A major topic in the field of space situational awareness is to accurately map the uncertainty of an observed object, accounting for nonlinear relative dynamics using either analytic or numerical approaches. For analytic approaches, an open question exists regarding the importance of short-period terms in the analytic theory relative to the secular dynamics terms. This paper will explore this question using the classical Brouwer theory (CBT). Specifically, we discuss how well uncertainty propagation under the secular Brouwer theory (without short-period terms) compares to the CBT, and how the CBT compares to a fully numerical propagation.
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The School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Pal, Shantanu
Khalifa, Sara
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The School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane,QLD,4000, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Khalifa, Sara
Miller, Dimity
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The School of Electrical Engineering and Robotics, Faculty of Engineering, Queensland University of Technology, Brisbane,QLD,4000, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Miller, Dimity
Dedeoglu, Volkan
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The Distributed Sensing Systems Group, Data61, CSIRO, Pullenvale,QLD 4069, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Dedeoglu, Volkan
Dorri, Ali
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The School of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane,QLD 4000, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Dorri, Ali
Ramachandran, Gowri
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The School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane,QLD,4000, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Ramachandran, Gowri
Moghadam, Peyman
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The CSIRO Robotics, Data61, CSIRO, Pullenvale,QLD 4069, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Moghadam, Peyman
Kusy, Brano
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The Distributed Sensing Systems Group, Data61, CSIRO, Pullenvale,QLD 4069, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
Kusy, Brano
Jurdak, Raja
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The School of Computer Science, Faculty of Science, Queensland University of Technology, Brisbane,QLD 4000, AustraliaThe School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne,VIC 3125, Australia
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Ind Res Ltd, Measurement Stand Lab New Zealand, Lower Hutt 5040, New ZealandInd Res Ltd, Measurement Stand Lab New Zealand, Lower Hutt 5040, New Zealand