Concepts of Operations for the Side Scan Sonar Autonomous Underwater Vehicles Developed at DRDC Atlantic

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Authors
  1. Nguyen, B.
  2. Hopkin, D.
Corporate Authors
Defence R&D Canada - Atlantic, Dartmouth NS (CAN)
Abstract
This study reports findings on novel concepts of operations for Autonomous Underwater Vehicles (AUVs) conducting mine hunting missions. The AUVs that we consider are those carrying a side scan sonar and have been developed at DRDC Atlantic. We examine the use of one and two AUVs each sweeping a lawn mowing pattern or a zigzag pattern. Two independent probabilistic models were built in order to assess and compare the Measures Of Effectiveness (MOEs) of these configurations. Through execution of these models and the nature of the Measures of Performance (MOPs) of the side scan sonar, the optimal configuration was found as well as a heuristic proof showing why it is optimal. The paper also describes variational calculus methodologies on how to obtain the optimal search path based on target density distribution in general. Exact equations of motion for the optimal path are found for a specific type of mine density distributions along the vertical axis alone, and along both the horizontal and vertical axis. The optimal paths are then compared to the proposed operations in terms of MOEs.

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Keywords
Remotely operating vehicles;Search patterns;Probability of detection;Coverage;Mine density;Variational calculus;Monte Carlo simulation;MOP (Measures of Performance);AUV (Autonomous Underwater Vehicle)
Report Number
DRDC-ATLANTIC-TM-2005-213 — Technical Memorandum
Date of publication
01 Oct 2005
Number of Pages
74
DSTKIM No
CA027107
CANDIS No
525150
Format(s):
CD ROM

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