Computer Architecture for Kalman Filtering

Abstract

Highly parallel architectures are developed to meet the increasing demanding throughput requirements of DoD signal processing applications. In particular, to perform multi-dimensional Kalman filtering at sample rates approaching 15 KHz, innovative techniques are presented to partition the problem for real-time implementation. A unique decoupling of the predictor and corrector equations in the Kalman filter is developed to speed up computations by two (2) orders of magnitude (100x). The proposed parallel algorithms and architectures are well suited for recursive filtering, image and signal processing for next generation instrument radar and telemetry equipment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 09, 1988
Accession Number
ADA199112

Entities

People

  • Richard H. Travassos

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computational Science
  • Computer Architecture
  • Computer Programming
  • Computers
  • Differential Equations
  • Floating Point Operations
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Notation
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Processing Equipment
  • Test Facilities

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Distributed Systems and Data Platform Development
  • Positioning, Navigation, and Timing (PNT) Technology.