Parallel implementation of image reconstruction for the CARABAS long-wave penetrating radar

  • Tommy Persson
  • Peter Fritzson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1067)


CARABAS (Coherent All RAdio BAnd Sensing) is a new type of radar that has the unique property of being able to penetrate through vegetation, and to some extent into upper levels of soil depending on water content. This can be done by using long radar waves in the range 3–15 meters, and new algorithms for image reconstruction from information in reflected radar waves. These algorithms are related to methods used for computer tomography, and are very computationally expensive. Two classes of algorithms for image reconstruction are direct Fourier methods and filtered backprojection. Even though filtered backprojection is more computationally demanding, we chose that method since it is easier to parallelize, it has better real-time properties, and it is easier to compensate for disturbances and achieve good image quality.

In this paper we report results from the first parallel implementation of the CARABAS algorithms. The benchmarking was done on a Parsytec PowerGC MIMD computer with 128 PowerPC 601 processors. We come close to achieving the real-time requirement for significant parts of the computation.


Synthetic Aperture Radar Parallel Implementation Radar Data Synthetic Aperture Radar Data Half Circle 
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 Berlin Heidelberg 1996

Authors and Affiliations

  • Tommy Persson
    • 1
  • Peter Fritzson
    • 1
  1. 1.Department of Computer ScienceLinköping UniversityLinköpingSweden

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