Mobile satellite reception with a virtual satellite dish based on a reconfigurable multi-processor architecture

Burgwal, M.D. van de; Rovers, Kenneth C.; Blom, Koen; Kokkeler, André B.J.; Smit, Gerard J. M.

doi:10.1016/j.micpro.2011.08.005

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…In dynamic scenarios, it is necessary to reconfigure the antenna radiation pattern to maintain high data rate, serve a new coverage zone, and limit fading in rainy areas at all possible frequency bands of operation. The dynamic scenarios including satellite and terminal tracking are discussed in [26,50,[62][63][64]. In the adaptive beam scanning system, the antenna should automatically change its radiation beam direction corresponding to the various propagation environments or moving target, such as in the system of radar and remote sensing [65][66][67][68].…”

Section: Applicationsmentioning

confidence: 99%

Overview on Multipattern and Multipolarization Antennas for Aerospace and Terrestrial Applications

Chen

Jiang

Chen

et al. 2013

International Journal of Antennas and Propagation

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In recent years, reconfigurable antennas, with the ability to radiate wave in more than one pattern and polarization, play a great role in modern telecommunication systems. Compared with conventional antennas, multipattern and multipolarization antennas have more advantages and better prospects. They can be used to improve system gain and security, satisfy system requirements, avoid noisy environment, and adapt to the environment flexibly. This paper discusses different patterns and polarizations of reconfigurable antennas according to current research work in this area. In the opinion of this paper, the radiation pattern states of antennas include beam direction, shape, and gain. The polarization states of antennas include horizontal/vertical linear, ±slant 45° linear, left-hand or right-hand circular polarized. Different multipattern and multipolarization antennas with various structures and working mechanisms are compared and discussed. Multipattern and multipolarization antennas have been well applied for aerospace and terrestrial applications, such as dynamic scenarios, adaptive beam scanning, and multiple-input-multiple-output (MIMO) systems.

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Section: Applicationsmentioning

confidence: 99%

Overview on Multipattern and Multipolarization Antennas for Aerospace and Terrestrial Applications

Chen

Jiang

Chen

et al. 2013

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…For brevity the beam-control processing is left out. See [1] for more about beam-control processing on a multi-core platform. The system consists of (i) the parallel composition of a frontend for each antenna, (ii) a part which processes the outputs from these antenna frontends and produces beams, and (iii) the parallel composition of a sink (snk) for each beam to plot the result, i.e.…”

Section: Systemmentioning

confidence: 99%

UniTi: Unified Composition and Time for Multi-domain Model-based Design

Rovers

Kuper

2012

Int J Parallel Prog

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To apply model-based design to embedded systems that interface with the physical world, including simulation and verification, current tools fall short. They must provide mathematical (model) definitions that stay close to the specification of the system. They must allow multiple domains, such as the continuous-time (CT), discrete-time (DT) and dataflow (DF) domain, in a single model including welldefined interaction. They must support model transformations for refining a model during development. And most importantly, they must accurately include and simulate different notions of time in the model. UNITI is a model-based design flow and modelling and simulation environment that delivers on all these aspects. It is based on components that are signal transformations, and therefore mathematical functions. However, in each domain the representation of a signal differs. As components have the same structure in each domain, we can use unified composition operators to represent multiple domains in a single model. Furthermore, this composition provides a unified perspective on time in the domains, even though we differentiate between different notions of time. Time becomes a local property of the model, allowing us to represent and simulate time transformations such as time delays exactly without losing efficiency. Finally, model transformations are defined for such components, which are used for refining and developing the model and which are guided by the design steps in the design flow. We will formally define the domains, composition operators and transformations of UNITI and verify the approach with a case study on a phased array beamforming system.

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Mobile satellite reception with a virtual satellite dish based on a reconfigurable multi-processor architecture

Cited by 2 publications

References 25 publications

Overview on Multipattern and Multipolarization Antennas for Aerospace and Terrestrial Applications

Overview on Multipattern and Multipolarization Antennas for Aerospace and Terrestrial Applications

UniTi: Unified Composition and Time for Multi-domain Model-based Design

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