Accession Number:

ADA636857

Title:

A Comparative Study of Data Fusion Algorithms for Target Tracking

Descriptive Note:

Technical rept.

Corporate Author:

DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER (QUEBEC)

Personal Author(s):

Report Date:

2002-10-31

Pagination or Media Count:

76.0

Abstract:

An ongoing activity undertaken by the Situation Analysis Support Systems SASS Group in the Decision Support Systems DSS Section at Defence Research Development Canada DRDC - Valcartier is the investigation of advanced concepts of data fusion and sensor management processes, and their adaptation and integration. These concepts could apply to the current Halifax Class frigates Above Water Warfare AWW sensor suite, as well as its possible future upgrades, in order to improve its performance against predicted future threats. As part of this exploration, a comparative study of the commonly used track-level fusion techniquesalgorithms is reported here. In developing data fusion systems for surveillance and tracking purposes, the selection of such techniques andor algorithms is a fundamental conceptual issue. For any given sensor suite configuration, there can be many different ways to combine data from the sensors into global tracks, and various trade-offs are generally required for the selection of the appropriate data fusion architecture, since each approach has its benefits and disadvantages. The considered methods are compared through the target tracking problem that presents both of the independent and correlated source fusion problems.

Subject Categories:

  • Numerical Mathematics
  • Cybernetics
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE