Analysis of Algorithm for Complex Processing of Goniometric Information in a Moving Object Navigation System
Abstract
Introduction: For complex inertial sensors combined in mobile unit navigation systems with navigation sensors of other types (digital magnetic compass, satellite navigation module and other devices), the latter are used as an external auxiliary source of information for the selection and evaluation (using the Kalman filtering algorithm) of systematic (slowly varying) errors of inertial sensors, and their subsequent correction for an open or closed circuit. As a result, the accuracy of the navigation system of the object is determined by the accuracy of the estimates of these errors and weakly depends on the contribution of the measurements from other sensors. Purpose: The goal is to develop and analyze an algorithm for complex processing of goniometric information in the navigation system of a movable object. Results: For the azimuth channel of a movable object navigation system, an algorithm built on the basis of the Kalman filter is proposed which performs complex processing of the total volume of the measurement information. The contribution of individual components into the processing is discussed and substantiated. We have demonstrated the functioning of the weight summation mechanism implemented by the Kalman filtering algorithm for goniometric data. Options have been described for defining the filter initial conditions. Practical relevance: The formulated comprehensive treatment algorithm can be used as a basis for a specific software navigation system of ground-based and near-Earth mobile objects. From the methodological point of view, the results can be useful for young professionals who want to understand and master the applied aspects of Kalman filtering.Published
2016-04-21
How to Cite
Kaplin, A., & Stepanov, M. (2016). Analysis of Algorithm for Complex Processing of Goniometric Information in a Moving Object Navigation System. Information and Control Systems, (2), 89-94. https://doi.org/10.15217/issn1684-8853.2016.2.89
Issue
Section
Information and measuring systems