Smart Automation for Multistatic Active Sonar - Phase II – Final Report


  1. Hood, J.
  2. McInnis, J.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN);Akoostix Inc, Dartmouth NS (CAN)
Sonar-operator overload remains a significant issue in current multistatic active-sonar systems. Prior work demonstrated that a significant improvement in detection performance could be realized using an innovative display format. The new display renders data so that rapid, intuitive and reliable operator interpretation is possible, but leaves other high-load tasks such as contact investigation unaddressed. This research proposes an approach to timely multistatic-contact investigation that incorporates a combination of operator input and system automation. Smart Automation for Multistatic Active Sonar (SAMAS) attempts to improve overall system effectiveness by automating only the tasks that are best performed by the computer. Given the technology state of the art and an ongoing requirement for operator situational awareness, a human operator remains the best system component to perform initial contact detection and to assist the system in refining and validating the contact. The system, however, is typically more adept at rapidly and consistently evaluating complex geospatial relationships and errors while searching large amounts of data for corroborative information, then fusing and annotating this information into an informative and intuitive rendering for the operator. Building on the previous capability and research, the research performed for this contract is a refinement of the smart-automation concept. The refinements include multiple-sensor designation, integrated loc
Report Number
DRDC-RDDC-2017-C112 — Contract Report
Date of publication
01 May 2013
Number of Pages
Electronic Document(PDF)

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