Abstract
An algorithm used in a finite-memory digital filter to estimate the low-frequency component of an output signal error in a laser gyroscope is described. In practice, this error component is called a drift, whereas its slow variation is said to be the drift instability. An important peculiarity of this algorithm is its greater level of high-frequency attenuation compared to the widespread filters based on the arithmetic mean algorithm. The frequency properties of these filters are compared.
References
R. W. Hamming, Digital Filters (Prentice-Hall, Englewood Cliffs, 1977; Sov. Radio, Moscow, 1980).
L. C. Ng, On the Application of Allan Variance Method for Ring Laser Gyro Performance Characterization, Technical Report UCRL-ID-115695 (Lawrence Livermore Natl. Lab., Livermore, 1993).
V. V. Tikhomirov, “Finite-Memory Digital Filters Based On Polynomial Approximation,” Vestn. Mosk. Univ. Ser. 1: Mat. Mekh., No. 2, 62–65 (2012) [Moscow Univ. Mech. Bull. 67 (2), 46–48 (2012)].
A. Savitzky and M. Golay, “Smoothing and Differentiation of Data by Simplified Least Squares Procedures,” Anal. Chem. 36(8), 1627–1639 (1964).
Author information
Authors and Affiliations
Additional information
Original Russian Text © V.V. Tikhomirov, 2013, published in Vestnik Moskovskogo Universiteta, Matematika. Mekhanika, 2013, Vol. 68, No. 6, pp. 66–69.
About this article
Cite this article
Tikhomirov, V.V. Finite-memory digital filters to estimate laser gyroscope drifts. Moscow Univ. Mech. Bull. 68, 152–155 (2013). https://doi.org/10.3103/S0027133013060058
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0027133013060058