Raytheon Company

Thomas P Deardorff

Geoffrey Guisewite

Robert J Cole

Paul Christian Hershey

John J Williams

Jonathon P Smith

David J Wisniewski

John D Hennessy

Daniel P Truitt

Christopher R Harm

A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

Process of probabilistic multi-source multi-INT fusion benefit analysis

Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

Associating signal intelligence to objects via residual reduction

A method for visualizing data comprises allocating the data to one or more groups. The method further comprises displaying one or more non-overlapping symbols on a map to represent the groups. The method further comprises merging the non-overlapping symbols into a lesser number of non-overlapping symbols when the map is zoomed out. The method also comprises splitting the one or more non-overlapping symbols into a greater number of non-overlapping symbols when the map is zoomed in.

System and method for grouping and visualizing data

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Spring Mills, PA, United States of America

Thomas P Deardorff