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Loft Orbital\u27s Approach to Rapid System Verification and Test
Get PDFLoft Orbital\u27s vision is to provide the fastest, simplest, and most reliable access to space for small satellite-class missions. Loft achieves this vision with a turnkey solution that implements the hardware and software solutions required to get a mission to orbit in months, not years. A key contributor to the success of Loft\u27s vision is integrated systems testing in the hardware in the loop (HIL) environment.
Traditionally, HIL systems are designed and operated with one mission in mind. This means that for each new mission in which the architecture changes, a new HIL system needs to be created or an existing system needs to be altered. When resource contention inevitably occurs between users and begins to slow progress, the simplest resolution is to duplicate test setups to increase the quantity of test resources. This approach, however, is not ideal for speed or cost. Loft solves this problem by employing unique methods and technologies to reach an optimal solution.
Loft\u27s HIL testing methodology differs significantly from the majority of the industry in two primary disciplines: automation and resource sharing.
This paper discusses the implementation of these technologies, other modern day DevOps practices, as well as their impact on software development efficiencies, ease of use, and system reliability. Employing these technologies allows Loft to react at an unprecedented speed to new missions and customers which ultimately provides a faster, more reliable, and simpler path to space
An Open-Source Python-Based Coding Strategy for Efficiently Developing Test Software for CubeSats
Get PDFpysimCoder could be a time-efficient, user-friendly, open-source way of writing ground test software for CubeSats
Efficient Data Pipelines for Combined FPGA/APU Systems
Get PDFA common architecture for COTS payload computers in space applications combines a COTS APU (CPU+GPU combo) with an FPGA. The FPGA provides monitoring, Triple Modular Redundancy (TMR), and other space-suitable properties, while the APU serves as the high-performance compute component. The FPGA can also be utilized for custom interfaces and tasks it excels at, such as certain real-time operations
Design and Development of a Neural Surface Rendering Model for Lunar Satellite Photogrammetry
Get PDFNeural volumetric scene representations encode the color and density of points in 3D space by optimizing an underlying continuous volumetric scene function. These methods are focused on synthesizing novel views of objects and on-ground scenes from a set of sparse input views. However, they under-perform at photogrammetric tasks of geometric reconstruction from multi-view satellite imagery in environments with diffuse reflection and harsh shading. This limits the ability of these methods to accurately generate Digital Elevation Models (DEMs) of the permanently shadowed regions (PSRs) using multi-view satellite imagery. By incorporating techniques such as a learned distance function of the surface geometry and an explicit illumination model, we aim to present a new neural rendering scheme for surface reconstruction tailored specifically to the lunar environment
Mission Overview From Orion Space Solutions’ Satellite Payload for Remote Sensing of Ocean Surface Winds
No full textOcean Surface Vector Winds (OSVW) is a proof-of-concept mission to measure ocean surface winds and sea state from a sensor that is low in size, weight, power, and cost
Pandora Payload Near Infrared Detector Thermal Testing
Get PDFThe Pandora mission introduces the Near-Infrared Detector Assembly (NIRDA) as an advancement in small satellite space-based infrared spectroscopy. This presentation emphasizes thermal stability, compact form factor, and ruggedized design. Developed by Lawrence Livermore National Laboratory (LLNL), with support from NASA Ames Research Center (ARC) and NASA Goddard Space Flight Center (GSFC), the NIRDA is designed as one of two detector assemblies on the Pandora mission. Pandora is a Pioneers class astrophysics mission that seeks to characterize exoplanets and the activity of their host stars. The following presents the testing results of the NIRDA engineering unit (EU) and a comparison with our finite element models. Key performance metrics are absolute temperature of the detector, sustained gradients at boundary conditions, and temperature stability
Mental Health in Price: A Report on Community Perspectives
Get PDFThis report is from a research project conducted at the end 2022 that focuses on mental health in Price. Dr. Kristen Koci conducted interviews in Price to understand community members’ perspectives on and factors affecting mental health in the area. Community leaders from government and local organizations were interviewed along with general community residents, for a total of 27 interviews. The report that follows summarizes themes and perspectives gathered during these interviews