Filtration of one-second observations from vector and scalar magnetometers based on approximation piecewise linear models

Joint filtration of one-second observations on a system of vector and scalar magnetometers is considered. The filtration provides a reduction of errors in estimates for components of geomagnetic field strength vectors. A formulation for the problem of joint data filtration is proposed based on using approximation piecewise linear models, and a higher speed filtration algorithm is developed. The results of joint filtration of one-second observations are presented. Errors in the proposed filtration on the basis of statistical modeling are estimated.