Improved clustering approach for multiplatform data fusion
H.W. de Waard, Willem Elgersma · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In the first part of the paper a new solution is proposed for distributed multiplatform data fusion, in which the different platforms exchange only compressed, track-related information. An improved clustering concept is introduced based on the premise that a cluster can contain a number of independent components, and based on the definition of a marginal bearing density function for the measurements produced by a certain track. Based on the found independent components new clusters can be formed. In the second part of the paper experimental evidence for the existence of independent components is presented. Furthermore, for the simulated multiplatform system experimental results concerning platform tracking and the reduction in the use of computer computation time, based on implemented measures from, are presented.