Advanced Jindalee Tracker: Probabilistic Data Association Multiple Model Initiation Filter

Abstract

This paper presents the theory and examples of performance for a new algorithm that initiates tracks using a multiple model Probabilistic Data Association (PDA) filter. The analysis is generalized for the case of multiple non-uniform clutter regions within the measurement data that updates the filter. The algorithm starts multiple parallel PDA filters from a single sensor measurement. Each filter is assigned one of a range of possible target model parameters. To reduce the possibility of clutter measurements forming established tracks, the solution includes a model for a visible target. That is, a target that gives sensor measurements that satisfy one of the target models. Other features included in the algorithm are the selection of a fixed number of nearest measurements and the addition of signal amplitude to the target state vector. The inclusion of signal amplitude is one coordinate that is applicable to the non-uniform clutter model developed in this a paper.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA367163

Entities

People

  • S. B. Colegrove

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Amplitude
  • Australia
  • Data Association
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Environment
  • Microwave Radar
  • Probability
  • Radar
  • Radial Velocity
  • Signal Processing
  • Target Tracking
  • Universities

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.