UNIV. NEWS. NORTH-CAUCAS. REG. TECHNICAL SCIENCES SERIES. 2015; 1: 19-26
http://dx.doi.org/10.17213/0321-2653-2015-1-19-26
STOCHASTIC FILTERING NAVIGATION PARAMETERS OF MOVING OBJECTS USING INTEGRATION OF SATELLITE AND TRACKER MEASUREMENTS
Meerovich Vladimir Davydovich – post-graduate student, department «Automatics and Telemechanics on a Railway Transport», Rostov State University of Means of Communication, Rostov-on-Don, Russia. Ph. (863) 272-63-02. E-mail: s.v.s.888@yandex.ru
Dolgy Igor Davydovich – Doctor of Technical Sciences, department «Automatics and Telemechanics on a Railway Transport», Rostov State University of Means of Communication, Rostov-on-Don, Russia. Ph. (863) 272-63-02. E-mail mtn73@yandex.ru
Abstract
Modern algorithms for satellite navigation of mobile objects use or modification of the method of least squares (OLS) – to determine a solution to the real time (instantaneous positioning), or variants of the Kalman filter – to smooth the path and eliminate the «emission» measurements. Positioning accuracy of the object by using the last is higher than the OLS, but requires knowledge of the equations of motion of a specific object that is fundamentally difficult to use Kalman navigation algorithms for the majority of mobile objects, or when unknown trajectory of movement, nor the form of a physical model, nor the nature of the perturbations acting on the object etc. In connection with this at the article the problem of nonlinear precision filtering navigation parameters, invariant to the form and nature of the object, to be invited to decide on the basis of integration satellite and tracker measurements, which provides the primary treatment of navigational measurements elimination of their most significant interference.
Keywords: satellite navigation systems; non-linear Kalman filter; tracker measurements; suboptimal algorithms; navigation vector.
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