Results 221 to 230 of about 12,114 (263)
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Space Debris Detection and Resident Space Object (RSO) Classification using Polarimetric Discriminants

2021 IEEE International Conference on Imaging Systems and Techniques (IST), 2021
Suman Shrestha, Nicolas Douard
exaly   +2 more sources

Physics and human-based information fusion for improved resident space object tracking

open access: yesAdvances in Space Research, 2018
Maintaining a catalog of Resident Space Objects (RSOs) can be cast in a typical Bayesian multi-object estimation problem, where the various sources of uncertainty in the problem – the orbital mechanics, the kinematic states of the identified objects, the
Jeremie Houssineau, Moriba Jah
exaly   +2 more sources

Adaptive Estimation Techniques for Resident Space Object Characterization

open access: yes, 2016
This thesis investigates using adaptive estimation techniques to determine unknown model parameters such as size and surface material reflectivity, while estimating position, velocity, attitude, and attitude rates of a resident space object.
LaPointe, Jamie
core   +3 more sources

Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO

open access: yesAdvances in Space Research, 2023
The increasing number of Resident Space Objects poses a serious threat to the safe operation of satellites. Alongside with mitigation policies, it is fundamental to predict the trajectories of such objects which requires the accurate estimation of the ...
Nicola Cimmino   +2 more
exaly   +2 more sources

Probabilistic resident space object detection using archival THEMIS fluxgate magnetometer data

open access: yesAdvances in Space Research, 2018
AE 8900 MS Special Problems ReportAlthough the detection of Earth-orbiting space objects is generally achieved using optical and radar measurements, these methods are limited in the ca pability of detecting small space objects at geosynchronous ...
Marcus J Holzinger
exaly   +1 more source

RESIDENT SPACE OBJECTS DETECTION AND TRACKING BASED ON ARTIFICIAL INTELLIGENCE

open access: yes, 2022
Resident Space Objects (RSOs) detection and tracking are challenging problems in the framework of Space Situational Awareness (SSA). The growing number of in orbit platforms and the incoming era of mega constellations is increasing both active and passive traffic in the near Earth segment.
Marco Mastrofini   +4 more
openaire   +2 more sources

On-orbit recognition of resident space objects by using star trackers

Acta Astronautica, 2020
Abstract The paper focuses on the opportunity to use star sensors to help space situational awareness and space surveillance. Catalogs of orbiting satellites around Earth are usually established on ground-based measurements that rely on optical or radar data provided by instruments on Earth.
D. Spiller   +6 more
openaire   +2 more sources

Multi-Bistatic Radar for Resident Space Objects Feature Estimation

2018 19th International Radar Symposium (IRS), 2018
The amount of space debris orbiting the Earth has seen a dramatic grow through the recent years. Its rising population increases the potential danger to space missions. At present time, it is urgent to gain as much information as possible in order to characterize this environment.
Ghio, S., Martorella, M.
openaire   +1 more source

A comparison of Radon domain approaches for resident space object’s parameter estimation

2020 21st International Radar Symposium (IRS), 2020
The amount of space debris orbiting around the Earth has seen a dramatic growth through the recent years. This growth is fed by an avalanche multiplication process. In fact, according to the “Kessler syndrome”, any collision generates more debris that then collide with other objects and produce further debris.
Ghio S., Martorella M.
openaire   +1 more source

Wideband DVB-S/DVB-S2 Passive Bistatic Radar for Resident Space Object detection

open access: yes, 2022
This paper deals with the design of a DVB-S/DVB-S2 passive bistatic radar for the detection of Resident Space Objects (RSOs) in the Low Earth Orbit (LEO) focussing on the advantages of broadband operation.
Amerigo Capria, Marco Martorella
exaly   +2 more sources

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