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Proceedings ArticleDOI

A Critical Assessment of Satellite Drag and Atmospheric Density Modeling

TLDR
In this article, the authors examine atmospheric drag models and data usage involved with propagating near-Earth satellites, and quantify sources of uncertainty in satellite propagation resulting from several atmospheric models, or from the treatment of input data indices.
Abstract
This paper examines atmospheric drag models and data usage involved with propagating near-Earth satellites. Many studies, and even some International standards try to promote one model over another, rather than identifying the behavior of the numerous parameters necessary to select the best model for a particular mission and application. We briefly summarize existing information, and quantify sources of uncertainty in satellite propagation resulting from several atmospheric models, or from the treatment of input data indices. The goal is for researchers to understand the relative impact of using different models and data indices so they can properly assess which model and data input to use.

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Citations
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Journal ArticleDOI

Phase center modeling for LEO GPS receiver antennas and its impact on precise orbit determination

TL;DR: This work uses GPS data of the aforementioned LEOs of the year 2007 together with the absolute antenna modeling to assess the presently achieved accuracy from state-of-the-art reduced-dynamic LEO POD strategies for absolute and relative navigation.
Journal ArticleDOI

Comparing Physical Drag Coefficients Computed Using Different Gas–Surface Interaction Models

TL;DR: In this paper, the effects of two separate gas-surface interaction models ( diffuse reflection with incomplete accommodation and quasi-specular Cercignani-Lampis-Lord models) were compared.
Journal ArticleDOI

Spacecraft drag modelling

TL;DR: In this article, the authors present a review of the most common approaches to calculate the drag coefficient of a spacecraft traveling in low Earth orbit (LEO) and present a detailed analysis of these approaches.
Journal ArticleDOI

Launch and deployment of distributed small satellite systems

TL;DR: Analysis of three example missions indicates that the method of nodal precession is sensitive to the effects of orbital decay due to drag and can result in long deployment times, and the use of Lunar L1 is more suitable for constellation configurations where several satellites are present in each orbital plane.
Journal ArticleDOI

Implicit gas-kinetic unified algorithm based on multi-block docking grid for multi-body reentry flows covering all flow regimes

TL;DR: The computing practice has confirmed that it is feasible for the present method to compute the aerodynamics and reveal flow mechanism around complex multi-body vehicles covering all flow regimes from the gas-kinetic point of view of solving the unified Boltzmann model velocity distribution function equation.
References
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Journal ArticleDOI

MSIS‐86 Thermospheric Model

TL;DR: The MSIS-86 empirical model of thermospheric temperature, density and composition as discussed by the authors uses new temperature and composition data from the Dynamics Explorer satellite to improve the representation of polar region morphology over that in theMSIS-83 model.
Journal ArticleDOI

A global thermospheric model based on mass spectrometer and incoherent scatter data MSIS, 1. N2 density and temperature

TL;DR: In this article, mass spectrometers on five satellites (AE-B, Ogo 6, San Marco 3, Aeros A, and AE-C) and neutral temperatures inferred from incoherent scatter measurements at four ground stations are combined to produce a model of thermospheric neutral temperatures and nitrogen densities similar to the Ogo6 empirical model (Hedin et al., 1974).

Thermospheric temperature, density, and composition: New models

TL;DR: In this paper, a set of formulae were proposed to compute the exospheric temperature and the expected deviations from the static models as a result of all the recognized types of thermospheric variation.

Thermospheric Temperature, Density, and Composition: New Models

L. G. Jacchia
TL;DR: In this paper, a set of formulae were proposed to compute the exospheric temperature and the expected deviations from the static models as a result of all the recognized types of thermospheric variation.
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