小波的信号突变点检测在车流量检测器中的应用

摘要

为了提高车流量检测器的精度，通过现场采样大量实验数据，建立车辆通过感应线圈时频率变化曲线的数学模型。采用小波变换对频率变化曲线的突变点进行分析，得到车流量检测的新方法。这种方法不但能有效的提高车流量的检测精度，而且为进一步通过车流量检测器实现对各种车型进行预分类提供了新的思路，具有相当的研究价值。分析过程中还对利用小波变换分析信号突变点的理论依据进行了描述，并介绍了小波基的选择方法。%In order to improve the detection accuracy of vehicle-flow detector, the mathematical model of frequency variation curve is established when vehicles passed a induction coil through sampling a large number of experimental data. A new method is gotten by analyzed the signal mutation detection of frequency variation curve base on wavelet transform. This method not only can effectively improve the detection accuracy of the vehicle-flow detectors, but also provided a new idea to carry on the preliminary classification of vehicles with the vehicle-flow detector. Furthermore, the theoretical foundation of signal mutation detection based on wavelet transform is described, and introduced the selection method of wavelet basis.