MODELLING OF TRACKING SYSTEM USING SIX STATE KALMAN FILTER

Abstract

In this article is mentioned process, mathematical apparatus and graphical results of the state variable prediction simulation using Kalman filter, which is programmed in C++ platform. The content of this article is the tracker modelling using six state Kalman filter, which is based on the mentioned parts of the system model. The processes and the results demonstrate application of the algorithm in C++ platform, processing of the generated values of the state estimations and abilities of the deficiencies limitation on this modelling level. The algorithm change makes this process applicable for real dynamic systems in the terms of using real sensors.