A smartphone localization algorithm using RSSI and inertial sensor measurement fusion
Indoor navigation using the existing wireless infrastructure and mobile devices is a very active research area. The major challenge is to leverage the extensive smartphone sensor suite to achieve location tracking with high accuracy. In this paper, we develop a navigation algorithm which fuses the W...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/97212 https://orcid.org/0000-0002-8573-0488 |
| _version_ | 1826213262358740992 |
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| author | Li, William Wei-Liang Iltis, Ronald A. Win, Moe Z. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Li, William Wei-Liang Iltis, Ronald A. Win, Moe Z. |
| author_sort | Li, William Wei-Liang |
| collection | MIT |
| description | Indoor navigation using the existing wireless infrastructure and mobile devices is a very active research area. The major challenge is to leverage the extensive smartphone sensor suite to achieve location tracking with high accuracy. In this paper, we develop a navigation algorithm which fuses the WiFi received signal strength indicator (RSSI) and smartphone inertial sensor measurements. A sequential Monte Carlo filter is developed for inertial sensor based tracking, and a radiolocation algorithm is developed to infer mobile location based on RSSI measurements. The simulation results show that the proposed algorithm significantly outperforms the extended Kalman filter (EKF), and achieves competitive location accuracy compared with the round trip time (RTT) based ultra-wideband (UWB) system. |
| first_indexed | 2024-09-23T15:46:16Z |
| format | Article |
| id | mit-1721.1/97212 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:46:16Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/972122022-09-29T16:00:31Z A smartphone localization algorithm using RSSI and inertial sensor measurement fusion Li, William Wei-Liang Iltis, Ronald A. Win, Moe Z. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Win, Moe Z. Indoor navigation using the existing wireless infrastructure and mobile devices is a very active research area. The major challenge is to leverage the extensive smartphone sensor suite to achieve location tracking with high accuracy. In this paper, we develop a navigation algorithm which fuses the WiFi received signal strength indicator (RSSI) and smartphone inertial sensor measurements. A sequential Monte Carlo filter is developed for inertial sensor based tracking, and a radiolocation algorithm is developed to infer mobile location based on RSSI measurements. The simulation results show that the proposed algorithm significantly outperforms the extended Kalman filter (EKF), and achieves competitive location accuracy compared with the round trip time (RTT) based ultra-wideband (UWB) system. National Science Foundation (U.S.) (Grant ECCS-0901034) United States. Office of Naval Research (Grant N00014-11-1-0397) Defense University Research Instrumentation Program (U.S.) (Grant N00014-08-1-0826) Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies 2015-06-08T14:41:35Z 2015-06-08T14:41:35Z 2013-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-1353-4 http://hdl.handle.net/1721.1/97212 Li, William Wei-Liang, Ronald A. Iltis, and Moe Z. Win. “A Smartphone Localization Algorithm Using RSSI and Inertial Sensor Measurement Fusion.” 2013 IEEE Global Communications Conference (GLOBECOM) (December 2013). https://orcid.org/0000-0002-8573-0488 en_US http://dx.doi.org/10.1109/GLOCOM.2013.6831587 Proceedings of the 2013 IEEE Global Communications Conference (GLOBECOM) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other univ. web domain |
| spellingShingle | Li, William Wei-Liang Iltis, Ronald A. Win, Moe Z. A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title | A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title_full | A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title_fullStr | A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title_full_unstemmed | A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title_short | A smartphone localization algorithm using RSSI and inertial sensor measurement fusion |
| title_sort | smartphone localization algorithm using rssi and inertial sensor measurement fusion |
| url | http://hdl.handle.net/1721.1/97212 https://orcid.org/0000-0002-8573-0488 |
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