基于小波变换的地铁移频信号特征自动提取系统设计

Design of subway frequency shift signal feature automatic extraction system based on wavelet transform

常规的地铁移频信号特征自动提取系统存在系统资源占用率过高的问题。为了改善常规系统中存在的不足,设计基于小波变换的地铁移频信号特征自动提取系统。首先确定系统硬件结构,根据其结构完成系统硬件设计,主要包括PNP信号传感器,CAN总线和TMS320C6713芯片;其次利用小波变换方法进行降噪和滤波处理,排除干扰信号完成软件设计;最后结合硬件和软件实现信号特征自动提取。测试结果表明,基于小波变换的地铁移频信号特征自动提取系统提取的信号有效滤除了噪声信号及干扰信号,该系统资源占用率与常规信号特征提取系统相比降低了32%,适合于地铁移频信号特征自动提取。

The conventional subway frequency shift signal feature automatic extraction system has the problem that the system resource occupancy rate is too high.In order to improve the deficiencies in the conventional system,an automatic extraction system for metro frequency shift signal features based on wavelet transform is designed.Firstly deternining the hardware structure of the system,the system hardware design is complted according to its structure,mainly including PNP signal sensor,CAN bus and TMS320 C6713 chip;secondly,wavelet transform method is used for noise reduction and filtering,eliminating interference signal to complete software design.Finally,combined with hardware and software,automatic extraction of signal features is realized.The test results show that the extracted signal of the automatic frequency shift signal feature extraction system based on wavelet transform effectively filters out the noise signal and the interference signal.The resource occupancy rate of the system is reduced by 32%compared with the conventional signal feature extraction system,which is suitable for the extraction of shift signal feature to the subway.