Principle of t he forward linear prediction ( FL P) is int roduced. How to destine all parameter s of t he FL P by an adaptive met hod is given. A silicon gyroscope static drif t and t he dynamic measurement is processed by FL P. The Allan variance and t he standard variance is used to compare t he filtering result . The error and it s dist ribution is listed. The FL P is compared with t he median2wavelet filtering. The result shows t hat the FL P is superior to t he median2wavelet in the de2noise effect and real2time and so on.

ResearchofForwardLinearPredictiononProcessingofSiliconMicrogyroscopeSignal.pdf

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