[PDF][PDF] A labeled multi-Bernoulli filter for space object tracking

BA Jones, BN Vo - Proceedings of the 2014 AAS/AIAA …, 2014 - ba-ngu.vo-au.com
To maintain custody of the increasing number of detectable objects in Earth orbit, tracking
systems require robust methods of multi-target state estimation and prediction. One …

[PDF][PDF] Statistical track-before-detect methods applied to faint optical observations of resident space objects

K Fujimoto, M Uetsuhara… - Advanced Maui Optical and …, 2015 - amostech.com
In this paper, we apply a statistically rigorous track-before-detect (TBD) method, the
Bernoulli particle filter, to actual imagery of resident space objects (RSOs). Robust methods …

Estimation of geosynchronous space objects using finite set statistics filtering methods

S Gehly - 2016 - search.proquest.com
The use of near Earth space has increased dramatically in the past few decades, and
operational satellites are an integral part of modern society. The increased presence in …

[PDF][PDF] Covariance and Uncertainty Realism in Space Surveillance and Tracking

AB Poore, JM Aristoff, JT Horwood - academia.edu
The characterization of uncertainty in the estimate of the state of a resident space object is
fundamental to many space surveillance tasks including data association, uncorrelated track …

Characterization of Specialized Geosynchronous Elements for Space Situational Awareness Applications

JA Gaebler, P Axelrad - AIAA/AAS Astrodynamics Specialist Conference, 2016 - arc.aiaa.org
HE geosynchronous orbital regime (GEO) is an extensively utilized and high value asset to
the world. The satellites in GEO are expensive, with ownership spanning numerous …

[引用][C] Exploring space situational awareness using neuromorphic event-based cameras

NO Ralph - 2023