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Real-time signal processing in a collision avoidance radar system using parallel computing

  • G. L. Reijns
  • A. J. C. van Gemund
  • J. Schier
  • P. J. F. Swart
Track C1: (Industrial) End-user Applications of HPCN
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1593)

Abstract

Colarado (an acronym for collision avoidance radar able to distinguish obstacles) is a system for use in the control of autonomously driven vehicles, having static radar antennas. By combining the echos, resulting from 2 continuously emitting transmitters and 3 receivers, it is possible to compute the locations of obstacles in 3 dimensions. The main problem is to separate the real obstacles from ghosts amongst noise and clutter, up to a distance of 12.8 m. This paper discusses the signal processing algorithms as well as the related real-time parallel computer hardware and system software.

Keywords

Radar Data Phase Data Block Transfer Object Trace FMCW Radar 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • G. L. Reijns
    • 1
  • A. J. C. van Gemund
    • 1
  • J. Schier
    • 2
  • P. J. F. Swart
    • 3
  1. 1.Dept. of Information Technology and Systems Lab. of Computer Architecture and Digital TechniqueDelft University of TechnologyThe Netherlands
  2. 2.Inst. of Information Theory and AutomationCzech Academy of SciencesCzechia
  3. 3.Int. Research Inst. for Telecom-transmission and RadarDelft University of TechnologyThe Netherlands

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