Guiding an Unmanned Aerial Vehicle with a Thermal Imaging Correlation-Contrast Algorithm of Automatic Tracking in Conditions of Information Counteraction
IF 0.5 4区 计算机科学Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
V. A. Boldinov, V. A. Bukhalev, A. A. Skrynnikov, B. L. Shapiro
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引用次数: 0
Abstract
The problem of constructing an algorithm for automatic tracking of a ground object for a guidance system (GS) for an unmanned aerial vehicle (UAV) is considered. The guidance system includes a thermal imaging target coordinator with a combined correlation-contrast direction finding algorithm and a strapdown inertial navigation system. Guidance takes place under conditions of information counteraction, which causes random interruptions in information and random changes in the power of interference, which are recorded by the corresponding indicators. A combined noise-resistant automatic tracking algorithm is obtained, using the readings of information interruption indicators, interference power, and measuring bearing angles, based on the theory of systems with a random jump structure. An example is given that illustrates the operation of the algorithm and demonstrates the satisfactory accuracy of automatic tracking.
期刊介绍：
Journal of Computer and System Sciences International is a journal published in collaboration with the Russian Academy of Sciences. It covers all areas of control theory and systems. The journal features papers on the theory and methods of control, as well as papers devoted to the study, design, modeling, development, and application of new control systems. The journal publishes papers that reflect contemporary research and development in the field of control. Particular attention is given to applications of computer methods and technologies to control theory and control engineering. The journal publishes proceedings of international scientific conferences in the form of collections of regular journal articles and reviews by top experts on topical problems of modern studies in control theory.
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