V. M. Achildiev, M. A. Basarab, N. A. Bedro, Yu. K. Gruzevich, B. S. Lunin, V. A. Matveev, V. A. Soldatenkov, S. P. Timoshenkov, Yu. A. Chaplygin, A. V. Yurin

Increase of operating accuracy of modern primary information sensors can be achieved due to the use of effective algorithms of digital signal processing. In the article, application of some methods for digital processing of signals of the micromechanical solid-state wave gyro is considered. Among the possible approaches the following techniques are studied. The Fourier method for filtration of specific harmonics of a signal is a classical method, widely being used in practice of digital signal processing. This method allows revealing benefits and disadvantages of other techniques. In particular, the wavelet analysis is one of the possible alternatives of the Fourier method, which allows localization both in frequency and time domains. Some specific types of wavelets for processing data of the micromechanical solid-state wave gyro are proposed. The simplest way for processing information represented in the form of a discrete set of samplings is based on data averaging. However, in modern literature the main sources regulating methods and algorithms of adjusting, calibration, and processing signals of primary information sensors of navigation systems are the IEEE standards. In these standards, for analysis of different types of noises in sensors, the Allan variance technique is recommended to use instead of the ordinary averaging algorithms. In the article, for the first time this approach is applied for processing data of micromechanical solid-state wave gyro placed both on the rotating and unmoved basement. Algorithms considered in the work can be applied for digital signal processing of other sensors of primary informaton including vibratory and fiber-optic gyroscopes, micromechanical accelerometers et al.