Assurance of operation accuracy of neural network device for estimation of harmonic signals values in radio systems
One of the acute trends of enhancement of radio systems is the application of more efficient approaches to estimation of harmonic signals against background noises. Nowadays there is a number of methods and algorithms in the statistical theory of radio systems which allow to estimate such values as range, phase, signal frequency, both for the continuous sampling, and for the discrete one. Survey of domestic and foreign technological publications demonstrates that potential information processing and transformation accuracy by neural network algorithms is higher than of their analogues with classic von Neumann architecture for a wide range of problems. However, imperfection of engineering methods of designing artificial neural networks (ANN) frequently leads to the situation when the accuracy received in computer simulation is not assured in actual practice of exploitation under the action of internal or external destabilizing factors. The authors suggest new semi theoretical approach to assure ANN operation accuracy at the expense of the registration of device tolerances at the stage of development engineering. At the same time an additional task is set for choosing characteristics of ANN (number of neurons) when the net could keep the accuracy reached after instruction at the given interval of destabilizing actions. The suggested approach is applied in the development of neural network algorithm of estimation of values (range, phase, frequency) of harmonic signals. The results of investigation demonstrate that the accuracy of values estimation of harmonic signals of ANN is 1, 5-2 times higher, than by the maximum likelihood method. The structures and neurons characteristic tolerances when maximum accuracy of ANN operation for a wide range interval of destabilizing actions of different origin are set. It is possible to determine requirements to the element base of hardware components for ANN using the achieved results. The conducted investigations have shown that the developed algorithm allows to design ANN with the given accuracy of their operation under the conditions of actual destabilizing actions and could be recommended for practical application in radio systems when solving a wide range of applied problems.