An investigation of track association algorithms for Northern Watch


  1. McArthur, B.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN)
The concept for Arctic maritime chokepoint surveillance demonstrated by Defence Research and Development Canada’s (DRDC) Northern Watch project requires a process for data association—the determination that multiple data elements reported by different sensors correspond to the same detected platform—to enable the integration of information from multiple above-water and underwater sensors. In response to documented shortfalls in the manual data association capability implemented in the Northern Watch system, this Scientific Report reviews the requirements for data association in the context of unmanned, remotely operated surveillance, and describes an investigation of one class of algorithm, based on statistical hypothesis tests, for application to the automated or semi-automated association of track data produced by the Northern Watch sensors. Two variants of the statistical hypothesis test are described—a single report test based on a pair of measurements from two sensors at a single instant in time and a multiple report test based on a sequence of measurements from each sensor. Test results are presented, using simulated data, for the association of bearings-only and positional cross-fix tracks from underwater acoustic arrays against AIS and radar tracks. It was found that association using underwater array bearings provides more consistent results when compared against similar tests involving the association of underwater array cross-fixes.

Il y a un résumé en français ici.

Arctic surveillance;data association;simulation
Report Number
DRDC-RDDC-2017-R062 — Scientific Report
Date of publication
01 May 2017
Number of Pages
Electronic Document(PDF)

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