Accession Number:

ADA615311

Title:

A Rule-based Track Anomaly Detection Algorithm for Maritime Force Protection

Descriptive Note:

Technical rept.

Corporate Author:

DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION EDINBURGH (AUSTRALIA) WEAPONS SYSTEMS DIV

Personal Author(s):

Report Date:

2014-08-01

Pagination or Media Count:

22.0

Abstract:

We developed an anomaly detection tool using a Rule-based Algorithm that can detect anomalies in a set of pre-recorded tracks using their curvature, speed and weave. We devised a method that can quantify the amount of curvature in a recorded surface track. The anomaly detection tool uses the limiting values for curvature, speed and weaving provided by the user to classify a track as normal or anomalous . We tested two data sets consisting of radar tracks recorded in May and August 2007. We varied the threshold values that the tool uses. We compared the results of the tool s analysis of the data sets with a visual inspection performed by a navy combat system operator. The results of the tool s analysis were in good agreement with those of the visual inspection.

Subject Categories:

  • Numerical Mathematics
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE