Target Tracking with Randomly Interrupted Range Data with Applications to Seafire.

Abstract

The effect of randomly missed range data on target tracking performance has been investigated. The specific problem addressed concerns SEAFIRE. Most of the development and results, however, are general enough to be extended to other purposes. Randomness of the missing range data was modeled as a first order Markov process while Singer's correlated acceleration model was used to represent the target. Both of these models provide a quite general description of the stochastic processes being analyzed. The effect of uniformly (non-random) missed range data was also explored in order to provide a reference which is somewhat easier to analyze and understand. For the sake of completeness, angle tracking performance was briefly examined for the case of uninterrupted angle measurements. Results presented in this technical report are designed to aid in determining performance to be expected from a target tracking algorithm subjected to randomly interrupted range data and to aid in specifying sensor accuracy requirements necessary to obtain the desired tracking accuracy. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA055713

Entities

People

  • Norman H. Gholson

Organizations

  • Naval Surface Warfare Center Dahlgren Division

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Cartesian Coordinates
  • Computer Programs
  • Control Systems
  • Covariance
  • Data Science
  • Detectors
  • Errors
  • Markov Processes
  • Measurement
  • Probability
  • Steady State
  • Stochastic Processes
  • Surface Targets
  • Systems Engineering
  • Target Tracking

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.