A Comparative Study of Data Fusion Algorithms for Target Tracking


  1. Benaskeur, A.R.
  2. Roy, J.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
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 techniques/algorithms is reported here. In developing data fusion systems for surveillance and tracking purposes, the selection of such techniques and/or algorithms is a fundamental conceptial 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.

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Sensor fusion;Data association;Target tracking;Target models
Report Number
DRDC-VALCARTIER-TR-2001-224 — Technical Report
Date of publication
31 Oct 2002
Number of Pages
Hardcopy;Document Image stored on Optical Disk

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