A Wheel Speed Sensor Output Signal Processing Technology Which Based On Data Fusion Theory

Dual-sensor wheel speed sensor output signal acquisition Platform mainly consisted of hardware and software. Connect the hardware components,design the program by VisualBasic, by that it's can do data collection, display and storage. There are two sensor in the systom, so the wheel speed sensor output signal are more comprehensive. The platform can simulate the constant speed and braking condition, so as to apply data to the theory of data fusion.There are many ways to react the data fusion , the paper briefly describes two kinds of filter structures, namely centralized and decentralized filtering structure.And analyzed how the centralized filter work on wheel speed sensor output signal processing, process the wheel speed sensor output signal with the centralized filter method,analysis and compare the results.Centralized fusion filtering theory is quite a simple data fusion approach.It send all sensors' information to one fusion center, centralized processing data ,so it's able to completely save the original information of wheel speed sensor output signals.The effect of the theory is better than some other theory. The method can remove the noise information form the wheel speed sensor output signal but retain the original features, so it is a desirable filtering mode.