Accession Number : ADD018333

Title :   Contact Management Model Assessment System for Contact Tracking in the Presence of Model Uncertainty and Noise.

Descriptive Note : Patent, Filed 9 Dec 94, patented 3 Dec 96,

Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s) : Ferkinhoff, David J ; Baylog, John G ; Gong, Kai F ; Keay, Kathleen D ; Hammel, Sherry E

Report Date : 03 Dec 1996

Pagination or Media Count : 21

Abstract : A system for providing an iterative method of assessing accuracy of selected models of physical phenomena and for determining selection of alternate models in response to a data sequence in the presence of noise. Initially, a residual sequence is generated reflecting difference values between in response to a data sequence and an expected data sequence as would be represented by a selected model. Feature estimate values of a plurality of predetermined data features in the residual sequence are then generated. In response to the feature estimate values, a threshold value is generated for each feature at an estimated ratio of data to noise power. Probability values are generated in response to the threshold value, representing the likelihood that the feature exists in the data sequence, does not exist in the data sequence, and that the existence or nonexistence in the data sequence is not determinable, along with an amplitude probability value indicating the belief of the amplitude of the respective feature in the data sequence. Probability values are generated in response to the feature existence and amplitude probability values, representing the likelihood that various modelling hypotheses are represented by the observed features, or are not ruled out by the observed features in the presence of the given noise level. Finally, a model is selected in response to the probability values for use during a subsequent iteration.

Descriptors :   *TRACKING, *STATISTICAL ANALYSIS, *PATENTS, UNCERTAINTY, THRESHOLD EFFECTS, ACCURACY, POWER SPECTRA, PROBABILITY DENSITY FUNCTIONS, SEQUENCES, ESTIMATES, NOISE, ITERATIONS

Subject Categories : Target Direction, Range and Position Finding
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE