Radar Technology

In this book “Radar Technology”, the chapters are divided into four main topic areas: Topic area 1: “Radar Systems” consists of chapters which treat whole radar systems, environment and target functional chain. Topic area 2: “Radar Applications” shows various applications of radar systems, including meteorological radars, ground penetrating radars and glaciology. Topic area 3: “Radar Functional Chain and Signal Processing” describes several aspects of the radar signal processing. From parameter extraction, target detection over tracking and classification technologies. Topic area 4: “Radar Subsystems and Components” consists of design technology of radar subsystem components like antenna design or waveform design

Air Force Institute of Technology Research Report 2004

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, and Engineering Physics

Optimization & Qualification of a Liquid Engine Launch Vehicle Design Using 6DoF Simulations

In this work, I developed a six degree of freedom flight simulator specific to liquid engine launch vehicles. This flight simulator improves upon available software by accounting for liquid engine specific phenomena such as tank pressurization, liquid engine performance, and center of gravity modeling. Additionally, I implemented methods for optimization and design qualification. I implemented models for atmosphere and wind, pressure-fed liquid engine performance, propellant tank pressures, aerodynamics, and center of gravity position with multiple changing masses. I conducted a design study on a liquid engine launch vehicle targeting the Kármán line (100km) using these tools. I used Bayesian optimization to reduce required propellant mass by 7.0 %. I used Monte Carlo methods to qualify the design to be 95% reliable with less than 10% consumer risk

1995 BRAC Commission

Naval Research Lab, Washington Site: Data Call. Tabular data, memos, documents. Box 178, L-110