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Journal Radioengineering №1 for 2012 г.
Article in number:
Recognition of the Person in the Conditions of Influence of Animals for the One-Item Radiowave Sensor
Authors:
N.V. Onufriev, A.V. Skridlevsky
Abstract:
As a result of theoretical calculations of mathematical model one-positional radio wave sensor (OPRWS) and the empirical data received during natural experiment arrays of quantitative values of signs objects are generated, which expectations and mean squared deviations are defined by a kind of influencing object. The probability description of classes is made for construction system of recognition OPRWS in language of signs. Construction of function of density is made by direct processing of the initial aprioristic information. On the basis of the received data, it is spent binary (the person - an animal) classification of distributions signs of objects available in sample. The received theoretical dependences factor of reflexion on distance to object of detection were used as training sample. As the test data was used data received experimentally. Analyzing the received dependences, the made conclusion about that presented OPRWS possesses high potential of recognition the person in the conditions influence of animals. However in such execution, the system of a location is necessary for definition of distance to moving object with demanded accuracy for means.
Pages: 20-22
References
- Горелик Л.А. Скрипкин В.А. Методы распознавания: учеб. пособие для вузов. М.: Высш. шк. 1989.
- Скридлевский А.В. Математическая модель функционирования точечного радиоволнового средства обнаружения с учетом воздействия факторов биосферы // Радиотехника (Журнал в журнале). 2010. №2.
- Скридлевский А.В., Онуфриев Н.В., Соколова М.А. Распределение образов биологических объектов в пространстве признаков точечного радиоволнового средства обнаружения // Науч.-метод. сб. Территориально распределенные системы охраны. Ч. 2 / КПИ ФСБ России. 2010. №3.
- Вентцель Е.С. Теория вероятностей: учебник для студентов вузов. М.: Академия. 2003.