A non-combinatorial approach for efficient conjunction analysis

Michael Mercurio; Puneet Singla; Abani Patra

A non-combinatorial approach for efficient conjunction analysis

Michael Mercurio, Puneet Singla, Abani Patra

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Conjunction analysis is the study of possible collisions between objects in space, and is aimed at reducing the number of collisions between manmade objects and debris orbiting the Earth. It has been found that kd-tree based methods significantly reduce computational cost while obtaining comparable results. This research extends the applicability of the tree-based approach by accounting for non-Gaussian uncertainties, as well as correcting the probabilistic nearest- neighbor search. Employing these modifications, it is expected that the favorable computational efficiency of the tree-based approach is maintained, while extending the applicability of the proposed method.

Original language	English (US)
Title of host publication	Astrodynamics 2013 - Advances in the Astronautical Sciences
Subtitle of host publication	Proceedings of the AAS/AIAA Astrodynamics Specialist Conference
Publisher	Univelt Inc.
Pages	3051-3060
Number of pages	10
ISBN (Print)	9780877036050
State	Published - 2014
Event	2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013 - Hilton Head Island, SC, United States Duration: Aug 11 2013 → Aug 15 2013

Publication series

Name	Advances in the Astronautical Sciences
Volume	150
ISSN (Print)	0065-3438

Other

Other	2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013
Country/Territory	United States
City	Hilton Head Island, SC
Period	8/11/13 → 8/15/13

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Space and Planetary Science

Cite this

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title = "A non-combinatorial approach for efficient conjunction analysis",

abstract = "Conjunction analysis is the study of possible collisions between objects in space, and is aimed at reducing the number of collisions between manmade objects and debris orbiting the Earth. It has been found that kd-tree based methods significantly reduce computational cost while obtaining comparable results. This research extends the applicability of the tree-based approach by accounting for non-Gaussian uncertainties, as well as correcting the probabilistic nearest- neighbor search. Employing these modifications, it is expected that the favorable computational efficiency of the tree-based approach is maintained, while extending the applicability of the proposed method.",

author = "Michael Mercurio and Puneet Singla and Abani Patra",

year = "2014",

language = "English (US)",

isbn = "9780877036050",

series = "Advances in the Astronautical Sciences",

publisher = "Univelt Inc.",

pages = "3051--3060",

booktitle = "Astrodynamics 2013 - Advances in the Astronautical Sciences",

address = "United States",

}

Mercurio, M, Singla, P & Patra, A 2014, A non-combinatorial approach for efficient conjunction analysis. in Astrodynamics 2013 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Astrodynamics Specialist Conference. Advances in the Astronautical Sciences, vol. 150, Univelt Inc., pp. 3051-3060, 2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013, Hilton Head Island, SC, United States, 8/11/13.

A non-combinatorial approach for efficient conjunction analysis. / Mercurio, Michael; Singla, Puneet; Patra, Abani.
Astrodynamics 2013 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Astrodynamics Specialist Conference. Univelt Inc., 2014. p. 3051-3060 (Advances in the Astronautical Sciences; Vol. 150).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Singla, Puneet

AU - Patra, Abani

PY - 2014

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N2 - Conjunction analysis is the study of possible collisions between objects in space, and is aimed at reducing the number of collisions between manmade objects and debris orbiting the Earth. It has been found that kd-tree based methods significantly reduce computational cost while obtaining comparable results. This research extends the applicability of the tree-based approach by accounting for non-Gaussian uncertainties, as well as correcting the probabilistic nearest- neighbor search. Employing these modifications, it is expected that the favorable computational efficiency of the tree-based approach is maintained, while extending the applicability of the proposed method.

AB - Conjunction analysis is the study of possible collisions between objects in space, and is aimed at reducing the number of collisions between manmade objects and debris orbiting the Earth. It has been found that kd-tree based methods significantly reduce computational cost while obtaining comparable results. This research extends the applicability of the tree-based approach by accounting for non-Gaussian uncertainties, as well as correcting the probabilistic nearest- neighbor search. Employing these modifications, it is expected that the favorable computational efficiency of the tree-based approach is maintained, while extending the applicability of the proposed method.

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T3 - Advances in the Astronautical Sciences

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T2 - 2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013

Y2 - 11 August 2013 through 15 August 2013

ER -

A non-combinatorial approach for efficient conjunction analysis

Abstract

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All Science Journal Classification (ASJC) codes

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