Kalman Filter Configurations for Multiple Radar Systems

Abstract

The purpose of this report is to examine several Kalman filter algorithms that can be used for state estimation with a multiple sensor system. These algorithms are described in detail and their results are compared with a suboptimum tracking algorithm which processes only multiple range measurements. A state estimate compression algorithm is also described. Various radar measurement transformation formulas are listed. Algorithms for a nonsynchronous data collection system are not examined in detail but possible approaches are suggested.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 1976
Accession Number
ADA026367

Entities

People

  • Chaw-bing Chang
  • Dieter Willner
  • Keh-ping Dunn

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Altitude
  • Ballistic Missiles
  • Compression
  • Computations
  • Coordinate Systems
  • Data Compression
  • Differential Equations
  • Equations
  • Estimators
  • Filters
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Radar
  • Statistical Algorithms
  • White Noise

Readers

  • Aerospace Test and Evaluation
  • Approximation Theory.
  • Radar Systems Engineering.