Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal
The phenomenon of sample impoverishment during particle filtering always contribute computation burden to the inertial-based mobile IPS systems. This is due to the factor of noise measurement and number of particle. Usually, the special strategies resampling algorithms was used. However, these algor...
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| Format: | Article |
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Science and Engineering Research Support Society
2017
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| _version_ | 1796862490764640256 |
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| author | Bejuri, W. M. Y. W. Murtadha Mohamad, M. Radzi, R. Z. R. M. Salleh, M. Yusof, A. F. |
| author_facet | Bejuri, W. M. Y. W. Murtadha Mohamad, M. Radzi, R. Z. R. M. Salleh, M. Yusof, A. F. |
| author_sort | Bejuri, W. M. Y. W. |
| collection | ePrints |
| description | The phenomenon of sample impoverishment during particle filtering always contribute computation burden to the inertial-based mobile IPS systems. This is due to the factor of noise measurement and number of particle. Usually, the special strategies resampling algorithms was used. However, these algorithms just can fit in certain environment. This needs an adaptation of noise measurement and number of particle in a algorithm in order to make resampling with more intelligence, reliability and robust. In this paper, we will propose an adaptive special strategies resampling by adapting noise and particle measurement. These adaptation is used to determine the most suitable algorithm of special strategies resampling, that can be switched for resampling purpose. Finally, we illustrate our proposed solution our for indoor environment setup. |
| first_indexed | 2024-03-05T20:12:24Z |
| format | Article |
| id | utm.eprints-76354 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:12:24Z |
| publishDate | 2017 |
| publisher | Science and Engineering Research Support Society |
| record_format | dspace |
| spelling | utm.eprints-763542018-06-29T22:03:49Z http://eprints.utm.my/76354/ Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal Bejuri, W. M. Y. W. Murtadha Mohamad, M. Radzi, R. Z. R. M. Salleh, M. Yusof, A. F. QA75 Electronic computers. Computer science The phenomenon of sample impoverishment during particle filtering always contribute computation burden to the inertial-based mobile IPS systems. This is due to the factor of noise measurement and number of particle. Usually, the special strategies resampling algorithms was used. However, these algorithms just can fit in certain environment. This needs an adaptation of noise measurement and number of particle in a algorithm in order to make resampling with more intelligence, reliability and robust. In this paper, we will propose an adaptive special strategies resampling by adapting noise and particle measurement. These adaptation is used to determine the most suitable algorithm of special strategies resampling, that can be switched for resampling purpose. Finally, we illustrate our proposed solution our for indoor environment setup. Science and Engineering Research Support Society 2017 Article PeerReviewed Bejuri, W. M. Y. W. and Murtadha Mohamad, M. and Radzi, R. Z. R. M. and Salleh, M. and Yusof, A. F. (2017) Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal. International Journal of Control and Automation, 10 (10). pp. 113-122. ISSN 2005-4297 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033360262&doi=10.14257%2fijca.2017.10.10.10&partnerID=40&md5=30a597bdcc6a9126a266a4d0ce76dd7e |
| spellingShingle | QA75 Electronic computers. Computer science Bejuri, W. M. Y. W. Murtadha Mohamad, M. Radzi, R. Z. R. M. Salleh, M. Yusof, A. F. Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title | Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title_full | Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title_fullStr | Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title_full_unstemmed | Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title_short | Adaptive special strategies resampling for inertial-based mobile indoor positioning systems: an initial proposal |
| title_sort | adaptive special strategies resampling for inertial based mobile indoor positioning systems an initial proposal |
| topic | QA75 Electronic computers. Computer science |
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