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Bożena Kunka Tutor : dr inż.. Jan Matuszewski

Military University of Technology Faculty of Electronic Institute of Telecommunication. The Application of Neural Networks in Radar Signals Recognition. Bożena Kunka Tutor : dr inż.. Jan Matuszewski. N eural N etworks - application.

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Bożena Kunka Tutor : dr inż.. Jan Matuszewski

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  1. Military University of Technology Faculty of Electronic Institute of Telecommunication The Application of Neural Networks in Radar Signals Recognition Bożena Kunka Tutor: dr inż.. Jan Matuszewski

  2. Neural Networks - application • Issues of recognition are currently the most often used of neural networks application • 1g • Applying the neural networks in radioelectronics gives enormous possibilities of real-time information processing • Construction of a arificial neuron bases on biological nerve cell The Application of Neural Networks in Radar Signals Recognition

  3. McCulloch-Pitts Neuron Model weighted coefficients vector total neuron excitation input values (signals) vector signal value at the neuron’s output neuron activation function The Application of Neural Networks in Radar Signals Recognition 3/12

  4. Neuron activation functions • linear function • sigmoidal function • step function The Application of Neural Networks in Radar Signals Recognition 4/12

  5. Multilayer Perceptron The Application of Neural Networks in Radar Signals Recognition 5/12

  6. Learning the NeuralNetworks • with a teacher • basing on the learning set the network learns the proper operation • without a teacher • applied when the network responses are not known The Application of Neural Networks in Radar Signals Recognition 6/12

  7. Minimum Distance Method Of Signal Recognition - radiation source class - measure vector The Application of Neural Networks in Radar Signals Recognition 7/12

  8. Neural Networkand Classic MethodOf SignalRecognition • the quantity of klass: L=10 • the quantity of parametres: L=10 • standard deviation: • The quantity of realizations for each class: n=100 NEURAL NETWORK: - THREE-LAYER PERCEPTRON - 10 SUBNETWORKS CLASSIC METHOD: - MINIMUM DISTANCE CLASSIFIER The Application of Neural Networks in Radar Signals Recognition 8/12

  9. Number Of Correct Classifications N.N. – Neural Network ST.R. – Minimum Distance Method The Application of Neural Networks in Radar Signals Recognition 9/12

  10. Probability Of Correct Classification • CLASSIC METHOD • NEURAL NETWORK The Application of Neural Networks in Radar Signals Recognition 10/12

  11. Summary • Use of neural networks instead of classic method for radar signals recognition is more effective • Modular network structure makes its development quick and easy • Application of the neural networks - promising The Application of Neural Networks in Radar Signals Recognition 11/12

  12. Thank you for attention Bożena Kunka The Application of Neural Networks in Radar Signals Recognition 12/12

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