Statistical phenomena of greater distributed clusters of nanosatellites

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Abstract

The paper deals with the solution of the Earth remote sensing problem by a cluster of ordinary nanosatellites combined in a network and distributed over the inter-turn interval of the orbit. The number of nanosatellites in a cluster used to perform global observations for 24 hours can be determined by statistical modeling on square matrices, taking into account uncontrollable and random position of such satellites in a cluster. Another statistical phenomenon is investigated along with the percolation threshold, namely, the point of maximum clusterization possessing robustness.

About the authors

J. A. Mostovoy

Samara State Aerospace University

Author for correspondence.
Email: jakob.mostovoi@yandex.ru

Doctor of Technical Sciences

Professor

Professor of the Department of Geoinformatics and Information Security

Russian Federation

References

  1. Тарасевич, Ю. Ю. Перколяция: теория, приложения, алгоритмы. / Ю. Ю. Тарасевич. – Москва: УРСС, 2002. – 109с.
  2. www.portalnano.ru/read/prop/pro/materials/functional/4cosmos/nanosatellites.
  3. Москалев, П. В. Математическое моделирование пористых структур. / П. В. Москалев, В. В. Шитов. – Москва: Физматлит, 2007. – 120 с.
  4. Ландэ, Д. В. Интернетика: Навигация в сложных сетях: модели и алгоритмы. / Д. В. Ландэ, А. А. Снарский, И. В. Безсуднов. – Москва: Книжный дом «Либерком», 2009. – 264 с.

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