Link budget analysis for a LEO cubesat communication subsystem

Latachi, Ibtissam; Karim, Mohamed Rehan; Hanafi, Ahmed; Rachidi, Tajjeeddine; Khalayoun, Ahmed; Assem, Nasser; Dahbi, Sanae; Zouggar, Smail

doi:10.1109/atsip.2017.8075571

Cited by 20 publications

(11 citation statements)

References 1 publication

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“…This section discusses the link budget expression for the downlink, i.e., CubeSat-to-ground communications. The link design must ensure the ability to transmit and receive data directly from space to Earth or through one or more communication relays [48], [92]. A link budget is a set of parameters that define a communication link in terms of the power available for a reliable connection between the transmitter and receiver.…”

Section: Link Budgetmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Almorad³

et al. 2020

IEEE Commun. Surv. Tutorials

214

142

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Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as Cube-Sats, which are enticing because of their numerous applications and low design-and-deployment cost. The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity. CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system. This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives. We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking. Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.

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Section: Link Budgetmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Almorad³

et al. 2020

IEEE Commun. Surv. Tutorials

214

142

View full text Add to dashboard Cite

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“…However, we seek higher moments of n to provide tighter bounds. As observable from the right hand side of (18), to bound SOP we need to calculate the central moments of T RF I , i.e.,…”

Section: H Correcting For Rfi In Smap's Measurementsmentioning

confidence: 99%

Opportunistic Temporal Spectrum Coexistence of Passive Radiometry and Active Wireless Networks

Koosha

Mastronarde

2022

2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW)

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The rapid growth of wireless technologies has fostered research on spectrum coexistence worldwide. One idea that is gaining attention is using frequency bands solely devoted to passive applications, such as passive remote sensing. One such option is the 27 MHz L-band spectrum from 1.400 GHz to 1.427 GHz. Active wireless transmissions are prohibited in this passive band due to radio regulations aimed at preventing Radio Frequency Interference (RFI) on highly sensitive passive radiometry instruments. The Soil Moisture Active Passive (SMAP) satellite, launched by the National Aeronautics and Space Administration (NASA), is a recent space-based remote sensing mission that passively scans the Earth's electromagnetic emissions in this 27 MHz band to assess soil moisture on a global scale periodically. This paper evaluates using the restricted L-band for active terrestrial wireless communications through two means. First, we investigate an opportunistic temporal use of this passive band within a terrestrial wireless network, such as a cluster of cells, during periods when there is no Line of Sight (LoS) between SMAP and the terrestrial network. Second, leveraging stochastic geometry, we assess the feasibility of using this passive band within a large-scale network in LoS of SMAP while ensuring that the error induced on SMAP's measurements due to RFI is below a given threshold. The methodology established here, although based on SMAP's specifications, is adaptable for utilization with various passive sensing satellites regardless of their orbits or operating frequencies.

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“…It is therefore highly recommended to use omnidirectional antennas. On the other hand, Faraday rotation phenomena might result in sever misalignments of ground and space antennas, especially when a linear-linear configuration is used [35]; thus, it is preferable to use circular polarization at least at one end of the link. Only during the initial stages of the project, it was decided to use passive attitude control for Masat-1.…”

Section: Case Study: Design and Analysis Of A Half-wave Dipole For Masat-1 Missionmentioning

confidence: 99%

Cubesat Antenna Analysis and Design: Are you using the right computational electromagnetic tool?

Latachi

Rachidi

Karim

2021

AEM

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Antenna systems play a critical role in establishing wireless communication links and sustaining remote sensing requirements for Cubesat applications. In addition to the usual antenna design requirements, Cubesat-based spacecrafts impose additional stringent constraints related to the on-board available space, power consumption and development costs. To develop optimal antenna prototypes while considering all these constraints and decrease trial and error related costs, computational electromagnetics (CEM) simulation tools are used. The accuracy of simulation results depends to a great extent on the choice of the appropriate CEM tool for the particular antenna problem to be analyzed; ergo, identifying and answering key questions about design objectives and requirements is necessary for informed decision-making throughout the selection and design processes. However, this could be quite challenging because of existing gaps both in the practitioners’ knowledge about different CEM tools capabilities, limitations, and design know-how. This is especially true for non-specialists such as students and academics involved in student driven Cubesat projects. Therefore, the rationale of this manuscript is to bridge those gaps and clarify some common misconception commonly encountered during the selection and design processes. In that regard, first, an overview of existing antenna configurations commonly used in Cubesat communications is provided. Next, antenna design general workflow is presented. Then, capabilities and limitations of different CEM solving methods are presented. After that, CEM software selection process trade-offs and possible sources of errors are discussed from a practical viewpoint. Finally, a case study of Masat-1 antenna system design is presented as practical example.

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Link budget analysis for a LEO cubesat communication subsystem

Cited by 20 publications

References 1 publication

CubeSat Communications: Recent Advances and Future Challenges

CubeSat Communications: Recent Advances and Future Challenges

Opportunistic Temporal Spectrum Coexistence of Passive Radiometry and Active Wireless Networks

Cubesat Antenna Analysis and Design: Are you using the right computational electromagnetic tool?

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