Kalman Filter Architectures for Battle Management. Phase 1.

Abstract

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. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1987
Accession Number
ADA195526

Entities

People

  • Doyce Satterfield

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Battle Management
  • Computational Complexity
  • Computer Programming
  • Computers
  • Equations Of Motion
  • Floating Point Operations
  • Kalman Filtering
  • Kalman Filters
  • Nonlinear Dynamics
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Processing Equipment
  • Signal Processing
  • Target Tracking

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Military Science and Technology Research and Modernization.