| Authors |
Markov Yuriy Viktorovich, candidate of technical sciences, associate professor, department of radioelectronics and communications, Institute of Radioelectronics and Information Technologies, Ural Federal University named after the first President of Russia B. N. Yeltsin (32 Mira street, Ekaterinburg, Russia), E-mail: asdal@mail.ru
Bokov Aleksandr Sergeevich, сandidate of technical sciences, senior scientist researcher, department of radioelectronics and communications, Institute of Radioelectronics and Information Technologies, Ural Federal University named after the first President of Russia B. N. Yeltsin (32 Mira street, Ekaterinburg, Russia), E-mail: a.s.bokov@urfu.ru
Vazhenin Vladimir Grigor'evich, candidate of technical sciences, associate professor, department of radioelectronics and communications, Institute of Radioelectronics and Information Technologies, Ural Federal University named after the first President of Russia B. N. Yeltsin, head of Science Research Center for Radioelectronic Systems of Aerial Vehicles (32 Mira street, Ekaterinburg, Russia), E-mail: v.g.vazhenin@urfu.ru
Mukhin Vladimir Vital'evich, candidate of technical sciences, deputy the general director-main designer for research and development, JSC «Ural Design Bureau «Detal» (8 Pionerskaya street, Sverdlovsk Region, Kamensk-Uralsky, Russia), E-mail: upkb@nexcom.ru
Nesterov Mikhail Yur'evich, doctor of technical sciences, head of department, JSC «Ural Design Bureau «Detal» (8 Pionerskaya street, Sverdlovsk Region, Kamensk-Uralsky, Russia), E-mail: mn@list.ru
Iofin Aleksandr Aronovich, candidate of technical sciences, deputy the main designer, JSC «Ural Design Bureau «Detal» (8 Pionerskaya street, Sverdlovsk Region, Kamensk-Uralsky, Russia), E-mail: upkb@nexcom.ru
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| Abstract |
Background. The development and improvement of airborne radar systems for remote sensing is relevant for improving the accuracy and safety of flights, especially with automatic navigation and unmanned use, as well as with poor visibility, at high speeds (not allowing manual piloting) or in bad weather conditions. For the development and research of signal processing algorithms adopted by the radar, it is advisable to use computer mathematical modeling.
Materials and methods. Using well-known algorithms and mathematical expressions, a model of the reflected signal for multichannel airborne radars is built. The constructed mathematical model was software implemented in the MATLAB environment. When modeling, additional signal processing is carried out, expressed in constructing a radar image of the surface.
Results. A model of reflected signals was developed and implemented, which allows one to construct and study radar images of the surface in a wide range of radar conditions.
Conclusions. The developed model and its implementation allow the study of signals and radar data in the range-Doppler coordinates, which can be used to solve a wide range of radar and radio navigation issues.
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