4 papers
Compensating Star-Trackers Misalignments with Adaptive Multi-Model Estimation
Ridma Ganganath, Simone Servadio, David Daeyoung Lee
This paper presents an adaptive multi-model framework for jointly estimating spacecraft attitude and star-tracker misalignments in GPS-denied deep-space CubeSat missions. A Multipl…
Star Tracker Misalignment Compensation in Deep Space Navigation Through Model-Based Estimation
Ridma Ganganath, Simone Servadio, David Lee
This work presents a novel adaptive framework for simultaneously estimating spacecraft attitude and sensor misalignment. Uncorrected star tracker misalignment can introduce signifi…
A Data-Driven Approach to Estimate LEO Orbit Capacity Models
Braden Stock, Maddox McVarthy, Simone Servadio
Utilizing the Sparse Identification of Nonlinear Dynamics algorithm (SINDy) and Long Short-Term Memory Recurrent Neural Networks (LSTM), the population of resident space objects, d…
The Sustainability of the Leo Orbit Capacity via Risk-Driven Active Debris Removal
Yacob Medhin, Simone Servadio
The growing number of space debris in Low Earth Orbit (LEO) jeopardizes long-term orbital sustainability, requiring efficient risk assessment for active debris removal (ADR) missio…