Title :
Parallel synthetic aperture radar processing on workstation networks
Author :
Meisl, Peter G. ; Ito, Mabo R. ; Cumming, Ian G.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
Synthetic aperture radar (SAR) signal processing poses a significant challenge due to its very large computation and data storage requirements. This paper presents the computational requirements of a typical high resolution satellite SAR data processing scenario. A classification of approaches to partitioning the SAR problem for parallel processing is given. The suitability of networks of workstations (NOW) for SAR processing is analyzed for a number of partitioning approaches. The network throughputs required to support SAR processing on NOW are derived. SAR processing is found to demand extremely high network throughput that is difficult to achieve with today´s technology
Keywords :
local area networks; parallel processing; radar computing; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; telecommunication computing; NOW; classification; computational requirements; data storage requirements; high network throughput; high resolution satellite SAR data processing; local area network; parallel processing; remote sensing; signal processing; synthetic aperture radar processing; very large computation requirements; workstation networks; Data processing; Memory; Parallel processing; Partitioning algorithms; Radar signal processing; Remote sensing; Satellites; Sensor arrays; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Throughput; Workstations;
Conference_Titel :
Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-8186-7255-2
DOI :
10.1109/IPPS.1996.508137
