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scientific edition of Bauman MSTU


Bauman Moscow State Technical University.   El № FS 77 - 48211.   ISSN 1994-0408

Intermediate Frequency Hydro-acoustic Signal Simulation

# 12, December 2016
DOI: 10.7463/1216.0853895
Article file: SE-BMSTU...o299.pdf (976.30Kb)
authors: I.A. Rozanov1, A.A. Sotnikov1,*

1 Bauman Moscow State Technical University, Moscow, Russia

HIL-modeling is an efficient tool to improve mathematical and algorithmic support and software of sonar complexes at the stages of laboratory and pre-factory tests. In real time simulation a balance has to be struck between the approximation of the physical process and the computer performance of the system that is used for modeling.
The authors have offered a modeling method of hydro-acoustic signals at the point of receiver of a sonar complex system at heterodyne frequency and developed a mathematical model of the most typical signals in the field of active sonar. The model differs from the known ones by the lower requirements for computer performance, which is necessary to improve the accuracy and to ensure the adequacy of the model and signal samples in real time. The offered model is generic and can be extended. Thus, it can be adapted for solving the specific tasks taking into consideration a set of the article’s assumptions and restrictions formulated regarding the proposed modeling method.
A real-world application of the model expects not only software development and enhancement, but also operation supervision of on-board control systems of the sonar complexes during acceptance tests at the factory. An agile mechanism to control the parameters of a location and water medium object enables providing complete test coverage of all the states of the system to be controlled.
The experiments in processing of received signals based on the on-board control system of the sonar complex have been implemented within the framework of a number of the research and development activities conducted by the Research Institute of Informatics and Control Systems at Bauman Moscow State University.
Authors' further research is to be aimed at model development via enhancing the set of elementary sonar signals generated, as well as at optimizing their computation time and increasing the model accuracy.

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