has been held as an important part of WORLDCOMP:
We present an on-demand rapidly reconfigurable (~seconds) software-defined payload (SDP) architecture called AppSTARTM with a core in-situ re-programmable processing capability that supports communications, radar, signal analysis and other missions. At the heart of Harris’ AppSTARTM SDP concept is a Virtex-based FPGA and interconnect fabric architecture that provides for a modular, flexible, scalable core capable of supporting a broad spectrum of missions with capabilities that can be customized for size, weight and power (SWaP) challenged platforms. Illustrating some of the capabilities evolving from this work, we present two real-world space qualified/qualifable SDPs, 1) a 100 Mbps-capable Ka-band software defined radio (SDR) for NASA and 2) a space-ready SAR/ISAR X-band RADAR based on the AppSTARTM core. We also present an application of this core in a payload for an operationally responsive space (ORS) payload. The work described herein primarily leverages our space qualified V4 Processor employing several FPGAs in excess of 1 million gates each. Related work offering dramatically increased integration, reducing the V4 Processor card to 1 cubic inch package suitable SWaP challenged near-space and terrestrial applications is also discussed. s
Dr. Edward Beadle is currently a Senior Scientist in the Advanced Systems and Technology Department of Harris Corporation. He has 27 years of experience in digital signal processing, algorithm development, mathematical modeling and simulation applied to problems of wireless and SATCOM communication systems, RADAR, and signal exploitation systems. He currently holds 32 US Patents and has 23 open-literature publications. Prior to joining Harris, Dr. Beadle worked for 10 years at Brookhaven National Laboratory as a signal processing specialist.
Since joining Harris in 1997 Dr. Beadle has been engaged in the design, modeling, theoretical analysis of algorithms for applied signal processing in the areas of blind signal separation, wireless communications, SATCOM, adaptive array processing, geolocation and RADAR or MTI and imaging applications.
His research interests include stochastic signal processing, array processing, and detection and estimation theory. He holds a BSEE and a Ph.D. in Electrical Engineering from Stony Brook University, and an MSEE from Brooklyn Poly.
Dr. Timothy Dyson is currently a Senior Analyst in the Communications and Signal Processing Department of Harris Corporation. He has 35 years of experience in Digital Signal Processing, algorithm development, mathematical modeling and simulation applied to problems of SONAR, RADAR, information extraction and communication for intelligence, surveillance and reconnaissance. Since joining Harris in 2004 Dr. Dyson has been engaged in the design, modeling, theoretical analysis and implementation of secure wireless communications including non-cryptographic secure information transfer. His research interests are include Stochastic Signal and Array Processing, locally optimal detection, LPI/LPE physical layer wireless communications and related parallel gate level algorithm implementations. He holds an M.A. and Ph.D. in Electrical Engineering from Princeton University, an MEE from Villanova University and a BS in Physics from Pennsylvania State University.