Telemetry, Tracking, and Ground Station Architectures for Small Satellite Clusters

Author(s):  
Anuradha Chandrasekaran ◽  
K. Stewart ◽  
G. Murphy
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yan-Jie Song ◽  
Zhong-Shan Zhang ◽  
Kai Sun ◽  
Feng Yao ◽  
Ying-Wu Chen

Small satellite image downlink scheduling problem (SSIDSP) is an important part of satellite mission planning. SSIDSP mainly needs to balance how to better match the limited receiving capacity of the ground station with the limited satellite resources. In this paper, regional targets are considered with SSIDSP. We propose a mathematical model that maximizes profit by considering time value and regional targets. A downlink schedule algorithm (DSA) is proposed to complete the task sequence arrangement and generate scheduling results. A heuristic genetic algorithm (HGA) is used to optimize the generated task sequence to achieve higher profit. Three scale test instances are used to test the effectiveness of HGA and DSA. We compare the effect of HGA, basic genetic algorithm (GA), and construction heuristic algorithm. The experimental results proved that the proposed approach ensures the successful completion of observation tasks and is effective for SSIDSP.


2014 ◽  
Vol 875-877 ◽  
pp. 2092-2096
Author(s):  
Chafaa Hamrouni ◽  
Bilel Neji ◽  
Adel M. Alimi

Pico Satellite Telecommunication with Ground Station (GS) is Characterized by a Limitedline of Sight that Affects Transmission Delay and Data. in this Paper, a New Fuzzy Logic Control Systemmodel is Proposed to Ensure a Long Lasting Ground Station (G.S) Visibility to Pico Satellite Duringorbiting in Leo. Developed System is Helpful to Control Wave Propagation for Transmission. Presentedmethod Describes a Fuzzy Switching Control System for both Side Microstrip Antennas Array Systemmodel that Guarantee a Maximum Transmission Time and Achieves Small Satellite Communicationcontrol Performance with Simplified Control Scheme. the Method Includes Switched Systemmodeling, Fuzzy Control System Design, and Optimized Fuzzy Modeling Algorithm; in Addition Petri Netmodeling is Developed to Predict System Behavior. Added Algorithms were Simulated and Tested.Proposed System and Integrated Algorithms Performance were Demonstrated in the Reportedsimulations and Tests Results.


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