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Improving Reentry Prediction Capabil...

Watkins, Paul,

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Improving Reentry Prediction Capability of Naturally Decaying Space Objects /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Improving Reentry Prediction Capability of Naturally Decaying Space Objects // Paul Watkins.
Author:	Watkins, Paul,
Description:	1 electronic resource (60 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Mechanical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31242328
ISBN:	9798382332994

Improving Reentry Prediction Capability of Naturally Decaying Space Objects /
Watkins, Paul,

Improving Reentry Prediction Capability of Naturally Decaying Space Objects /Paul Watkins. - 1 electronic resource (60 pages)

Source: Masters Abstracts International, Volume: 85-11.

This paper investigates the utility of GPS transponders in providing an increased predictive capability to reentry times of naturally decaying space objects. It compares the predictions of traditional propagators, such as SGP4 and HPOP models, to that of simulated GPS data for reconstructed orbits of several decayed objects. By screening the public catalog of two line element sets (TLEs) for upcoming reentry dates over a long period of time, several objects are selected to undergo analyses to determine the accuracy of traditional methodologies in natural decay reentry predictions. Since the true trajectory of an object is impossible to obtain, a proxy for truth data is created using the time history of TLEs for each object to reconstruct a best-fit trajectory for the final days prior to reentry. From these trajectories, GPS points are simulated in a real-time flow of data at a regular cadence, which are used as another data source for reentry predictions of each satellite. All data sources are measured against the final Tracking and Impact Prediction (TIP) messages of the respective satellites, which are published by the United States Space Command and used as a proxy for truth data. It is of interest to determine the effectiveness of the time-consistent and low-uncertainty tracking measurements offered by GPS transponders.

English

ISBN: 9798382332994Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Astrodynamics

Improving Reentry Prediction Capability of Naturally Decaying Space Objects /
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500 $a Source: Masters Abstracts International, Volume: 85-11.
500 $a Advisors: Hart, Terry J. Committee members: Banerjee, Arindam.
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520 $a This paper investigates the utility of GPS transponders in providing an increased predictive capability to reentry times of naturally decaying space objects. It compares the predictions of traditional propagators, such as SGP4 and HPOP models, to that of simulated GPS data for reconstructed orbits of several decayed objects. By screening the public catalog of two line element sets (TLEs) for upcoming reentry dates over a long period of time, several objects are selected to undergo analyses to determine the accuracy of traditional methodologies in natural decay reentry predictions. Since the true trajectory of an object is impossible to obtain, a proxy for truth data is created using the time history of TLEs for each object to reconstruct a best-fit trajectory for the final days prior to reentry. From these trajectories, GPS points are simulated in a real-time flow of data at a regular cadence, which are used as another data source for reentry predictions of each satellite. All data sources are measured against the final Tracking and Impact Prediction (TIP) messages of the respective satellites, which are published by the United States Space Command and used as a proxy for truth data. It is of interest to determine the effectiveness of the time-consistent and low-uncertainty tracking measurements offered by GPS transponders.
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590 $a School code: 0105
650 4 $a Mechanical engineering. $3 649730
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Geographic information science. $3 3432445
653 $a Astrodynamics
653 $a Orbital mechanics
653 $a Decaying space objects
653 $a Tracking measurements
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690 $a 0538
690 $a 0370
710 2 $a Lehigh University. $b Mechanical Engineering. $e degree granting institution. $3 3770463
720 1 $a Hart, Terry J. $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-11.
790 $a 0105
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792 $a 2024
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