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SAR raw data compression using FPGA ...

Huxtable, Robert C.

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SAR raw data compression using FPGA technology.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	SAR raw data compression using FPGA technology./
作者:	Huxtable, Robert C.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2008,
面頁冊數:	73 p.
附註:	Source: Masters Abstracts International, Volume: 47-04, page: 2228.
Contained By:	Masters Abstracts International47-04.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR46877
ISBN:	9780494468777

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

SAR raw data compression using FPGA technology. - Ann Arbor : ProQuest Dissertations & Theses, 2008 - 73 p.

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

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

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.

ISBN: 9780494468777Subjects--Topical Terms:

523869
Computer science.

SAR raw data compression using FPGA technology.
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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.
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