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Implementation study of radar signal processing Using SIMD architectures
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2006 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

The aim of this pro ject was to evaluate the use of SIMD array architectures in radar

signal processing. This has been done by implementing one of the most demanding parts

of the radar signal processing chain for airborne radar on the CSX600 architecture devel-

oped by Clearspeed Technologies. The CSX600 architecture is a SIMD processor with 96

processing elements which can be arranged either as a linera array or as a ring. The QR-

decomposition, which was the part chosen for implementation, is the most performance

demanding part of the STAP stage. In order to create a relevant test case the well known

RT STAP benchmark from Mitre Corporation has been used. Two different algorithms

for performing QR-decompositions have been implemented and verified. In both cases

it has been concluded that either longer (>

≈256) or shorter (< ≈32) processor array

lengths would, in general, yield a higher utilization ratio. The FLOP count and utiliza-

tion has been measured for both algorithms, and it has been concluded that at least eight

CSX600 processors are needed to meet the real-time demand of the benchmark.

Place, publisher, year, edition, pages
Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) , 2006. , p. 11301481 bytes
Keywords [en]
SIMD array architectures, Radar signal processing
Identifiers
URN: urn:nbn:se:hh:diva-284Local ID: 2082/580OAI: oai:DiVA.org:hh-284DiVA, id: diva2:237463
Uppsok
Technology
Available from: 2006-11-28 Created: 2006-11-28 Last updated: 2007-01-08

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf