轻轨锚固螺杆单位脉冲响应信号的稀疏径向基函数网络提取

轻轨锚固螺杆是轻轨交通中连接轨道梁和墩台的关键受力部件，脉冲响应函数的提取是其健康监测的关键和核心技术。引入稀疏优化算法取代经典径向基网络的最小二乘法，构建网络的输入输出方案，引入二维DCT基对学习权值矩阵进行稀疏表示并通过正交匹配追踪算法来获得尽可能稀疏的网络训练权值。将单位脉冲激励信号输入该网络即可获得系统的单位脉冲响应函数。实验结果表明，所构建的稀疏径向基网络能准确提取单位脉冲响应函数，对工程应用具有参考价值。

Extraction of Unit Pulse Response Function Based on Sparse RBF Network Applyed in Rail Anchor Screw

Light rail anchoring screw is a key force component for connecting rail girder and piers.The extraction of the impulse response function is the key premise and the core technology to the screw anchor's health monitoring.Sparse optimization solution was introduced to replace the RBF network's classical least square method.The sparse RBF network with input and output calculation scheme was constructed.Two-dimensional DCT-basis was introduced to represent the weight and the orthogonal matching pursuit(OMP) algorithm was used to get sparser network weights training value.A unit excitation signal was taken as the network's input and the output of the network was the unit impulse response function of the system.The experiments show that optimization solution of the RBF network in the paper can accurately extract the impulse response function.The work herein has reference value in engineering applications.