Digital Piezoelectric Gyroscope Designand Signal Processing

In the study of intelligent vehicle, When the vehicle turns and GPOS compensation,chassis control,we need to collect the signal of posture ( angle, angular acceleration andangular velocity ) . As an angular rate sensor, Gyroscope plays an important role in thegesture signal acquisition. This paper refer to a large number of literature, we choice ENC-03MA series ofpiezoelectric vibration gyroscope chip made in Murata, through studying of the piezoelectricgyroscope structure principle, working principle and characteristics of signal. Base on thegyro chip ,was designed the digital conversion circuit..The circuit consists of a hardware filtercircuit and amplification,integral,differential and A/D conversion circuit,use these circuit canfilter out the Dccomponent of the gyro output signal and high frequency noise,andamplification the output signal,and conver the gyro output analog signal to digital signal,andso on.Studies the principle and algorithm of filtering. Using theoutput signal of the originaldrift data establish aARMAmodel，and using the classical Calman filter method forfiltering process. Comparing the original drift signal variance with a residual signal variance,we conclude the Calman filter can effectively suppress noise and improve the precision ofgyroscope. But actual signals are mostly nonlinear. Aiming at this problem, this paper studiesthe nonlinear filter based on particle filter algorithm. and the model of nonlinearfiltering-ARMA (1,1,1) was established,after working out original drift signal variance. Andit will be rewritten for the particle filter algorithm of the system state equation andmeasurement equation. Lastly, The PF particle filter algorithm used for noise reduction.According to the signal variance and several other contrast, we can see it clearly that has theadvantage in improving the precision of gyroscope. It also provides us a new idea in proving precision a low accuracy gyroscope.