USA As Represented by Secretary of the Navy

Neil A Jackson

John T Williamson

Patrick B Ryll

Francis J Frantz

Hyman A Greenbaum

Kai F Gong

Kathleen D Keay

John F MacDonald

Sherry E Hammell

A method of processing uncorrelated data from at least one multiple-contact tracking system is provided. The method identifies which of a plurality of contacts being tracked that the uncorrelated data is most likely to be associated with. By combining correlation with reassessment processing, correlation errors can be reduced or minimized. A threshold test (e.g., bearing test) is used to screen or coarsely filter the data while a comparison scoring test is used associate the uncorrelated data with one of the contacts. The same threshold test and comparison scoring test are used for both correlation and reassessment processing.

Contact data correlation with reassessment

A method of data fusion determines a best-estimate solution to a moving cact using a plurality of trackers that provide bearing-to-contact data and range-to-contact data. An averaging function is applied to the bearing-to-contact data to determine weighted-average bearing data associated with each tracker. The same averaging function is also applied to the range-to-contact data to determine weighted-average range data. A computed solution to the moving contact is generated using the weighted-average range data and the weighted average bearing data from the one tracker having the lowest standard deviation. A root mean square (RMS) error in terms of bearing is then determined for the computed solution and each of a plurality of independently generated solutions using bearing-to-contact data from the one tracker having the lowest standard deviation. One of the computed solution or the independently generated solutions that produces the lowest RMS error is considered to be the best-estimate solution.

Fusing contact data for best-estimate solution

A software object for providing a display of a scrolling real-time graph includes a window, a fixed axis within the window, a scrolling axis within the window, axis labels within the window, a plot within the window, and facility for viewing obscured regions of the graph along the scrolling axis.

Software object for providing a display of a scrolling real-time graph

A trajectory estimation system for estimating a trajectory of a target in sponse to a series of data items which generated in response to motion of the target. The trajectory estimation system includes a data segmentation means and a trajectory selection means. The data segmentation means processes the series of data items in accordance with a regression/multiple-hypothesis methodology to generate a plurality of segments, each having associated data items which have similar features. The trajectory selection means for processing said segments in accordance with a multiple-model hypothesis methodology to generate a corresponding statistically-supportable candidate trajectory motion estimate of target motion thereby to provide indicia of an overall trajectory of the target.

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North Kingstown, RI, United States of America

Neil A Jackson