Data Fusion for SDI: A Midcourse Correlator/Tracker Algorithm

Lawrence J. Filippelli, Glenn T. Villadsen, William W. Binzer, Barry Belkin

Abstract:	The Naval Research Laboratory is engaged in the development of a Tracker/Correlator algorithm for the SDI Mid-course phase of engagement. An algorithm which combines techniques from conventional statistical theory and problem-domain logic has been designed, implemented and tested. The algorithm employs a multihypothesis approach for developing alternative scenes which are formed from ambiguities inherent in the data fusion process. Each association of an incoming sensor observation report with a different previous track represents a hypothesis for that report. Data are partitioned into clusters of statistically related target state estimates to reduce the computational load that results from associating a high volume of sensor reports to a large number of tracks. The hierarchical nature of the algorithm architecture is also being exploited in a parallel implementation. The paper will describe the algorithm architecture and its functionality, a plan for a parallel implementation and test results obtained from the current version of the software.
Published in:	Proceedings of the 45th Annual Meeting of The Institute of Navigation (1989) June 27 - 29, 1989 Alexandria, VA
Pages:	43 - 49
Cite this article:	Filippelli, Lawrence J., Villadsen, Glenn T., Binzer, William W., Belkin, Barry, "Data Fusion for SDI: A Midcourse Correlator/Tracker Algorithm," Proceedings of the 45th Annual Meeting of The Institute of Navigation (1989), Alexandria, VA, June 1989, pp. 43-49.
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