Sequential Monte Carlo methods for contour tracking of contaminant clouds

  • Authors:
  • M. H. Jaward;D. Bull;N. Canagarajah

  • Affiliations:
  • Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK;Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK;Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK

  • Venue:
  • Signal Processing
  • Year:
  • 2010

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Abstract

This paper addresses the problem of contour tracking for airborne emission of contaminant clouds. This is of particular relevance in the context of anti-terrorism and military applications. This problem is solved by estimating the contour boundary positions using a set of particle filters. The use of sequential Monte Carlo techniques enables the tracking to be performed when the measurements are noisy. The tracking results also include the estimation uncertainty. The proposed technique is illustrated for both SCIPUFF and model generated emission scenarios and simulation experiments demonstrate successful tracking throughout the tracking period for both simple and complex environments.