波区域中起伏信号的影响。该方法可以抑制杂波对目标信号的影响,有效地分离出目标信号。

This paper introduces the combination of EMD and ICA-R as an improved alternative to conventional spectrum analysis methods such as singular value decomposition（ SVD）,principal component analysis（ PCA） and independent component analysis（ ICA）,which suffer from difficulties in separating the target signal and clutter signal. This combination works by inhibiting the clutter signal occurring in mines as when the ultra-wideband penetrates the obstacles and it is an improvement on the ICA-R as a solution to the grater clutter signal fluctuation occurring in mines. The simulation shows that the improved ICA-R provides a remarkable effect in inhibiting the clutter signal and the larger amplitude of separated target echo,thus contributing to the eliminated effect of clutter signal in clutter region. This method allows a better inhibition of the effect of clutter signal on target signal and an effective extraction of the target signal.