Accession Number : ADD017826
Title : Neural Network Based Three Dimensional Ocean Modeler.
Descriptive Note : Patent, Filed 18 Oct 94, patented 30 Jan 96,
Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC
Personal Author(s) : DeAngelis, Christopher M
Report Date : 30 Jan 1996
Pagination or Media Count : 11
Abstract : A method is described for providing an estimate of the state of a moving contact in a three dimensional ocean. The method comprises the steps of providing a device for estimating the state of the contact, inputting into the device information about a location of an observer during a sequence of time, information from at least one sensor about the position of the contact relative to the observer during the time sequence, and a knowledge vector, transforming the inputted information into a series of three dimensional geographical grids, and analyzing the geographical grids to produce an estimate of the state of the contact with respect to the location of the observer. The device for providing the estimate of the state of the moving contact is a neurally inspired contact estimation device. The device includes a grid stimulation block for transforming the inputted information into the three dimensional geographical grids, a fusion block where grids corresponding to similar time intervals are combined or fused, a correlation block for providing constraints such as constant speed and heading and for producing a path likelihood vector, and an estimate block for providing the estimate of the state of the moving contact. The device further includes a controller for providing knowledge to the aforementioned blocks.
Descriptors : *NEURAL NETS, *TARGETS, *THREE DIMENSIONAL, *OCEAN MODELS, *PATENTS, VELOCITY, DATA PROCESSING, TIME INTERVALS, STIMULATION(GENERAL), DETECTORS, GRIDS, MOTION, ARRAYS, SEQUENCES, ESTIMATES, CORRELATION, OCEANS, GEOGRAPHY
Subject Categories : Physical and Dynamic Oceanography
Target Direction, Range and Position Finding
Distribution Statement : APPROVED FOR PUBLIC RELEASE