Raytheon Company

Brian J Harkins

Chul J Lee

Christopher J Yafrate

Kevin R O'Donnell

Andrew P Simmons

Dmitrios Kolokithas

A phased antenna array calibration station comprising an enclosure comprising a first rectangular interior room comprising at least one exterior door, a power source device, a cooling device, and a controller device configured to control power, cooling, and testing within a second interior room and an antenna under test (AUT); and the second rectangular interior room comprising at least one interior door abutting the first interior room, an opening in one wall of the second interior room, a radio frequency (RF) absorbing material covering all interior surfaces of the second interior room, and at least one movable electromagnetic interference (EMI) shield configured to form an EMI seal around the opening and active elements of AUT aligned with opening; and support fixture configured to support AUT and align active elements of AUT with opening to second interior room comprising cooling and electronic unit (CEU) configured to cool AUT and operate AUT.

Phased antenna array calibration station

A method and system for analyzing the RCS of an object using N Point signature prediction models is provided. N-point signature prediction models are created for each object in a scenario and stored in lookup tables. Shooting and Bounce trace back techniques are used to determine RCS signatures of multiple objects in modeled scenarios to account for blockage by and coupling phenomena of a scattered field.

RCS signature generation for closely spaced multiple objects using N-point models

A method to reduce scattering centers (SC) includes receiving a set of SC data points representing an object. The method also includes reducing SC data points associated with a first region based on magnitudes of intensity of the SC data points associated with the first region, reducing SC data points associated with a second region based on magnitudes of intensity of the SC data points associated with the second region, combining the reduced SC data points associated with the first region and the second region to form a reduced set of SC data points, comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics and if the reduced set of SC data points meets the set of comparison metrics, performing another iteration of the reducing.

Reducing scattering center data using magnitude-based reduction

In one example, a method to reduce scattering centers (SC) includes receiving a set of SC data points associated with an object in three-dimensional space, partitioning the SC data points into a plurality of volumes, aggregating the SC data points within each volume based on an aggregate threshold and combining the aggregated SC data points associated with each volume to form a reduced set of SC data points. The method also includes comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics and if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume.

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Westford, MA, United States of America

Brian J Harkins