Modeling the Space Segment of Sea Vessel Identification System
Abstract
Introduction: Live experiments with detachable elements (final stages) of carrier rockets, transfer orbit stages and satellites in order to evaluate the potential for receiving automatic identification system signals in space are expensive. In some cases, using results of mathematical modeling is sufficient to obtain well-founded solutions for space system design and to plan the application of an orbital constellation in the future. Purpose: Developing a simulation model of space system functioning for automatic identification of sea vessels. Results: We have developed and implemented a simulation model which allows you to estimate the target indicators of space systems for sea vessel identification and locating, taking into account various spatial and energy factors and conditions for radio signal propagation, as well as the actual location of the controlled objects in the World ocean or coastal zones. With this model, varying its constraints and assumptions, you can, on the one hand, to compare the simulation results with analytical calculations and, on the other hand, to obtain estimates of space system target indicators under conditions as close to reality as possible. The adequacy of developed models and algorithms is confirmed by experimental studies of a sea vessel automatic identification system. Practical relevance: The presented model can be used to solve the following problems: estimating quantitative indicators of vessel detection quality for a given orbital constellation structure; selecting orbital constellation parameters for given indicators of sea vessel detection; evaluating the energy availability of the signals for various orbital motion parameters and other conditions.Published
2018-04-01
How to Cite
Skorokhodov, Y., & Andreev, A. (2018). Modeling the Space Segment of Sea Vessel Identification System. Information and Control Systems, (2), 36-48. https://doi.org/10.15217/issn1684-8853.2018.2.36
Issue
Section
System and process modeling