摘要
基于探地雷达信号传输机理,建立了超宽带探地雷达宽带回波模型,揭示了多谱分量对目标回波信号特征提取与材质识别的影响。超宽带探地雷达由于回波信号信息丰富的特点,特征向量的选取成为目标识别的关键。利用子波变换在宽相关处理中的应用,对回波信号进行滤波和典型数据提取。提取纵向和横向典型数据用于目标形状识别;提取回波道数据进行Welch功率谱分析,用于目标材质识别。
Based on the mechanism of radar signal transmission, the model of ultra-wideband ground-penetrating radar（UWB GPR） broadband echo was established, which revealed the effect of multi-frequency component on target echo signal feature extraction and material recognition. Because of abundant information in the signal echo of UWB GPR, signature extraction become the key of automatic target recognition. In this paper, the wideband correlation processing which is realized by wavelet transform was employed to filter and extract the typical data. The shape of target was recognized by extraction the longitudinal and transverse typ- ical data, and the composition of target is classificated by the power spectrum of the echo.
出处
《电子技术应用》
北大核心
2009年第5期112-115,共4页
Application of Electronic Technique
关键词
超宽带探地雷达
功率谱
信息处理
宽相关处理
匹配滤波
UW-GPR
power spectrum
signal processing
wideband correlation processing
matching filtering
