A5046145517- Space Satellite Systems and Control
- Risk and Safety Analysis
- Space exploration and regulation
- Space Exploration and Technology
- Astro and Planetary Science
- Planetary Science and Exploration
- Spacecraft Design and Technology
- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- GNSS positioning and interference
- Fault Detection and Control Systems
- Ionosphere and magnetosphere dynamics
- Occupational Health and Safety Research
- High-Velocity Impact and Material Behavior
- Satellite Image Processing and Photogrammetry
- Calibration and Measurement Techniques
- Technology Assessment and Management
- Target Tracking and Data Fusion in Sensor Networks
- Meteorological Phenomena and Simulations
- Manufacturing Process and Optimization
- Probabilistic and Robust Engineering Design
- Air Traffic Management and Optimization
- Chemical Safety and Risk Management
- Geophysics and Gravity Measurements
- Gaussian Processes and Bayesian Inference
The Aerospace Corporation
2018-2024
Netherlands Institute for Radio Astronomy
2019
Goddard Space Flight Center
2018
a.i. solutions (United States)
2011-2015
LZ Technology (United States)
2012
SRA International (United States)
2008
Satellite conjunctions involving near misses of space objects are increasingly common, especially with the growth satellite constellations and debris. Accurate risk analysis for these events is essential to prevent collisions manage traffic. Traditional methods assessing collision risk, such as calculating so-called probability, widely used but have limitations, including counterintuitive interpretations when uncertainty in state vector large. To address we build on an alternative approach...
Abstract While past studies have investigated the effect of neutral atmospheric density mismodeling on satellite conjunction assessment (CA), none has focused their investigation specifically serious (high‐risk) events, which are event types that drive both risk and workload for CA operations. The present study seeks to do this by reprocessing chosen groups archived actual artificially introducing error these then examining introduced errors probability collision (Pc) calculation, is...
In the space surveillance tracking domain, it is often necessary to assess not only covariance consistency or realism of an object's state estimate, but also (proper characterization) its full estimated probability density function. other words, there a need for "uncertainty realism." We propose new metric (applicable any domain) that generalizes based on Mahalanobis distance one tests uncertainty realism. then review various goodness-of-fit and distribution matching exploit describe how...
The purpose of covariance realism is to properly size a primary object's in order add validity the calculation probability collision. technique this paper consists three parts: collection/calculation definitive state estimates through orbit determination, test statistics at each propagation point, and proper assessment those statistics. An empirical cumulative distribution function (ECDF) Goodness-of-Fit (GOF) method employed determine if sized by comparing Mahalanobis distance calculations...
1The most complex and forbidding aspect of Space Surveillance Network performance simulations is the calculation state vector accuracy, as it requires direct simulation noising both sensor observations orbit determination process. A procedure here described for constructing expected accuracy curves a function tracking type density, thus obviating need explicit determination. Building on results earlier studies, twenty-five million operational precision vectors were grouped by mix, values...
The manipulation of space object covariances to try provide additional or improved information conjunction risk assessment is not an uncommon practice. Types include fabricating a covariance when it missing unreliable force the probability collision (Pc) maximum value ('PcMax'), scaling improve its realism see effect volatility on calculated Pc, and constructing equivalent epoch at convenient future point in event ('covariance forecasting'). In bringing these methods bear for Conjunction...