Improved clustering approach for multiplatform data fusion

Huub W. de Waard; Willem Elgersma

doi:10.1117/12.492793

26 November 2001 Improved clustering approach for multiplatform data fusion

Huub W. de Waard, Willem Elgersma

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492793
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Huub W. de Waard and Willem Elgersma "Improved clustering approach for multiplatform data fusion", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492793

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