Field programmable gate array-based (FPGA-based) vehicle vibration signal wave filtering device

Abstract

The invention discloses a field programmable gate array-based (FPGA-based) vehicle vibration signal wave filtering device, which is characterized in that: a reference noise signal x(n) is switched into an input end of a first register, a noisy vibration signal d(n) is switched into an input end of a second register, an output signal x(n) of the first register is switched into an input end of a wave filter, an error signal e(n-1) outputted by a subtracter is respectively switched into an input end of a third register, a second input end of the wave filter and an input end of a variable step size factor calculation circuit, an output signal variable step size factor Mu(n-1) of the variable step size factor calculation circuit is switched into a third input end of the wave filter, an output signal d(n) of the second register is switched into an input end of the subtracter, a filtered reference noise signal y(n) which is outputted by the wave filter is switched into another input end of the subtracter, and the third register outputs a vehicle vibration signal after being filtered. An algorithm referred by the device has the advantages of fast calculating speed, fast convergence speed, high real-time performance, good filter effect and the like, so the real-time processing requirement of the signal can be satisfied.

Description

technical field [0001] The invention relates to a noise elimination device, in particular to a filter device for vehicle vibration signals under the background of vehicle noise. Background technique [0002] The accuracy and precision of vehicle vibration signal collection, which is the driving status data of dangerous goods vehicles, is the prerequisite for reliable results obtained by fusion analysis of vehicle attitude data. Acceleration sensors are commonly used to judge the vehicle attitude by the vehicle's pitch, roll angle and acceleration signals in three directions. In the vehicle environment, the acceleration sensor is easy to drift due to the mechanical rotor and other excitation sources during the measurement process. Real vibration signals are often severely disturbed. If such vibration signals are used directly, large errors will occur in subsequent analysis, which will bring great difficulties to the final data analysis and decision-making. Therefore, it is ne...

AI Technical Summary

Problems solved by technology

[0004] The current filtering methods are implemented by hardware such as software or DSP. Due to the slow speed of the software, it is difficult to process real-time signals. The power consumption of the DSP chip is large, and the processing capacity is limited by the main frequency. It cannot meet the high-speed and real-time requirements of the system

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