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Remcom employees presented three talks at the U.S. National Committee (USNC) of the International Union of Radio Science (URSI) National Radio Science Meeting held in January 2010. Our presentations address modern solutions for near earth propagation accuracy and speed.

Near Earth Propagation with Arbitrary Antenna Patterns
One approach to high fidelity propagation modeling is Moving Window Finite Difference Time Domain (MWFDTD). It solves Maxwell's equations directly by propagating a pulse of energy on a 2-D FDTD grid. Through the use of a modified Woodward-Lawson Method an arbitrary antenna pattern can be applied to the FDTD grid space at the transmitter. This work presents the application of arbitrary antenna patterns to near earth propagation through MWFDTD. It presents the improved accuracy resulting from scenario specific antenna patterns instead of isotropic sources.
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Near Earth Propagation on a GPU
A well known factor in propagation modeling is the tradeoff between speed and fidelity. One approach to maintaining fidelity while speeding up calculation time has been the Moving Window Finite Difference Time Domain (MWFDTD). To increase the speed even further, the MWFDTD model may be moved to a Graphics Processing Unit (GPU). The fundamental idea behind using GPUs for general scientific computing is parallelization, which is nicely compatible with MWFDTD. It is reasonable to expect speedups of 30X-100X with this method. This work establishes the utility of using GPUs to model near propagation.
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Urban Propagation Predictions with Real-Time Models
Accurate prediction of urban propagation presents a modeling and simulation dilemma: a modeler must usually choose to either model fidelity or quick run-time. This paper describes a new model, Remcom's Wireless InSite Real Time, which provides a very rapid propagation prediction capability in urban environments. The model supports prediction of point-to-point communications in a realistically modeled, three-dimensional urban environment including terrain variation for randomly selected transmitter and receiver locations to produce area coverage maps, vertical slices, volumetric areas, and multiple input multiple output scenarios. Overall, the paper will demonstrate a new capability to provide accurate communications prediction in near real time using modern software tools.
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