Search academic texts

Information × Registration Number 0218U000111, 0117U004286 , R & D reports Title Development of optical infrasound sensor and it is application to up-grade the acoustic reconnaissance system popup.stage_title Head Gokhman Oleksander, Registration Date 18-01-2018 Organization South Ukranian State Pedagogical University named after K.D. Ushynskyy popup.description2 Object of research: acoustic sensors, location algorithms, support and target recognition. The purpose of the study: To develop an active model of the infrasonic sensor with an optical signal converter and determine the set of optimal algorithms for the functioning of the acoustic intelligence-signaling system (AISS). Research methods and equipment: With the help of specialized finite element modeling software, the transfer function of the future sensor is determined. By means of correction of the transfer function by the typical dynamic links, the desired amplitude-frequency characteristic and the feedback signal equation, that provides it, is obtained. For manufacturing of the sensor a machine with a numerical control program of duralumin alloy is used; printed circuit boards, which are obtained by soldering station lithographic method with the use of elements for surface mounting. The methods of analysis and synthesis are used to make up an overview of the algorithms of the AISS functioning in order to select a set of high-speed algorithms that minimize the error of determining the spatial coordinates of the object under observation at any given time; reliable object recognition and prediction of its trajectory within a given time interval. Theoretical and practical results, novelty: A prototype of a fundamentally new optic infrasonic sensor, whose feedback is calculated by the built-in microprocessor, which allowed the abandonment of analog control circuits, and additional means for increasing the signal-to-noise ratio, was created.The technology of their production, replication and adjustment, in particular calibration, has been substantially simplified due to the elimination of manual selection of resistors and capacitors; improved performance, high degree of miniaturization and impedance protection. A set of optimal algorithms that implement the gradient descent method for location, the method of Kohonen neuronal networks - for recognition and the method of adaptive filtration by Kalman - is used to predict the coordinates of the object under observation at time. Sphere (industry) of use: development and optimization of schemes of construction of optical and optical electronic devices and their systems, in particular acoustic intelligence-signaling systems. Product Description popup.authors Аров Д.З. Голованов В.В. Гохман О.Р. Драгомерецька О.А. Жуковський В.К. Кондря М.С. Совкова Т.С. popup.nrat_date 2020-04-02 Close