Modelling Metrics for Mine Counter Measure Operations

Abstract

In this scientific report, we present a methodology to determine the expected probabilities of detection of a target based on multiple looks at that target. We provide a sensitivity analysis of the probabilities of detection based on the number of looks, tactics and cross sections. Generally, the probability of detection improves significantly with the number of looks. Its value can vary substantially with the search and detection tactics as well as the cross section of a target. There are three tactics identified here where each look is independent of the others. The first tactic is a globally optimal tactic where the consecutive look angles are equidistant. The second tactic distributes the look angles randomly. The third tactic imposes the same angle for all look angles. In addition, we extract the guaranteed best angle of the broad side of a target from the first tactic. For each tactic, we propose an example of a corresponding search pattern.The methodology in this report can be implemented easily on any computational symbolic software; MathCad version 14 was used herein. We hope to make the search and detection community aware of the phenomenologies of multiple looks, and hope that the material presented will be incorporated into the mine search and detection tactics of the CAF.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2014
Accession Number
AD1018043

Entities

People

  • Bang Le-Huy Nguyen
  • R. Mirshak

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Aspect Angle
  • Autonomous Underwater Vehicles
  • Classification
  • Detection
  • Detectors
  • Geometry
  • Hidden Markov Models
  • Markov Models
  • Neural Networks
  • Operations Research
  • Probability
  • Security
  • Sensitivity
  • Sensor Networks
  • Signal Processing
  • Underwater Vehicles
  • Urban Areas

Readers

  • Computer Science.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design