Raytheon Company

Donald E Waagen

Harry A Schmitt

Nitesh N Shah

Delmar L Barker

Alphonso A Samuel

Andrew Greentree

David A Zaugg

Samantha S Livingston

Estille Whittenberger

John S Costello

Andrew D Greentree

A system for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes a first sensing modality for providing a measured data set. The system further includes a processor receiving the measured data set and generating a first k-orthogonal spanning tree constructed from k orthogonal minimal spanning trees having no edge shared between the k minimal spanning trees to define a first data manifold. A method for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes generating a first manifold by developing a connected graph of data from a first sensing modality using a first k-orthogonal spanning tree, generating a second manifold by developing a second connected graph of data from a second sensing modality using a second k-orthogonal spanning tree, and aligning the first manifold and the second manifold to generate a joint-signature manifold in a common embedding space.

Methods and apparatus for signature prediction and feature level fusion

Methods and apparatus for detecting anomalies in images according to various aspects of the present invention operate in conjunction with an optical flow system. The optical flow system may receive image data for a first image and a second image and generate flow vectors corresponding to differences between the first image and the second image. An analyzer may be coupled to the optical flow system and analyze the flow vectors to identify anomalies in the second image.

System and method for automatic detection of anomalies in images

The present invention describes a system and method of OAM diverse signal processing using classical beams for applications in which OAM signal character is controlled such as optical tagging and applications in which OAM signal character is not controlled such as clutter mitigation and interference cancellation for target detection, identification etc. This is accomplished by transmitting a source beam having a prescribed state with one or more non-zero OAM components, reflecting the beam off a 'tagged' or 'untagged' target and receiving the return beam in the direct return path to measure the one or more OAM components to identify the target. OAM processing provides additional degrees of processing freedom to greatly enhance the processing capabilities to detect and identify both &#x2018;tagged&#x2019; and &#x2018;untagged&#x2019; targets.

System and method of orbital angular momentum (OAM) diverse signal processing using classical beams

Systems and methods of tracking a beam-aspect target are provided. In embodiments, a target is tracked with a Kalman filter while detections are received. After a detection is missed, the Kalman filter may be concurrently propagated with a blind-zone particle filter until a probability that the target is in a blind zone exceeds a threshold. When the probability exceeds the threshold, the Kalman filter may refrain from further propagating. After a gated detection is received, the blind-zone particle filter and an unrestricted-zone particle filter may be concurrently propagated while a probability that the target is in an unrestricted zone exceeds a threshold. The system may return to tracking with the Kalman filter when a covariance of the unrestricted-zone particle filter falls below a predetermined covariance.

System and method for tracking beam-aspect targets with combined Kalman and particle filters

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Tucson, AZ, United States of America

Donald E Waagen