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SAR raw data compression using FPGA ...

Simon Fraser University (Canada).

SAR raw data compression using FPGA technology.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	SAR raw data compression using FPGA technology./
Author:	Huxtable, Robert C.
Description:	1 online resource (73 pages)
Notes:	Source: Masters Abstracts International, Volume: 47-04, page: 2228.
Contained By:	Masters Abstracts International47-04.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780494468777

SAR raw data compression using FPGA technology.
Huxtable, Robert C.

SAR raw data compression using FPGA technology. - 1 online resource (73 pages)

Source: Masters Abstracts International, Volume: 47-04, page: 2228.

Thesis (M.A.Sc.)--Simon Fraser University (Canada), 2008.

Includes bibliographical references

This thesis investigates the compression of synthetic aperture radar (SAR) raw data using field-programmable gate array (FPGA) technology. Specifically, this thesis focuses on the onboard, real-time data compression for spaceborne SAR systems. SAR is an important instrument for remote sensing of the Earth's surface, and produces large quantities of data that require compression before downlink via a limited capacity channel. SAR system design, including data modeling, is analyzed from the perspective of onboard data compression, and algorithm implementation requirements are derived. The development of a simple, yet flexible, FPGA implementation of a block adaptive quantization (BAQ) compression algorithm is described, and its performance analyzed. Also described is a hardware test bench that was developed to verify the correct operation of the implemented algorithm at high data rates. The state-of-the-art in SAR raw data compression algorithms is reviewed, including the identification of more advanced algorithms potentially suitable for future FPGA implementation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780494468777Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

SAR raw data compression using FPGA technology.
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020 $a 9780494468777
035 $a (MiAaPQ)AAIMR46877
035 $a AAIMR46877
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100 1 $a Huxtable, Robert C. $3 1189599
245 1 0 $a SAR raw data compression using FPGA technology.
264 0 $c 2008
300 $a 1 online resource (73 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 47-04, page: 2228.
502 $a Thesis (M.A.Sc.)--Simon Fraser University (Canada), 2008.
504 $a Includes bibliographical references
520 $a This thesis investigates the compression of synthetic aperture radar (SAR) raw data using field-programmable gate array (FPGA) technology. Specifically, this thesis focuses on the onboard, real-time data compression for spaceborne SAR systems. SAR is an important instrument for remote sensing of the Earth's surface, and produces large quantities of data that require compression before downlink via a limited capacity channel. SAR system design, including data modeling, is analyzed from the perspective of onboard data compression, and algorithm implementation requirements are derived. The development of a simple, yet flexible, FPGA implementation of a block adaptive quantization (BAQ) compression algorithm is described, and its performance analyzed. Also described is a hardware test bench that was developed to verify the correct operation of the implemented algorithm at high data rates. The state-of-the-art in SAR raw data compression algorithms is reviewed, including the identification of more advanced algorithms potentially suitable for future FPGA implementation.
520 $a Keywords. FPGA; SAR; BAQ; data compression; remote sensing.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Remote sensing. $3 557272
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0799
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Simon Fraser University (Canada). $3 1184300
773 0 $t Masters Abstracts International $g 47-04.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR46877 $z click for full text (PQDT)

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