【摘要】 分析铁路路基雷达探测数据失真的主要原因,参考雷达探测在其他领域里的应用成果,设计相应的数据处理方法,最大限度地消除其影响。对轨枕中钢筋形成的多次波反射,采用抛物线拉冬变换法消除。对铁路沿线设施和通讯工具产生的随机噪声,采用小波域KL变换的方法去除。为弥补雷达探测剖面图对薄层和深层分辨率的不足,采用高通滤波和瞬时相位法加以提高。分别设计相应的数据处理算法步骤,采用VC和MATLAB混合编程技术实现。对2000年沪宁线路基雷达检测数据处理的结果表明:设计的数据处理方法具有计算速度快、通用性强、参数少的特点;处理后的雷达探测数据图像深部信号强、界面分层清晰,显示病害位置突出。更多还原

【Abstract】 In this paper the reason for GPR data distortion and the results of GPR’s application in some fields were analyzed.The data processing method adapted for GPR detection of railroad subgrade was designed to reduce the effects.Parabolic Radon transform was used for eliminating the effect from railway sleepers. KL transform in wavelet domain was applied for removing random noise from railroad facilities and communications.High-passing filtering and instantaneous phase were chosen to improve the resolution of deep and thin layers.The algorithms were designed separately to realize the data processing and programmed by a hybrid code of VC and MATLAB.The GPR data for Shanghai-Nanjing Railway subgrade in the year of 2000 was processed by using this algorithm.The results indicated that the data processing algorithm was good for the characteristics of high-speed computation, general-purpose,and less-parameters.After the processing,the GPR image showed strong signals in depth,clear interfaces,and defects positions.更多还原