RapidIO for radar processing in advanced space systems

Authors:
David Bueno;Chris Conger;Alan D. George;Ian Troxel;Adam Leko
Affiliations:
University of Florida, High-performance Computing and Simulation (HCS) Research Lab, Gainsville, Florida;University of Florida, High-performance Computing and Simulation (HCS) Research Lab, Gainsville, Florida;University of Florida, High-performance Computing and Simulation (HCS) Research Lab, Gainsville, Florida;University of Florida, High-performance Computing and Simulation (HCS) Research Lab, Gainsville, Florida;University of Florida, High-performance Computing and Simulation (HCS) Research Lab, Gainsville, Florida
Venue:
ACM Transactions on Embedded Computing Systems (TECS)
Year:
2007

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Abstract

Space-based radar is a suite of applications that presents many unique system design challenges. In this paper, we investigate use of RapidIO, a new high-performance embedded systems interconnect, in addressing issues associated with the high network bandwidth requirements of real-time ground moving target indicator (GMTI), and synthetic aperture Radar (SAR) applications in satellite systems. Using validated simulation, we study several critical issues related to the RapidIO network and algorithms under study. The results show that RapidIO is a promising platform for space-based radar using emerging technology, providing network bandwidth to enable parallel computation previously unattainable in an embedded satellite system.