Communications: directive radio wave systems and devices (e.g. – Clutter elimination
Patent
1992-11-13
1993-08-10
Sotomayor, John B.
Communications: directive radio wave systems and devices (e.g.,
Clutter elimination
342162, 342192, 342195, 342196, 342194, G01S 13526, G01S 1353
Patent
active
052353397
ABSTRACT:
A system for distinguishing between a target and clutter analyzes frequency components of returned wave energy by one or more networks each having inputs receiving successive samples of the returned energy and having outputs individually connected to the inputs through multiplier elements providing selectable factors. The multipliers corresponding to each output are connected to the output through a summing element and a selectable and generally sigmoidal activation function. The factors may be bandpass filter coefficients or discrete Fourier transform coefficients so as to generate frequency components of the energy. Predetermined frequency characteristics of the returned energy may be detected by providing the outputs of a network to a network in which the factors are selected as correlation or convolution coefficients, are selected to integrate fed back outputs, or are selected to sum several outputs within a predetermined range. The activation functions may be selected for thresholding, linearity, limiting, or generation of logarithms.
REFERENCES:
patent: 3287649 (1966-11-01), Rosenblatt
patent: 4809002 (1989-02-01), Togashi et al.
patent: 4862177 (1989-08-01), Wong
patent: 4907001 (1990-03-01), Harmuth
patent: 4965585 (1990-10-01), Lepere et al.
patent: 5101210 (1992-03-01), Milan
patent: 5121125 (1992-06-01), Guerci et al.
patent: 5150426 (1992-09-01), Banh et al.
patent: 5166692 (1992-11-01), McClain et al.
patent: 5168215 (1992-12-01), Puzzo
patent: 5177487 (1993-01-01), Taylor, Jr. et al.
M. Hollar, S. Tam, H. Castro, R. Benson; "An Electrically Trainable Artifal Neural Network (ETANN) with 10240 Floating Gate Synapses"; International Joint Conference on Neural Networks. Washington D.C., Jun. 18-22, 1989 IEEE, Piscataway, N.J.
Morrison Larry M.
Roth Duane
Church Stephen J.
Forrest, Jr. John L.
Sliwka Melvin J.
Sotomayor John B.
The United States of America as represented by the Secretary of
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