每年出版 12 期
ISSN 打印: 0040-2508
ISSN 在线: 1943-6009
Indexed in
SIGNAL PROCESSING IN THE INTELLIGENCE SYSTEMS OF DETECTING LOW-OBSERVABLE AND LOW-DOPPLER AERIAL TARGETS
摘要
It is proposed to improve the effectiveness of survey radars in detecting and recognizing low-visible and low-Doppler air objects by creating special (virtual) space-time images for accumulating both energy and semantic components of signal information using the mathematical apparatus of algebra of finite predicates. It is shown how this approach can be used to detect and recognize low-Doppler aircraft, which can be both in flight mode and in hang mode. Such signaling information will be accompanied by different semantic distinctive features: a sign of a trace and sign of the signal repetition.
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Shubin Igor, Solonska Svitlana, Snisar Stanislav, Zhyrnov Volodymyr, Slavhorodskyi Vlad, Skovorodnikova Victoria, Efficiency Evaluation for Radar Signal Processing on the Basis of Spectral-Semantic Model, 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020. Crossref
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Solonska Svitlana, Zhyrnov Volodymyr, Holovin Oleksiy, Semantic Processing of Radar Spectral Information for Air Object Recognition, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 2019. Crossref
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Solonska Svitlana, Zhyrnov Volodymyr, Adaptive Semantic Analysis of Radar Data Using Fuzzy Transform, in Data-Centric Business and Applications, 48, 2021. Crossref
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Zhyrnov Volodymyr, Solonska Svitlana, Basova Anna, Formal Representation of Information Processing in Intelligent Surveillance Radar Systems, 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T), 2020. Crossref