Link adaptation for Ka band low Earth orbit Earth Observation systems: A realistic performance assessment

Toptsidis, Nikolaos; Arapoglou, Pantelis-Daniel; Bertinelli, Massimo

doi:10.1002/sat.1002

Cited by 27 publications

(28 citation statements)

References 18 publications

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“…To exploit this fact, the pass is split into smaller sectors and for each sector the most suitable out of the available ModCods is selected. This is the VCM concept [8] and it yields significant gains in data return compared to using only a single ModCod format over the whole pass. For the results presented hereinafter, the number of sectors as well as their starting elevation angle have been optimized for each ground location.…”

Section: Mass (Kg) Power Consumption (W) Volumementioning

confidence: 98%

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Performance Evolution of Payload Data Telemetry for Earth Observation LEO Satellites

Bertinelli¹,

Arapoglou²,

Ginesi³

2013

31st AIAA International Communications Satellite Systems Conference

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The paper aims at providing a preview of the performance evolution for a specific category of space mission, namely the high data rate payload data telemetry from a low Earth orbit (LEO) spacecraft to ground for Earth observation data downlink. This is done in order to assess the potential of the next generation of these systems as well as to provide a performance benchmark against which future developments -also based on alternative technologies such as optical transmission-may be compared. The key improvements come from adopting different link adaptation schemes. I. Background & ScopeConventional Earth Observation (EO) missions employing low Earth orbit (LEO) satellites commonly operate at the X frequency band and rely on a single transmission format. Nonetheless, the ever increasing mission requirements for relaying large volumes of EO data of higher temporal, spatial and spectral resolution is leading EO systems to migrate to higher frequency bands -such as the K band (25.5-27 GHz)-where large amounts of uncongested spectrum are available. Crossing the 10 GHz limit gives rise to significant tropospheric phenomena, including (in sequence of importance) rain attenuation, cloud attenuation, scintillations and gaseous absorption [1]. In the case of LEO satellite systems, these phenomena become even more pronounced compared to typical GEO configurations since the satellite is mobile and transmission is also taking place over very low elevation angles. Apart from the random propagation effects, the movement of the LEO spacecraft relative to a fixed ground station by itself introduces variability of the slant path geometry.The above geometrical and atmospheric factors contribute to a large dynamic power range during a visible pass of the LEO satellite over a specific ground station, a fact that renders the worst case dimensioning of the system margin a waste of available system degrees-of-freedom. Although suffering much less from extreme propagation impairments, link adaptation based on the varying geometry can also bring merits to the EO system counterparts in X band. To alleviate this inefficiency, link adaptation policies for LEO EO systems operating at K band are considered in this paper. Link adaptation is based on the concept of balancing the link budget through a periodical or adaptive variation of the coding rate, the modulation order or the data rate, or any combination thereof.For realistically assessing the performance of such link adaptation schemes, we employ state-of-the-art building blocks. The physical layer air interface assumed in our study is in accordance with the serially concatenated convolutional code (SCCC)-based CCSDS a standard [2]. Propagation modeling is according to the latest updates of ITU-R (International Telecommunications Union -Radiocommunications Sector). Series P Recommendations. Note that similar link adaptation techniques for EO missions are increasingly attracting the interest of the space industry [3], [4]. Alternatively to RF, technologies operating at optical wavelengths o...

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Section: Mass (Kg) Power Consumption (W) Volumementioning

confidence: 98%

“…Although for commercial telecom GEO missions VCM and ACM have long been realized as part of the DVB-S2 standard [7], introducing such advanced physical layer techniques into other types of missions is a recent trend investigated by the industry (e.g. for LEO, see [8], [3], [4]). …”

Section: Iid Advanced Physical Layer Techniquesmentioning

confidence: 99%

Performance Evolution of Payload Data Telemetry for Earth Observation LEO Satellites

Bertinelli¹,

Arapoglou²,

Ginesi³

2013

31st AIAA International Communications Satellite Systems Conference

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“…This alignment may be a function of the position of the terminal in the FOV and for LEO satellites, this may change on each pass. While link margin (worst case) is key for system design, channel modelling over the FOV can give insights for development of advanced communication and signal processing techniques including adaptive modulation and coding [15], polarization coding and multiplexing [8], beamforming, interference cancellation and multiuser discrimination detection.…”

Section: Power Transfer With Polarisation Mismatchmentioning

confidence: 99%

A polarimetric line-of-sight channel model for MIMO satellite communications

Lawrence

Davis

Haley

2013

2013 Australian Communications Theory Workshop (AusCTW)

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Spatial multiple-input multiple-output (MIMO) offers increased rate and/or reliability in rich scattering environments such as that of a multipath non-line-of-sight (NLOS) channel. In line-of-sight (LOS) dominated conditions, spatial diversity is reduced.Dual polarisation signalling has been shown to successfully exploit polarisation diversity when LOS is dominant. For satellite systems, such state-of-the-art dual-polarisation techniques do not currently account for the 3D geometry of the link, and specifically the polarisation mismatch from misalignment of the antenna elements. Performance loss due to the mismatch in antenna orientation can be overcome by using 3D polarimetric antennas at both the transmitter and receiver.In this paper, we present a novel polarimetric LOS MIMO channel model by combining satellite geometry, the Friis equation and polarisation mismatch. Our emphasis is on polarisation mismatch and how this varies over the field-of-view (FOV). Our model offers the opportunity for 3D polarimetric signalling techniques to deliver enhanced and more consistent link performance over the FOV.

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“…This change of modcod is scheduled based on ephemerides data. In presence of a return channel, this technique remains far less efficient than an adaptation of the physical layer in near-real time through adaptive coding and modulation (ACM) [3]. To evaluate precisely the performance of those techniques realistic propagation inputs need to be at disposal.…”

Section: Introductionmentioning

confidence: 99%

Space-time channel model for the analysis of LEO to ground Ka band data download links. Presentation of the model and applications

Jeannin¹,

Castanet²,

Lacoste³

2013

31st AIAA International Communications Satellite Systems Conference

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This paper presents a model to simulate the propagation conditions on the data downlink between a non geostationary satellite and a network of ground stations operating at Ka band. It relies on a model to simulate meteorological fields in space and in time initially designed to evaluate the propagation impairments for fixed satellite system. After a brief description of the basics of the model, the adaptations made to adapt it to links between a non geostationary satellite and a ground station are presented. Lastly some examples of use of the results generated with the model are presented.

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Link adaptation for Ka band low Earth orbit Earth Observation systems: A realistic performance assessment

Cited by 27 publications

References 18 publications

Performance Evolution of Payload Data Telemetry for Earth Observation LEO Satellites

Performance Evolution of Payload Data Telemetry for Earth Observation LEO Satellites

A polarimetric line-of-sight channel model for MIMO satellite communications

Space-time channel model for the analysis of LEO to ground Ka band data download links. Presentation of the model and applications

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