【作者】 梁旭斌； 许学忠； 赵天青； 蔡宗义；

【Author】 LIANG Xu-bin;XU Xue-zhong;ZHAO Tian-qing;CAI Zong-yi;Northwest Institute of Nuclear Technology;

【机构】 西北核技术研究所；

【摘要】 针对噪声环境比较复杂及信噪比较低时现有车辆检测算法效果较差的问题,本文提出了一种基于Gammatone滤波器的车辆声信号检测算法。根据车辆噪声的频率特性选择合适的Gammatone滤波器组,结合信号的时域信息,利用短时能量检测方法对车辆进行检测。通过一定实测信号检测结果对比,算法抗噪性能好,可检测出低信噪比下的目标,检测准确性高,加之可根据目标频率特性选择滤波器组而具有的灵活性,具有一定的实用价值。更多还原

【Abstract】 In order to solve the relatively unsatisfactory performance of existing algorithm under complex noise environment or low SNR,a new detection algorithm for vehicle acoustic signal based on Gammatone filters is proposed.Choose appropriate Gammatione filter banks according to frequency-domain properties of vehicle noise and detect the target through short time energy with time-domain properties.The results from some experiments with actual signals with the proposed algorithm show robustness to noise and ability to detect targets under low SNR condition precisely.Besides,the algorithm can be adjusted to features of the targets by combining various filter banks accordingly.This flexibility also increases its practical value.更多还原