Maximum Likelihood Based ESM/Radar Track Association Algorithm in a New Modified Polar Coordinate

Abstract

Association of radar and ESM tracks is an important component for multisensor-multitarget tracking systems. It is essential to the overall performance of a track fusion process. In this report, we present an ESM/track association algorithm in a new modified polar coordinate (MPC) system. The algorithm is based on a theoretical performance analysis of ESM/radar track association techniques in the MPC. Formulas for computing the correct and false association probabilities with and without state estimation biases are derived. We also discuss the effect of the number of observable states on association performance. The proposed algorithm uses a maximum likelihood (ML) algorithm for estimating the target states, of which the observable state estimates are subsequently used for the ESM/radar track association. Computer simulations are used to demonstrate the performance and improvement of the proposed ESM/radar track association method.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA436367

Entities

People

  • Henry Leung
  • Winston Li
  • Yifeng Zhou

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Computational Science
  • Computer Simulations
  • Computers
  • Correlation Techniques
  • Detectors
  • Electrical Engineering
  • Estimators
  • Information Science
  • Multitarget Tracking
  • Probability
  • Signal Processing
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis
  • Target Tracking

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