Abstract
AbstractThis paper describes an improved strong tracking filter(ISTF). In this improved algorithm, it ensures the symmetry of forecast error covariance. In addition, an equation of the time-varying fading factor is derived from the orthogonality principle conditions of strong tracking filter. Through iteration, the calculation of time-varying fading factor away from the dependence on prior knowledge. A simulation under the two-dimensional space model system of moving objects is presented. Simulation indicates that the improved algorithm has better tracking ability and numerical stability!Keywordskalman filterstrong tracking filter time-varying fading factor
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