A computer vision-based framework for the synthesis and analysis of beamforming behavior in swarming intelligent systems

J. S. Jensen, K. Buchanan, J. F. Chamberland, G. H. Huff

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

1 Scopus citations

Abstract

This work proposes a computer vision-based framework for analyzing and synthesizing the collaborative radiation behavior from swarming clusters of intelligent systems. Radiating sensor nodes with inertial measurement units and optical identification features represent the networked cluster of radiators. These create a set of object-distinguishable nodes on a reticulating platform capable of arbitrary spatial distributions. Node discovery and tracking algorithms based on open-source computer vision libraries use image and depth-of-field information from multi-spectral cameras. These locate nodes and their volumetric distribution within the cluster. An automated system then derives the weighted phases for collaborative beamforming from the resulting nodal distribution. Measured and simulated radiation patterns are gathered and compared to demonstrate the capability and accuracy of the proposed framework and to explore its usability in swarm applications.

Original languageEnglish (US)
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-122
Number of pages5
ISBN (Electronic)9781467388238
DOIs
StatePublished - Jun 7 2017
Event2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States
Duration: May 8 2017May 12 2017

Publication series

Name2017 IEEE Radar Conference, RadarConf 2017

Other

Other2017 IEEE Radar Conference, RadarConf 2017
CountryUnited States
CitySeattle
Period5/8/175/12/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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