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See detailVARIABILITY-DRIVEN DESIGN CONFIGURATOR OF SPACE SYSTEMS TO SUPPORT DECISION-MAKERS
Rana, Loveneesh UL; Lazreg, Sami UL; Bohlachov, Vladyslav et al

Scientific Conference (2022, October)

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See detailIntegrated Spacecraft Design: Demonstration of a prototype process and platform for satellite design application
Rana, Loveneesh UL; Bohlachov, Vladyslav; Hein, Andreas UL

in Proceedings of International Astronautical Congress (2022, September)

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See detailStrategic Forecasting Toward Achieving Defensible Space Architecture by Year 2030
Patel, Harinkumar; Rana, Loveneesh UL; Maynard, Ian et al

in Journal of Spacecraft and Rockets (2022), 59(5),

Along with the increased demand for space access transportation, a rise in adversarial offensive capabilities, and increasing reliance upon space-based assets, U.S. space assets are now more vulnerable to ... [more ▼]

Along with the increased demand for space access transportation, a rise in adversarial offensive capabilities, and increasing reliance upon space-based assets, U.S. space assets are now more vulnerable to ground- and space-based threats than ever. The U.S. Air Force in its Fiscal Year Posture Statement 2018 recognized that meeting the space threat remains a U.S. Air Force priority for national security. This, along with the creation of a new Space Force, provides more interest in space defense and detailed space architecture development. This needs to be approached pragmatically and strategically. For this, there is a need for a cohesive plan that will support the continued integration and normalization of space in the joint war-fighting environment and places a high priority on space to ensure that U.S. space systems continue to operate in a contested environment. The goal of this study is to identify the national security transportation capabilities and supporting assets needed to establish a superior force in space by the year of 2030 and beyond. Additionally, the science and technology areas that are needed to develop these capabilities are identified, and a strategic space transportation roadmap is generated. [less ▲]

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See detailVariability-Aware Design of Space Systems: Variability Modelling, Configuration Workflow and Research Directions
Lazreg, Sami UL; Bohlachov, Vladyslav; Rana, Loveneesh UL et al

in Proceedings of VAMOS 22 (2022, February)

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See detail5G Space Communications Lab: Reaching New Heights
Kodheli, Oltjon UL; Querol, Jorge UL; Astro, Abdelrahman et al

in Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) (2022)

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See detailSolar-Aerodynamic Formation Flight for 5G Experiments
Thoemel, Jan UL; Querol, Jorge UL; Bokal, Zhanna UL et al

in Proceedings of the 12th European CubeSatSymposium (2021, November 15)

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See detailVision of a Next-Gen Concurrent Design Facility (CDF-LU)
Rana, Loveneesh UL

in International Astronautical Congress, Dubai, 25-29 October 2021 (2021, October)

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See detailStudy into In-orbit Servicing of the Rosetta Mission
Rana, Loveneesh UL; Menzio, Davide UL; Ellwood, John

in International Astronautical Congress, Dubai, 25-29 October 2021 (2021, October)

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See detail5G-SpaceLab
Querol, Jorge UL; Abdalla, Abdelrahman UL; Bokal, Zhanna UL et al

Poster (2021, April 19)

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are ... [more ▼]

The new phase of space exploration involves a growing number of human and robotic missions with varying communication and service requirements. Continuous, maximum coverage of areas where activities are concentrated and orbiting missions (single spacecraft or constellations) around the Earth, Moon or Mars will be particularly challenging. The standardization of the 5G Non-Terrestrial Networks (NTN) has already begun [1], and nothing prevents 5G from becoming a common communications standard supporting space resource missions [2]. The 5G Space Communications Lab (5G-SpaceLab) is an interdisciplinary experimental platform, funded by the Luxembourg Space Agency and is part of the Space Research Program of SnT. The lab allows users to design and emulate realistic space communications and control scenarios for the next-generation of space applications. The capabilities of the 5G-SpaceLab testbed combine the experience of different disciplines including space communications, space and satellite mission design, and space robotics. The most relevant include the demonstration of SDR 5G NTN terminals including NB-IoT, emulation of space communications channel scenarios (e.g. link budget, delay, Doppler…), small satellite platform and payload design and testing, satellite swarm flight formation, lunar rover and robotic arm control and AI-powered telerobotics. Earth-Moon communications is one of the scenarios demonstrated in the 5G-SpaceLab. Bidirectional communication for the teleoperation of lunar rovers for near real-time operations including data collection and sensors feedback will be tested. AI-based approaches for perception and control will be developed to overcome communication delays and to provide safer, trustworthy, and efficient remote control of the rovers. [1] 3GPP Release 17 Timeline. [Online]. Available: https://www.3gpp.org/release-17 [2] Nokia, Nokia selected by NASA to build first ever cellular network on the Moon. [Online]. Available: https://www.nokia.com/about-us/news/releases/2020/10/19/nokia-selected-by-nasa-to-build-first-ever-cellular-network-on-the-moon/ [less ▲]

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See detailExtreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model
Moseley, Ben; Bickel, Valentin; López-Francos, Ignacio G. et al

in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Recently, learning-based approaches have achieved impressive results in the field of low-light image denoising. Some state of the art approaches employ a rich physical model to generate realistic training ... [more ▼]

Recently, learning-based approaches have achieved impressive results in the field of low-light image denoising. Some state of the art approaches employ a rich physical model to generate realistic training data. However, the performance of these approaches ultimately depends on the realism of the physical model, and many works only concentrate on everyday photography. In this work we present a denoising approach for extremely low-light images of permanently shadowed regions (PSRs) on the lunar surface, taken by the Narrow Angle Camera on board the Lunar Reconnaissance Orbiter satellite. Our approach extends existing learning-based approaches by combining a physical noise model of the camera with real noise samples and training image scene selection based on 3D ray tracing to generate realistic training data. We also condition our denoising model on the camera’s environmental metadata at the time of image capture (such as the camera’s temperature and age), showing that this improves performance. Our quantitative and qualitative results show that our method strongly outperforms the existing calibration routine for the camera and other baselines. Our results could significantly impact lunar science and exploration, for example by aiding the identification of surface water-ice and reducing uncertainty in rover and human traverse planning into PSRs. [less ▲]

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See detailLow-Light Image Enhancement of Permanently Shadowed Lunar Regions with Physics-Based Machine Learning
moseley, ben; Bickel, Valentin; Rana, Loveneesh UL et al

Poster (2021)

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we ... [more ▼]

We show that it is possible to significantly enhance the quality of extremely low-light images of permanently-shaded regions (PSRs) on the moon by using two physics-based deep neural networks, which we called HORUS, to remove CCD sensor-related noise and photon noise. To inform our distribution of training data, we perform ray tracing over a digital elevation model of the moon and derive the distributions of secondary illumination angles in PSRs. Our network provides high-resolution, low-noise images that will help enable future ground missions to plan and execute safe and effective traverses into, around, and out of lunar PSRs — a critical step in our endeavor to explore the moon and beyond. [less ▲]

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See detailLow-light image enhancement of permanently shadowed lunar regions with physics-based machine learning
Moseley, Ben; Bickel, Valentin; Lopez-Francos, Ignacio et al

in Low-light image enhancement of permanently shadowed lunar regions with physics-based machine learning (2020, December)

Finding water(-ice) on the Moon is key to enabling a sustainable human presence on the Moon and beyond. There is evidence that water-ice is abundant in and around the Moon’s Permanently Shadowed Regions ... [more ▼]

Finding water(-ice) on the Moon is key to enabling a sustainable human presence on the Moon and beyond. There is evidence that water-ice is abundant in and around the Moon’s Permanently Shadowed Regions (PSRs), however, direct visual detection has not yet been possible. Surface ice or related physical features could potentially be directly detected from high-resolution optical imagery, but, due to the extremely low-light conditions in these areas, high levels of sensor and photon noise make this very challenging. In this work we generate high-resolution, low-noise optical images over lunar PSRs by using two physics-based deep neural networks to model and remove CCD-related and photon noise in existing low-light optical imagery, potentially paving the way for a direct water-ice detection method. [less ▲]

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See detailDemonstration of a prototype design synthesis capability for space access vehicle design
Rana, Loveneesh UL; Chudoba, Bernd

in Aeronautical Journal (2020), 124(1281), 1761-1788

The early conceptual design (CD) phase of space access vehicles (SAVs) is the most abstract, innovative and technologically challenging phase of the entire aerospace design life cycle. Although the design ... [more ▼]

The early conceptual design (CD) phase of space access vehicles (SAVs) is the most abstract, innovative and technologically challenging phase of the entire aerospace design life cycle. Although the design decision-making during this phase influences around 80 percent of the overall life cycle cost, it is the most abstract and thus least understood phase of the entire design life cycle. The history of SAV design provides numerous examples of project failures that could have been avoided if the decision-maker had had the capability to forecast the potential risks and threats correctly ahead of time during the conceptual design phase. The present study addresses this crucial phase and demonstrates a best-practice synthesis methodology prototype to advance the current state of the art of CD as applied to SAV design. Developed by the Aerospace Vehicle Design (AVD) Laboratory at the University of Texas at Arlington (UTA), the Aerospace Vehicle Design Synthesis process and software (AVDS) is a prototype solution for a flight vehicle configuration–flexible (generic) design synthesis capability that can be applied to the primary categories of SAVs. This study focusses on introducing AVDS, followed by the demonstration and verification of the system’s capability through a sizing case study based on the data-rich Boeing X-20 Dyna-Soar spaceplane. [less ▲]

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See detailInnovative System Design Synthesis And Optimization of Re-Entry Vehicles Conceptual Design
Pate, Sweety; Rana, Loveneesh UL; Brinkman, Dennis

in Pate, Sweety; Rana, Loveneesh; Brinkman, Dennis (Eds.) Innovative System Design Synthesis And Optimization of Re-Entry Vehicles Conceptual Design (2018, October 05)

Designing a space transportation vehicle traditionally happens in a sequential manner, that is, one step at a time, passing the design from one disciplinary team to another. In this manner, the design ... [more ▼]

Designing a space transportation vehicle traditionally happens in a sequential manner, that is, one step at a time, passing the design from one disciplinary team to another. In this manner, the design goes through several iterations until the requirements from all disciplines are satisfied. The conceptual design phase is generally completed in a few weeks or months, where the main objective of the design concept is the definition of the mission-technology-configuration options that satisfy the customer’s requirements. This is achieved by evaluating multiple system design concepts and, eventually, defining the system baseline with subsystem technology, and programmatic and cost assessment. The level of detail increases enormously with the increase in the level of the design phase. Depending on the complexity of the system and the available resources, the detailed design phases may take months to years to fully design the system. From the literature study it is also observed that, although there are significant advancements in the propulsion system, landing mechanism, avionics, and interior of the spacecraft, the aerodynamic shape or vehicle configuration is still scaled or modified with respect to the heritage designs (benchmark designs: Apollo and Space Shuttle). Thus, if a poor configuration is chosen during the conceptual design phase, this will lead to a worse and expensive system at the end of the process. Hence, there is a need for an approach which allows us to explore the complete set of possible configurations rather than directly selecting the benchmark design as a starting point. This paper discusses an innovative approach for the conceptual design of re-entry vehicles. Before considering a fixed benchmark configuration of a re-entry vehicle, a design synthesis approach allows the user to explore the complete set of feasible vehicle configurations for the given mission and system requirements. Furthermore, a parametric solution-space exploration is performed to refine the set of considered configurations. This allows the user to derive the best possible solution set to start the optimization process. In this paper, simultaneous optimization of the configuration and trajectory is performed. The performance of the vehicle is computed using first-order analysis methods for mass budget, aerothermodynamics, thermal protection system, and trajectory design. Thus, this approach allows the user to investigate the best possible configuration for the mission scenario as well as derive the optimized configuration and its respective optimized trajectory to re-enter safely. [less ▲]

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See detailA Paradigm-Shift in Aerospace Vehicle Design Synthesis and Technology Forecasting
Rana, Loveneesh UL

in Rana, Loveneesh (Ed.) A Paradigm-Shift in Aerospace Vehicle Design Synthesis and Technology Forecasting (2018, September 15)

Classically, aerospace design synthesis methodologies have been developed for a specified problem, with limited or no adaptability and expandability for application to a new problem not considered in the ... [more ▼]

Classically, aerospace design synthesis methodologies have been developed for a specified problem, with limited or no adaptability and expandability for application to a new problem not considered in the original development. This inability eventually limits the application of a conventional ASDS towards exploration of novel concepts. Thus, the institutions using their proprietary legacy ASDS systems become confined within the product and technology range which is imposed by their system’s limitations. Such a scenario presents a grave situation as it hinders innovation and exploration at the conceptual stage, the design phase where design freedom is maximum. In response to this need, a new modular system is being developed, tested, and applied at the Aerospace Vehicle Design (AVD) Laboratory at the University of Texas at Arlington. The system, called as the Aerospace Vehicle Design Database Management System (AVD-DBMS, or simply the DBMS), provides a unique capability of developing custom-tailored sizing codes specific to the problem at hand. In this regard, the DBMS is not a synthesis system by itself. Rather, it is a system that creates custom problem-specific synthesis architectures tailor made to address the needs of the user. Such a capability represents a paradigm-shift in the way conceptual design has been traditionally implemented. This paper presents an overview of the research effort of six researchers over a span of eight years. The primary focus of this paper is to provide the conceptual solution logic, the development process and system specification of the DBMS. Additionally, four distinct case-studies are presented that demonstrate DBMS’s superior capability to explore novel design concepts and provide the decision-maker with informed and smart decision-making support. [less ▲]

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See detailSPACE ACCESS SYSTEMS DESIGN: Synthesis Methodology Development for Conceptual Design of Future Space Access Systems
Rana, Loveneesh UL

Doctoral thesis (2017)

The early Conceptual Design (CD) of a Space Access System (SAS) is the most abstract, innovative, and technologically challenging phase throughout the entire aerospace product development life-cycle ... [more ▼]

The early Conceptual Design (CD) of a Space Access System (SAS) is the most abstract, innovative, and technologically challenging phase throughout the entire aerospace product development life-cycle. While it is the most important life-cycle phase which influences around 80 percent of the overall life-cycle-cost, it is also the least understood design phase. The history of space access vehicle design provides numerous examples of projects that failed due to lack of a proper technology-hardware-mission assessment in the CD phase. The present dissertation addresses this crucial phase and develops a prototype best practice solution process to advance the current state of the art of the CD oriented vehicle design synthesis systems. The solution is a generic process that can be applied to all categories of the SAS. The Vertical-Takeoff Horizontal-Landing type SAS is selected as the demonstration case-study for the solution process. The research provides a proof of concept for how the proposed prototype solution process expands the scope and application of current applications of the CD assessment vertically across the SAS system`s hierarchy and horizontally across the life-cycle phases of the SAS. [less ▲]

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See detailDesign Evolution and AHP-based Historiography of Lifting Reentry Vehicle Space Programs
Rana, Loveneesh UL; Chudoba, Bernd

in AIAA SPACE 2016 Proceedings (2016, September)

Detailed reference viewed: 108 (4 UL)