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Synthetic aperture radar signal processing in parallel using GPGPU

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Abstract

In this work an efficient parallel implementation of the Chirp Scaling Algorithm for Synthetic Aperture Radar processing is presented. The architecture selected for the implementation is the general purpose graphic processing unit, as it is well suited for scientific applications and real-time implementation of algorithms. The analysis of a first implementation led to several improvements which resulted in an important speed-up. Details of the issues found are explained, and the performance improvement of their correction explicitly shown.

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Authors and Affiliations

  1. CONICET-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina

    Mónica Denham & Javier Areta

  2. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento, Universidad Nacional de Río Negro, Sede Andina, San Carlos de Bariloche, Río Negro, Argentina

    Mónica Denham & Javier Areta

  3. Facultad de Informática, Instituto de Investigación en Informática LIDI, UNLP, La Plata, Buenos Aires, Argentina

    Fernando G. Tinetti

  4. Comisión de Investigación Científicas de la Provincia de Buenos Aires (CIC), La Plata, Argentina

    Fernando G. Tinetti

Authors
  1. Mónica Denham
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  2. Javier Areta
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  3. Fernando G. Tinetti
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Correspondence to Mónica Denham.

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Denham, M., Areta, J. & Tinetti, F.G. Synthetic aperture radar signal processing in parallel using GPGPU. J Supercomput 72, 451–467 (2016). https://doi.org/10.1007/s11227-015-1572-z

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  • DOI: https://doi.org/10.1007/s11227-015-1572-z

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