Accession Number : ADD015984

Title :   Radar Target Discrimination Systems Using Artificial Neural Network Topology.

Descriptive Note : Patent, Filed 13 Nov 92, patented 10 Aug 93,

Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s) : Morrison, Larry M ; Roth, Duane

Report Date : 10 Aug 1993

Pagination or Media Count : 25

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 clements 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.

Descriptors :   *RADAR TARGETS, *TARGET DISCRIMINATION, *RADAR CLUTTER, *PATENTS, ACTIVATION, BANDPASS FILTERS, COEFFICIENTS, CONVOLUTION, CORRELATION, DISCRETE FOURIER TRANSFORMS, ENERGY, FILTERS, FREQUENCY, INPUT, LINEARITY, OUTPUT

Subject Categories : Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE