Improving automated search for underwater threats using multistatic sensor fields by incorporating unconfirmed track information

D. Angley, S. Mehrkanoon, B. Moran, C. Gilliam, S. Simakov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sonobuoy fields, comprising a network of sonar transmitters and receivers, are used to search for and track underwater targets. Although normally such fields are operated from a maritime patrol aircraft, automated scheduling and processing creates opportunities for employing them as autonomous sensor systems. The automated search mechanism considered in this work is controlled by modelling the presence of undetected threats in an Operational Area (OA) using a spatial probability density function (PDF), known as a threat map. The algorithm decides how to schedule waveform transmissions, known as pings, to efficiently search and clear the OA. A conventional approach is to update the threat map based on just the characteristics of the sonobuoy field and switch to a separate metric to track a target after track confirmation. In this study we address the phase when there are potential contacts which cannot yet be promoted to confirmed tracks. We develop a mechanism for probing the associated areas of interest while still remaining in the threat map driven search scheduling. To this end, we propose reinitialising the threat map after each transmission using an augmented PDF, where unconfirmed tracks are represented by weighted Gaussians. Simulations show that this approach significantly improves search performance, reducing the number of pings required to confirm a track, distance from a confirmed track to the target and the proportion of falsely confirmed tracks.

Original languageEnglish
Title of host publicationICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781728172897
ISBN (Print)9781728172903 (PoD)
DOIs
Publication statusPublished - 6 Oct 2021
Event2021 IEEE International Conference on Autonomous Systems, ICAS 2021 - Virtual, Montreal, Canada
Duration: 11 Aug 202113 Aug 2021

Publication series

Name2021 IEEE International Conference on Autonomous Systems (ICAS)

Conference

Conference2021 IEEE International Conference on Autonomous Systems, ICAS 2021
Country/TerritoryCanada
CityVirtual, Montreal
Period11/08/2113/08/21

Bibliographical note

Publisher Copyright:
©2020 Crown.

Keywords

  • Autonomous search.
  • Multi-static sonar
  • Sensor scheduling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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