自适应滤波算法在车辆宽高检测系统中的应用研究

Application of adaptive filtering algorithm in vehicle width-height detection system

车辆宽高检测系统采用激光测距的原理对车辆的宽高进行检测,其测量所得数据中参杂有高斯白噪声。为滤除测量数据中的高斯白噪声,将基于最小均方误差的自适应滤波算法应用于宽高仪的数据处理过程中,并通过Matlab中自带的自适应函数将其实现。通过仿真波形及实验测试数据表明:滤波效果明显,能将测量误差全部控制在5cm之内。因此,自适应滤波算法能够行之有效地应用于宽高检测系统中,达到提高其测量精度的目的。

The principle of laser ranging was used for vehicle width-height detection system whose data were mixed with Gauss white noise. In order to filter the Gauss white noise in the measured data, the adaptive filtering algorithm based on minimum mean square error was used in the data processing, and it was realized by adaptive function in matlab. Simulation waveforms and experimental test data show that the filtering effect is obvious and the measurement errors are controlled within 5 cm. Therefore, adaptive filtering algorithm can be used in width-height detection system effectively, and it can improve the measurement accuracy.