Distributed Tracking Fidelity-Metric Performance Analysis Using Confusion Matrices

Abstract

Distributed target tracking and identification is an important element of operational environments. In this paper, we develop a fidelity metric of track purity assessment using confusion matrix (CM) fusion. We assess individual distributed tracker track purity associations for a multitarget scenario from two platforms. The fidelity metric for each tracker is combined using the CM fusion for track decision-level analysis to aid in the joint assessment of the track quality. CM fusion enables the estimation of the combined quality of the distributed tracking scenario and can be used for any fidelity metrics based on cardinality. In a distributed multisensor multitarget scenario, we demonstrate the fidelity metric CM fusion for enhanced tracking performance evaluation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA619801

Entities

People

  • Chun Yang
  • Di Qiu
  • Erik P. Blasch
  • Jiri Ajgl
  • Miroslav Simandl
  • OndÅ™ej Straka

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Data Association
  • Detection
  • Detectors
  • Environment
  • Filters
  • Identification
  • Measurement
  • Military Research
  • Multiple Hypothesis Tracking
  • Neurobehavioral Manifestations
  • Platforms
  • Recognition
  • Reliability
  • Target Tracking
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Sensor Fusion and Tracking Systems.