Award Data

Legacy satellite command and control capabilities and their related telemetry operate in a largely stove piped framework. Satellites are still commanded, controlled, and communicated with their ground station in a specific constellation structure. Each ground station is unique to a given constellation and the communications and telemetry are aligned to the specific constellation, underscoring an o ...

AEDC personnel have developed and demonstrated the effectiveness of coupling a control volume model with a wind tunnel control system. The performance of the model was hampered because parameters of the model were assumed to be constant, when they are likely variables. A method for using facility data to determine functional relationships defining these parameters would allow them to vary during ...

Quantum computer technology is so critical and strategic that the Air Force Research Laboratory is itself working on a quantum bit focused on the trapped ytterbium (Yb+) ion. The current technology based on entangling electrons, photons, or ions are challenging to put together in multiple qubits. To make a qubit stable, it is essential to protect it from outside interferences that can disrupt the ...

In Phase I, ISSI will design and demonstrate a laser absorption-based sensor for time-resolved measurements of combustion fuel/product concentrations (H2O, CO, CO2 and fuel) and gas temperature within the detonation channels and nozzle exit-plane of a rotating detonation rocket engine (RDRE). The goal of this STTR is to develop a single sided sensor that plugs into the outer wall of the RDRE simil ...

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

The proliferation and capabilities of hobbyist off-the-shelf drone systems poses a direct and immediate threat to U.S. national security. This proposal is a cUAS system to track unwanted UAS in the vicinity using stealthy radars that are AJ. The project will start with an understanding of customer needs and how we can adapt our proposal to best meet the needs of the Air Force.

The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...

Space surveillance is the component of space situational awareness focused on the detection of resident space objects (RSOs) and the use of multisource data to track and identify space objects. While the propagation of the states of RSOs has been investigated extensively over the last fifty years, the correct propagation of their covariance or the more general (non-Gaussian) probability distribut ...