This paper will discuss and evaluate the advantages provided by the DEBON-Air simulation environment for effecting
communications between UAV airframes in flight. DEBON-Air provides a realistic multi-vehicle simulation
environment which models communications complexities. By simulating various operational factors (e.g., bandwidth
and reliability), and environmental factors (e.g., weather, altitude, range, and attitude), evaluators can establish the
functional and performance characteristics of an Information Management System (IMS) in a simulated tactical
environment. The Air Force Research Laboratory (AFRL) Apollo IMS will be used in concert with the DEBON-Air
simulation environment for the purposes of these evaluations.
KEYWORDS: Signal processing, Prototyping, Optimization (mathematics), Image processing, Super resolution, Commercial off the shelf technology, Visualization, Performance modeling, Image resolution, Chemical elements
The design and implementation of a real-time super-resolution imaging processor was conducted as a benchmark for the Rapid Prototyping of Application Specific Signal Processors (RASSP) program. RASSP is a DARPA/Tri-services sponsored program aimed at accelerating the design process for digital electronic systems. The super-resolution subsystem is part of a Semi-Automated Image-intelligence Processing (SAIP) system. The benchmark project required a reduction in the size and increase in performance of the prototype system, which had been implemented on an array of workstations. The RASSP methodology was applied to guide the design process and RASSP-related analysis tools were used to accelerate the software development. The numerical and run-time performance goals were achieved through a combination of software innovations in the imaging algorithm and porting to a high-density commercial off-the-shelf high-performance parallel processor. The selected processor consisted of four Alex Computer boards containing a total of 72 ADSP-21060 signal processors.
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