Volume 6, Issue 1, February 2022     |     PP. 1-14      |     PDF (907 K)    |     Pub. Date: January 14, 2022
DOI: 10.54647/isss12146    70 Downloads     3219 Views  


A. Zbrutsky, National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine
V.Meleshko, National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

The possibilities of using the Kalman filter for cleaning (filtering) signals from gy-roscopes and accelerometers of a strapdown inertial navigation system (SINS) with a rough initial alighnment on a fixed base are considered. For this, algorithms for averaging filters with forward and backward computations (forward and backward filters) are proposed. It is shown that with a relatively short recording of the signal (30 s), in comparison with the simple average of the signal, it is possible to signifi-cantly, practically to zero, reduce the influence of the measurement noise. This is achieved by successively applying forward and then backward filters. The results were obtained both in the modeling of filtration and in the field experiment of the initial alighnment.

strapdown inertial navigation system (SINS), Coarse initial alighnment , Kalman filter

Cite this paper
A. Zbrutsky, V.Meleshko, FILTERING A SIGNAL FROM NOISE AT A SINS COARSE INITIAL ALIGNMENT , SCIREA Journal of Information Science and Systems Science. Volume 6, Issue 1, February 2022 | PP. 1-14. 10.54647/isss12146


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