Radar target discrimination systems using artificial neural network topology
First Claim
1. A method for discriminating between target wave energy and clutter wave energy present together in combined wave energy and having different, predetermined frequency characteristics, the method comprising:
- sampling said combined energy at a predetermined rate to generate sample signals representing successive amplitudes of said combined energy;
providing a network receptive to a plurality of input signals and generating a plurality of output signals, the network having;
a plurality of multiplier elements, each of said multiplier elements corresponding to one of said input signals and to one of said output signals and generating a product signal representing the product of the amplitude of the inputsignal and a selectable factor individual to the multiplier element,a plurality of summing elements, each of said summing elements corresponding to one of said output signals and generating a sum signal representing the sum of the product signals corresponding to the output signal, anda plurality of activation elements, each of said activation elements corresponding to one of said output signals, receiving the sum signal corresponding to the output signal, and generating the output signal in accordance with a selectable activation function of the sum signal;
selecting said factor of each multiplier element so that the factors corresponding to each of said output signals are coefficients effective at said predetermined rate to select a predetermined frequency component of said combined energy;
providing a predetermined number of said sample signals as said input signals to said network so that the product signals corresponding to each of said output signals are summed by the corresponding said summing elements so as to generate said sum signals thereof representing frequency components of said combined energy; and
selecting a predetermined said activation function for each of said activation elements so that said activation elements generate said output signals to represent said frequency components in a predetermined form for analysis to detect said predetermined frequency characteristics.
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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.
48 Citations
14 Claims
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1. A method for discriminating between target wave energy and clutter wave energy present together in combined wave energy and having different, predetermined frequency characteristics, the method comprising:
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sampling said combined energy at a predetermined rate to generate sample signals representing successive amplitudes of said combined energy; providing a network receptive to a plurality of input signals and generating a plurality of output signals, the network having; a plurality of multiplier elements, each of said multiplier elements corresponding to one of said input signals and to one of said output signals and generating a product signal representing the product of the amplitude of the input signal and a selectable factor individual to the multiplier element, a plurality of summing elements, each of said summing elements corresponding to one of said output signals and generating a sum signal representing the sum of the product signals corresponding to the output signal, and a plurality of activation elements, each of said activation elements corresponding to one of said output signals, receiving the sum signal corresponding to the output signal, and generating the output signal in accordance with a selectable activation function of the sum signal; selecting said factor of each multiplier element so that the factors corresponding to each of said output signals are coefficients effective at said predetermined rate to select a predetermined frequency component of said combined energy; providing a predetermined number of said sample signals as said input signals to said network so that the product signals corresponding to each of said output signals are summed by the corresponding said summing elements so as to generate said sum signals thereof representing frequency components of said combined energy; and selecting a predetermined said activation function for each of said activation elements so that said activation elements generate said output signals to represent said frequency components in a predetermined form for analysis to detect said predetermined frequency characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification