Challenges of multi-target tracking for space situational awareness
The tracking of space objects poses unique challenges when compared to traditional applications. Direct application of standard multi-target tracking models fails to yield accurate results for the case of space objects. For example, dynamic models for traditional applications require simple, often l...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/22881 |
| _version_ | 1848750996677722112 |
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| author | Jones, B. Bryant, D. Vo, Ba-Ngu Vo, Ba Tuong |
| author_facet | Jones, B. Bryant, D. Vo, Ba-Ngu Vo, Ba Tuong |
| author_sort | Jones, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The tracking of space objects poses unique challenges when compared to traditional applications. Direct application of standard multi-target tracking models fails to yield accurate results for the case of space objects. For example, dynamic models for traditional applications require simple, often linear, discrete-time models. This is not the case for space objects where motion is nonlinear and computation cost is too prohibitive for current Monte Carlo filters. This paper describes the multitarget tracking problem for space objects and summarizes system requirements for space situational awareness. Traditional multitarget filter models are compared to corresponding methods for space object tracking in the context of tracking performance via the d-Generalized Labeled Multi-Bernoulli (d-GLMB) filter. Using these tests, key research challenges for space situational awareness are discussed. |
| first_indexed | 2025-11-14T07:45:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-22881 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:45:42Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-228812017-01-30T12:34:12Z Challenges of multi-target tracking for space situational awareness Jones, B. Bryant, D. Vo, Ba-Ngu Vo, Ba Tuong The tracking of space objects poses unique challenges when compared to traditional applications. Direct application of standard multi-target tracking models fails to yield accurate results for the case of space objects. For example, dynamic models for traditional applications require simple, often linear, discrete-time models. This is not the case for space objects where motion is nonlinear and computation cost is too prohibitive for current Monte Carlo filters. This paper describes the multitarget tracking problem for space objects and summarizes system requirements for space situational awareness. Traditional multitarget filter models are compared to corresponding methods for space object tracking in the context of tracking performance via the d-Generalized Labeled Multi-Bernoulli (d-GLMB) filter. Using these tests, key research challenges for space situational awareness are discussed. 2015 Conference Paper http://hdl.handle.net/20.500.11937/22881 restricted |
| spellingShingle | Jones, B. Bryant, D. Vo, Ba-Ngu Vo, Ba Tuong Challenges of multi-target tracking for space situational awareness |
| title | Challenges of multi-target tracking for space situational awareness |
| title_full | Challenges of multi-target tracking for space situational awareness |
| title_fullStr | Challenges of multi-target tracking for space situational awareness |
| title_full_unstemmed | Challenges of multi-target tracking for space situational awareness |
| title_short | Challenges of multi-target tracking for space situational awareness |
| title_sort | challenges of multi-target tracking for space situational awareness |
| url | http://hdl.handle.net/20.500.11937/22881 |