DocumentCode
760885
Title
VLSI architecture for SAR data compression
Author
Jeong, H. ; Park, J.H. ; Ryu, H.Y. ; Kwon, J.B. ; Oh, Y.
Author_Institution
Dept. of Electr., POSTECH, Pohang, South Korea
Volume
38
Issue
2
fYear
2002
fDate
4/1/2002 12:00:00 AM
Firstpage
427
Lastpage
440
Abstract
As a step towards a real-time signal aperture radar (SAR) correlator, custom very large scale integration (VLSI) architectures are developed. Considering the extremely short word length of the data, we derive three architectures with massive parallelism in bit space. Unlike frequency methods, no. degradation is introduced during convolution. Optimized for time and space, they are highly suited to VLSI implementation, and a small architecture with 80 taps operating at 10 MHz has been built using an FPGA
Keywords
VLSI; adders; application specific integrated circuits; computational complexity; convolution; correlators; data compression; field programmable gate arrays; image coding; image processing equipment; parallel architectures; pipeline processing; radar computing; radar imaging; synthetic aperture radar; 2D filter; ASIC chip; FPGA; Kronecker delta function; PCI board; SAR data compression; VLSI architecture; accumulator; adder tree; area-time computational complexity; azimuth compression; carry look-ahead adder; carry propagate adder; carry save adder; computational requirements; convolution; data recovery; fast architectures; frequency domain; highly regular architectures; image compression; massive parallelism; pipelining; range compression; real-time signal aperture radar correlator; sea-of-gates library; software package; time domain; Application specific integrated circuits; Computer architecture; Concurrent computing; Correlators; Data compression; Digital signal processing chips; Filtering; Filters; Synthetic aperture radar; Very large scale integration;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2002.1008977
Filename
1008977
Link To Document