17 research outputs found

    Atmospheric channel for bistatic optical communication: Simulation algorithms

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    Three algorithms of statistical simulation of the impulse response (IR) for the atmospheric optical communication channel are considered, including algorithms of local estimate and double local estimate and the algorithm suggested by us. On the example of a homogeneous molecular atmosphere it is demonstrated that algorithms of double local estimate and the suggested algorithm are more efficient than the algorithm of local estimate. For small optical path length, the proposed algorithm is more efficient, and for large optical path length, the algorithm of double local estimate is more efficient. Using the proposed algorithm, the communication quality is estimated for a particular case of the atmospheric channel under conditions of intermediate turbidity. The communication quality is characterized by the maximum IR, time of maximum IR, integral IR, and bandwidth of the communication channel. Calculations of these criteria demonstrated that communication is most efficient when the point of intersection of the directions toward the source and the receiver is most close to the source point. Β© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

    ΠœΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²Ρ‹Ρ… ΠΊΠ°Π½Π°Π»ΠΎΠ² связи для ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мобильной ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰Π΅ΠΉΡΡ сСти

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    Π‘ΡƒΡ€ΠΆΠΈΠΊ, Π”. И. ΠœΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²Ρ‹Ρ… ΠΊΠ°Π½Π°Π»ΠΎΠ² связи для ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мобильной ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰Π΅ΠΉΡΡ сСти / Π”. И. Π‘ΡƒΡ€ΠΆΠΈΠΊ, О. Π . ΠšΡƒΠ·ΠΈΡ‡ΠΊΠΈΠ½, Π“. Π‘. Π’Π°ΡΠΈΠ»ΡŒΠ΅Π² // Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² Π½Π°ΡƒΠΊΠ΅, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈ производствС (ИВНОП-2020) : сб. ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² VIII ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€. Π½Π°ΡƒΡ‡.-Ρ‚Π΅Ρ…Π½. ΠΊΠΎΠ½Ρ„., Π‘Π΅Π»Π³ΠΎΡ€ΠΎΠ΄, 24-25 сСнт. 2020 Π³. / М-Π²ΠΎ Π½Π°ΡƒΠΊΠΈ ΠΈ Π²Ρ‹ΡΡˆΠ΅Π³ΠΎ образования Π Π€, НИУ Π‘Π΅Π»Π“Π£ ; ΠΎΡ‚Π². Ρ€Π΅Π΄. Π•. Π’. Π‘ΠΎΠ»Π³ΠΎΠ²Π°. - Π‘Π΅Π»Π³ΠΎΡ€ΠΎΠ΄, 2020. - Π‘. 120-123. - Π‘ΠΈΠ±Π»ΠΈΠΎΠ³Ρ€.: с. 123.ΠžΠ±ΡΡƒΠΆΠ΄Π°ΡŽΡ‚ΡΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ модСлирования ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²Ρ‹Ρ… ΠΊΠ°Π½Π°Π»ΠΎΠ² связи для ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мобильной ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰Π΅ΠΉΡΡ сСти (Mobile Ad-Hoc Network, MANET). Π’Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΡ‚Π΅Ρ€ΡŒ распространСния излучСния Π² оптичСском ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²ΠΎΠΌ ΠΊΠ°Π½Π°Π»Π΅ для одноканального ΠΈ многоканального Ρ€Π΅ΠΆΠΈΠΌΠ° связ

    Алгоритм модСлирования характСристик ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²Ρ‹Ρ… ΠΊΠ°Π½Π°Π»ΠΎΠ² связи бСспроводной ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰Π΅ΠΉΡΡ сСти

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    Алгоритм модСлирования характСристик ΡƒΠ»ΡŒΡ‚Ρ€Π°Ρ„ΠΈΠΎΠ»Π΅Ρ‚ΠΎΠ²Ρ‹Ρ… ΠΊΠ°Π½Π°Π»ΠΎΠ² связи бСспроводной ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰Π΅ΠΉΡΡ сСти / Π“.Π‘. Π’Π°ΡΠΈΠ»ΡŒΠ΅Π² [ΠΈ Π΄Ρ€.] // Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² Π½Π°ΡƒΠΊΠ΅, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈ производствС (ИВНОП-2020) : сб. ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² VIII ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€. Π½Π°ΡƒΡ‡.-Ρ‚Π΅Ρ…Π½. ΠΊΠΎΠ½Ρ„., Π‘Π΅Π»Π³ΠΎΡ€ΠΎΠ΄, 24-25 сСнт. 2020 Π³. / М-Π²ΠΎ Π½Π°ΡƒΠΊΠΈ ΠΈ Π²Ρ‹ΡΡˆΠ΅Π³ΠΎ образования Π Π€, НИУ Π‘Π΅Π»Π“Π£ ; ΠΎΡ‚Π². Ρ€Π΅Π΄. Π•. Π’. Π‘ΠΎΠ»Π³ΠΎΠ²Π°. - Π‘Π΅Π»Π³ΠΎΡ€ΠΎΠ΄, 2020. - Π‘. 148-153. - Π‘ΠΈΠ±Π»ΠΈΠΎΠ³Ρ€.: с. 153.ΠŸΠ΅Ρ€ΡΠΏΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌ ΠΈ ΠΌΠ°Π»ΠΎΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ являСтся построСниС ΠΌΠΎΠ±ΠΈΠ»ΡŒΠ½Ρ‹Ρ… ΡΠ°ΠΌΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ…ΡΡ сСтСй (Mobile Ad-Hoc Network, MANET) с Π£Π€ ΠΊΠ°Π½Π°Π»ΠΎΠΌ связи для примСнСния Π½Π° Π²ΠΎΠ΅Π½Π½Ρ‹Ρ… ΠΈ Π΄Ρ€ΡƒΠ³ΠΈΡ… отвСтствСнных ΠΈ опасных ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°Ρ…. Для создания сСтСй Π£Π€ связи с высокими Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΎ-тСхничСскими ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ трСбуСтся Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° эффСктивных Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² модСлирования Ρ‚Π°ΠΊΠΈΡ… систС

    Application of fuzzy synchronization in the NLOS UV communication system

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    To ensure the effective operation of UV-C communication systems in the non-line-of-sight (NLOS) mode, synchronization between an optical transmitter and an optical receiver is often required. The complex noise-like nature of the signal on the receiving side of the UV-C communication system determines the relevance of using various methods for synchronizing UV-C communication systems based on the neuro-fuzzy approac

    Methodology for estimating the energy reserve of a mobile adhoc communication network with UV-C channel

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    Communication systems of the solar-blind ultraviolet range UV-C from 200 to 280 nm provide the possibility of communication in the absence of line of sight due to the strong scattering of UV radiation in the atmosphere. For the effective use of UV-C communication systems, an adequate assessment of the energy budget of the UV channel is necessar
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