tuzsutТруды учебных заведений связиProceedings of Telecommunication Universities1813-324X2712-8830СПбГУТ10.31854/1813-324X-2018-4-4-85-101tuzsut-52Research ArticleСтатьиОбзор моделей радиоканала связи с беспилотными летательными аппаратамиSurvey of Radio Communication Channel Models for Unmanned Aerial VehiclesФокинГ. А.FokinG. ..grihafokin@gmail.comСанкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-БруевичаРоссияThe Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsRussian Federation2018070420214485101Copyright © Фокин Г.А., 20212021Фокин Г.А.Fokin G...This work is licensed under a Creative Commons Attribution 4.0 License.https://tuzs.sut.ru/jour/article/view/52

В настоящем исследовании был проведен обзор моделей канала связи с беспилотными летательными аппаратами по материалам последних экспериментальных исследований под эгидой НАСА. Для формализации моделей радиоканала было выполнено их подразделение на различные сценарии функционирования: над водой, в холмистой местности, в горах, а также в городе и пригороде. Для каждого сценария были проанализированы различные характеристики измерений радиоканала, такие как потери распространения, учет многолучевых компонент, среднеквадратическое расширение задержки, интервал стационарности, K-фактор Райса, корреляция принятых сигналов. Результаты проведенного анализа позволяют обосновать выбор методов обработки навигационных измерений в задачах позиционирования с использованием воздушного сегмента на основе беспилотных летательных аппаратов.

In this study we reviewed the models of the communication channel with unmanned aerial vehicles based on the latest experimental studies under the auspices of NASA. To formalize the radio channel models, they were divided into various functional scenarios: above water, in hilly terrain, in the mountains, and also in the city and suburb. For each scenario, various characteristics of radio channel measurements were analyzed, such as: propagation loss, consideration of multipath components, root-mean-square delay expansion, stationarity interval, Rice K-factor, correlation of received signals. The results of the analysis allow us to justify the choice of methods for processing navigation measurements in positioning tasks using the air segment based on unmanned aircraft.

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The authors declare that there are no conflicts of interest present.