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U.S. Department of Energy
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Kalman-filter architectures for battle management. Phase 1. Final report

Technical Report ·
OSTI ID:6716409
This report develops a comprehensive theory of parallel Kalman filtering based on a unique decoupling principle permitting the predictor and corrector equations in the filter to be computed in parallel. Highly parallel algorithms and systolic architectures for efficiently implementing these advanced filtering techniques are presented. The application of these methods to Strategic Defense Initiative (SDI) target tracking problems is also described. The PFK theory is well developed, mature and ready to proceed to full-scale validation on a parallel-processing testbed. Because the PFK technology has been needed to solve several applications in the DoD for more than a decade, it is anticipated that, once fully developed, this technology can benefit several sectors of the DoD. This is possible because the necessary technology has only recently been available to transition the PKF theory into practice. Keywords: Computer architecture, Signal processing, Parallel processors.
Research Organization:
Systolic Systems, Inc., San Jose, CA (USA)
OSTI ID:
6716409
Report Number(s):
AD-A-195526/9/XAB
Country of Publication:
United States
Language:
English