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FOG is a novel angular rate sensor relative to the conventional gyroscope, no moving parts and wear parts, with high reliability, long life, small size, light weight, low power consumption, large dynamic range, fast start, the frequency range width, etc., it is widely used in aviation, aerospace, marine, and other fields. FOG working principle, structural characteristics and work environment impact, output signal contains a large number of random noise. FOG signal denoising by digital signal processing methods, is to improve the measurement accuracy is an effective measure. Traditional denoising method is based on non-overlapping views of the signal and the noise spectrum of the classical filtering theory, by setting a low pass, high pass filter to weed out the noise outside the filter band, when the signal and noise spectral overlap is more severe, it is difficult to achieve than good denoising. In addition, due to individual differences, the FOG before using their various properties of the standard tests. Traditional testing methods using manually, less efficient, heavy workload. Solve the above problem, this paper first a comprehensive summary and analysis of the the FOG performance evaluation and test methods carried. Depth study of the FOG time series modeling theory, based on the Kalman filter FOG signal denoising. Wavelet transform and threshold denoising theory carried out in-depth research and engineering applications perspective based on the sliding window real-time wavelet denoising improvements proposed a fast wavelet decomposition method, based on real-time application of wavelet denoising FOG signal denoising. Verified by a large number of experimental analysis and comparison, two denoising method has better denoising effect. On the basis of theoretical studies, designed FOG test analysis platform program, and use the graphical programming language LabVIEW as the development tools, research and analysis FOG test platform. The platform can achieve the FOG performance calibration, performance analysis, real-time signal denoising FOG North functionality of the application can be completed at the same time. The platform provides better performance testing and analysis means for FOG, has important value in engineering.
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