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Real-time Radar Signal Processing on Massively Parallel Processor Arrays
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-4932-4036
Saab AB, Gothenburg, Sweden.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0001-6625-6533
2013 (English)In: Conference Record of The Forty-Seventh Asilomar Conference on Signals, Systems & Computers: November 3–6, 2013 Pacific Grove, California / [ed] Michael B. Matthews, Piscataway, NJ: IEEE Signal Processing Society, 2013, 1810-1814 p.Conference paper, Published paper (Refereed)
Abstract [en]

The next generation radar systems have high performance demands on the signal processing chain. Among these are advanced image creating sensor systems in which complex calculations are to be performed on huge sets of data in realtime. Massively Parallel Processor Arrays (MPPAs) are gaining attention to cope with the computational requirements of complex radar signal processing by exploiting the massive parallelism inherent in the algorithms in an energy efficient manner.

In this paper, we evaluate two such massively parallel architectures, namely, Ambric and Epiphany, by implementing a significantly large case study of autofocus criterion calculation, which is a key component in future synthetic aperture radar systems. The implementation results from the two case studies are compared on the basis of achieved performance, energy efficiency, and programmability. ©2013 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Signal Processing Society, 2013. 1810-1814 p.
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-24017DOI: 10.1109/ACSSC.2013.6810614ISBN: 978-1-4799-2390-8 (electronic)ISBN: 978-1-4799-2388-5 (electronic)OAI: oai:DiVA.org:hh-24017DiVA: diva2:667711
Conference
47th IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3–6, 2013
Projects
JUMP (JUmp to Manycore Platforms)
Funder
Knowledge Foundation
Note

The authors would like to thank Nethra Imaging Inc. and Adapteva Inc. for giving access to their software development suite and hardware board. This research is done in the JUMP (JUmp to Manycore Platforms) project within the CERES research program supported by the Knowledge Foundation in cooperation with Saab AB.

Available from: 2013-11-27 Created: 2013-11-27 Last updated: 2017-04-10Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • Other style
More styles
Language
  • de-DE
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Output format
  • html
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