Micro-Computer Network Architecture for Range Instrumentation Applications

Abstract

VLSI technology has been developed to the point where special purpose processors may be concatenated to form supercomputers with far greater throughput rates than uniprocessor machines. MTI has developed a parallel form of the conventional Kalman filter that is well suited to being implemented in a multiprocessing environment. Moreover, our Decentralized Square Root Information Filter (DSRIF) has several very unique features which could be incorporated into the design of an integrated test range tracking system with much improved performance over existing methods. Phase I research demonstrated feasibility of the DSRIF as a means for solving the linear least squares estimation problem in decentralized form. Also, an extended form of the DSRIF was derived and successfully used to track real Multiple Rocket Launch System Data provided by the White Sands Missile Range.

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Document Details

Document Type
Technical Report
Publication Date
Mar 13, 1988
Accession Number
ADA196971

Entities

People

  • M. R. Belzer
  • Y. M. Cho

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Ballistic Trajectories
  • Computational Science
  • Computer Networks
  • Computers
  • Computing System Architectures
  • Coordinate Systems
  • Elevation
  • Instrumentation
  • Kalman Filters
  • Multiple Launch Rocket System
  • Multitarget Tracking
  • Network Architecture
  • New York
  • Three Dimensional
  • Two Dimensional
  • Very Large Scale Integration

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.