Information Systems Laboratories, Inc.

David R Kirk

Jameson Bergin

Joseph R Guerci

Paul Matthew Techau

J Doss Halsey

John Don Carlos

Katsumi Ohnishi

Brian Watson

Jeffrey Richard Ridgway

Raymond M Guerci

Joel R Studer

The present invention is for a system and method for testing an RF/radar system in a simulated open-air environment. During a test, the RF/radar system-under-test interfaces directly with the simulated open-air environment and operates in real time. For test purposes, an environmental database is provided to mimic the simulated open-air environment using a plurality of digitized impulse functions. A computation engine then cross-correlates the digitized impulse functions of the environmental database in fast time with digitized RF transmissions from the system-under-test to format a digital convolution. The digital convolution is then test-evaluated. For the present invention, the digital convolution is based on the theory of Green's Functions and is influenced by propagation and reflection physics (i.e. Maxwell's Equations) that are pertinent to the simulated open-air environment.

System and method for modeling environmental data

A system for visually tracking the trajectory of an in-flight golf ball through an x-y-z space above a driving range includes a plurality of cameras for respectively creating a video stream of the x-y-z space. Each video stream is presented on a dedicated camera focal plane with information on respective azimuth angles &#x3b8; and elevation angles &#x3d5; from the particular camera to the in-flight golf ball. A central computer is connected with the camera focal plane of each camera to identify a start point for the golf ball, to track its trajectory in the x-y-z space, and to filter out background clutter. A visual display is provided to show the in-flight golf ball from its start point to a target point in real time.

System and method for 3D optical tracking of multiple in-flight golf balls

A system and method for registering a test image with a reference image requires decimation of both images to create corresponding image pyramids. A Log-Polar Transformation (LPT) is then applied to corresponding pixels from the same highest levels of the respective pyramids. Next, these pixels are manipulated to establish a Normalized Correlation Coefficient (NCC) for their respective correlations. Approximately the highest 10% of correlated pixels are then retained to identify related pixels in the next lower level of their respective pyramids. Again, LPT is applied to these related pixels and they, in turn, are manipulated to establish NCC correlations for identifying pixels to be retained. This process is successively accomplished for each lower level of the pyramid until the lowest levels (i.e. the test image and the reference image) are correlated and used for registration of the test image.

Image registration using a modified log polar transformation

A system and method for detecting a target object through foliage includes a transmitter for generating a low-frequency electromagnetic signal. The signal is directed toward a potential target object for reflection from the potential target object. The system further includes a plurality of mutually dispersed sensors for receiving the reflected signal from the target object. A mechanism is provided to determine the relative locations of the sensors. Signal information from the received signals is sent to a central processor. The central processor inputs the signal information into a beamformer algorithm such as the Maximum Likelihood Method (MLM) to reduce sidelobe ambiguities and resolve the true location of the target from the signal information.

Detecting system having a coherent sparse aperture

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Springfield, VA, United States of America

David R Kirk