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Aaron J Swank

Publications and source records attributed to Aaron J Swank.

RF Metrology of Lunar Highlands Regolith Simulant NU-LHT-2M

Understanding the electrical properties of lunar regolith is vital to modeling radiofrequency(RF) propagation on the lunar surface a fundamental step in planning lunar surface missions. Near the lunar south pole, the regolith has yet to be directly sampled and thus there remains uncertainty in the electrical properties of the regolith. The regolith simulant NU-LHT-2M is a highlands simulant that is representative of the expected chemical composition of the regolith near the lunar south pole. Previous studies have investigated properties of NU-LHT at UHF and S-band[1]. Future missions to the lunar south pole are expected to utilize X and Ka-band for direct-to-Earth links and UHF, S-band, C-band, and Ka-band for lunar surface communication[2]. As a result, it is necessary to electrically characterize the lunar regolith at these frequencies. In this paper, coaxial impedance dielectric reflectometry is performed on the NU-LHT-2M simulant using a commercially available soil permittivity measurement device. This study serves as a preliminary measurement of the simulant and may lead to enhanced efficacy of the measurement hardware for future applications.

simulant

Lunar LTE Studies DRATS 2022 Report

In October 2022, the Lunar LTE Studies (LunarLiTES) team from the National Aeronautics and Space Administration (NASA) Glenn Research Center (GRC) conducted a series of communications field test measurements through the NASA Desert Research and Technology Studies (DRATS) campaign held near Flagstaff, Arizona. The objective of the NASA DRATS outings are to provide analog mission testing of candidate technologies for space exploration, especially those technologies applicable to human exploration of extraterrestrial rocky bodies. These activities are performed at locations with similarities to extraterrestrial conditions, such as the dry, volcanic landscape north of Flagstaff. This report describes the surface-to-surface communications testing performed by LunarLiTES as part of the 2022 NASA DRATS experiments. The objectives of this testing were to collect data for the development and refinement of radio frequency (RF) propagation models and emulation techniques, as well as to evaluate the application of terrestrial cellular communication technologies to lunar surface exploration.

lunar communication

SWIR Star Tracking

This work investigates the use of a star tracker that senses star light in the short wave infra-red wavelengths, specifically at the photometric H-band. The number of stars available for tracking and the corresponding photometric H-band magnitude is presented using information derived from the Two Micron All Sky Survey (2MASS) catalog. The probability of observing at least four stars in the star tracker’s field of view (FOV) at a given H-band magnitude or brighter is also presented. Finally, a notional short wave infra-red (SWIR) star tracker design is presented using the parameters calculated for the expected number of stars observed at the corresponding magnitudes in the photometric H-band. The results for the SWIR star tracker indicate the potential for a reduced FOV as compared to the visible wavelengths and relaxed star magnitude sensing requirements.

star tracking

Air Mobility Data & Reasoning Fabric

Throughout the world, especially in dense urban environments, the quality of life is being negatively impacted by ever growing commute time. Travel, beyond commuting, is increasingly driven by door-to-door challenges ? not just gate-to-gate considerations. Air Mobility may be an approach to address these challenges, as it can effectively convert our 2D mobility system to a 3D mobility system, vastly increasing mobility options.

Air mobility

Data & Reasoning Fabric

A Data & Reasoning Fabric shall provide a set of secured software infrastructure, tools, protocols, governance and policies to implement, administer, manage and operate data sharing and reasoning services across the entire span of air mobility and other ”smart” edge nodes.

Aeronautics

Data & Reasoning Fabric: Minimum Viable Product

A Data & Reasoning Fabric (DRF) is envisioned to enable the full potential of advanced air mobility by providing all data and reasoning where they are needed. The DRF provides a marketplace based on an open foundational ecosystem of data and reasoning exchange between the many systems that must seamlessly interplay to manage the complex and dense airspace operations required to achieve advanced air mobility goals. DRF activities will identify, test and - as needed - research and develop critical core technologies. In order to deliver reference designs and development environments that catalyze broad private and public sector buy-in and self-sustaining development of DRF and associated standards, DRF activities will collaboratively test these technologies, open standards and architectures, and an integrated framework with end users.

UAM

RF Metrology of Lunar Highlands Regolith Simulant NU-LHT-2M

*Presentation for the publication* Understanding the electrical properties of lunar regolith is vital to modeling radiofrequency (RF) propagation on the lunar surface, a fundamental step in planning lunar surface missions. Near the lunar south pole, the regolith has yet to be directly sampled and thus there remains uncertainty in the electrical properties of the regolith. The regolith simulant NU-LHT-2M is a highlands simulant that is representative of the expected chemical composition of the regolith near the lunar south pole. Previous studies have investigated properties of NU-LHT at UHF and S-band[1]. Future missions to the lunar south pole are expected to utilize X and Ka-band for direct-to-Earth links and UHF, S-band, C-band, and Ka-band for lunar surface communication [2]. As a result, it is necessary to electrically characterize the lunar regolith at these frequencies. In this paper, coaxial impedance dielectric reflectometry is performed on the NU-LHT-2M simulant using a commercially available soil permittivity measurement device. This study serves as a preliminary measurement of the simulant and may lead to enhanced efficacy of the measurement hardware for future applications.

simulant