Uplink arraying analysis for NASA's Deep Space Network

Stadter, P.A.; Kantsiper, B.; Jablonski, D.G.; Golshan, A. R.; Costrell, James

doi:10.1109/aero.2010.5446932

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…The comparison between the analytical formulation, (17), and the numerical simulation is reported in Fig. 2.…”

Section: Phase Errorsmentioning

confidence: 99%

“…arrays composed of sub-wavelength elements with subwavelength reciprocal distances) are described in textbooks and previous works [12,13]. The development of the arrays composed of high-gain antennas for radio-astronomy induced the first studies specifically tailored to this type of arrays [14], whereas only in recent years the attention was focused on arrays for space communications, with theoretical works on phase errors [15,16], phase and pointing errors [17], phase and amplitude errors [18] and experimental works [19,20].…”

Section: Introductionmentioning

confidence: 99%

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Efficiency of arrays composed of high-gain reflector antennas

Pasian

Cametti

Bozzi

et al. 2012

IET Microwaves, Antennas &Amp; Propagation

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Arrays composed of high-gain reflector antennas are used for radio-astronomical purposes and, more recently, are proposed as ground station for deep space communications. This latter application requires a precise knowledge of the degradation that phase, amplitude and pointing fluctuations impose on the capability of the array to combine coherently the signal received or transmitted from each antenna. In this study, an analytical model for the fluctuation of each parameter (phase, amplitude and pointing) is derived and it is used to predict the efficiency of an array composed of an arbitrary number of high-gain reflector antennas. The analytical models are verified by numerical simulations and applied to an array layout currently proposed as possible future ground stations for the European Space Agency.

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“…The comparison between the analytical formulation, (17), and the numerical simulation is reported in Fig. 2.…”

Section: Phase Errorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficiency of arrays composed of high-gain reflector antennas

Pasian

Cametti

Bozzi

et al. 2012

IET Microwaves, Antennas &Amp; Propagation

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“…The vehicle networking model based on the air-space integration network extends the two-dimensional plane of the traditional road network to three-dimensional space. With the acceleration of the process of space-space integration, the U.S. National Aeronautics and Space Administration (NASA) has, in particular, established a space communication and navigation (SCAN) office to provide information on its space communication and navigation infrastructure; this included the near Earth network (NEN) [11], space network (SN) [12], and deep-space network (DSN) [13], carried out unified management and system integration, and began to build an integrated network for SCAN.…”

Section: B Expressway Sensing: the State-of-the-artmentioning

confidence: 99%

Sofware-Defined Space-Ground-Vehicle Integrated Network Architecture for Unconscious Payment

2022

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The continuous development trend of expressways urgently needs expressway sensing, which is required to be able to perceive unknown risk factors to ensure a safe and stable transportation environment as well as effectively and continuously monitor the safe operation of expressways. Using unconscious payment can greatly improve traffic efficiency and meet the development direction of intelligent transportation. However, charging errors occur when using unconscious payment, primarily because the expressway network fails to realize national networking. Most of the literature focuses on two aspects of sensing, transmission and computing, while research on the overall network architecture is lacking. A ground network cannot solve the network coverage problem in remote areas. Therefore, the basic infrastructure needed to realize expressway sensing includes both aerial and ground nodes, such as cars, roadside equipment, unmanned aerial vehicles, airships, and satellites. This network communication architecture requires effective management of infrastructure and support of various applications. The software-defined network has strong flexibility; thus, in this paper, we propose a software-defined spaceground-vehicle integrated network (SD-SGVIN) architecture that includes three layers: physical facility, logic control, and application. The SD-SGVIN can separate the highway sensing applications from the physical entity. All kinds of applications can acquire, transmit, and process vehicle data through a shared physical infrastructure. We discuss the design, implementation, and advantages of the proposed network structure, hoping to provide a new direction for the research and promotion of expressway sensing and unconscious payment.

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“…A lot of novel methods have been proposed to provide more reliable communication, which is shown as follows. [6][7][8][9][10][11][12][13] As the signal arriving from a receding deepspace spacecraft becomes weaker and weaker, the need arises for devising schemes to compensate the reduction in SNR. With maximum antenna apertures and lower receiver noise temperatures pushed to their limits, such as 70 m and 5 K respectively, one remaining method for improving the effective SNR is to combine the signals from several antennas.…”

Section: The Key Technologies Of Deep Space Communicationsmentioning

confidence: 99%