Nonparametric obstruction detection for UWB localization
Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accur...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2010
|
| Online Access: | http://hdl.handle.net/1721.1/59985 https://orcid.org/0000-0002-8573-0488 |
| _version_ | 1826207697283842048 |
|---|---|
| author | Win, Moe Z. Gifford, Wesley Michael Marano, Stefano Wymeersch, Henk |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Win, Moe Z. Gifford, Wesley Michael Marano, Stefano Wymeersch, Henk |
| author_sort | Win, Moe Z. |
| collection | MIT |
| description | Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accuracy. We have performed an extensive indoor measurement campaign with FCC-compliant UWB radios to quantify the effect of non-line-of-sight (NLOS) propagation. Based on this campaign, we extract key features that allow us to distinguish between NLOS and LOS conditions. We then propose a nonparametric approach based on support vector machines for NLOS identification, and compare it with existing parametric (i.e., model-based) approaches. Finally, we evaluate the impact on localization through Monte Carlo simulation. Our results show that it is possible to improve positioning accuracy relying solely on the received UWB signal. |
| first_indexed | 2024-09-23T13:53:33Z |
| format | Article |
| id | mit-1721.1/59985 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:53:33Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/599852022-10-01T17:49:26Z Nonparametric obstruction detection for UWB localization Win, Moe Z. Gifford, Wesley Michael Marano, Stefano Wymeersch, Henk Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Win, Moe Z. Win, Moe Z. Gifford, Wesley Michael Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accuracy. We have performed an extensive indoor measurement campaign with FCC-compliant UWB radios to quantify the effect of non-line-of-sight (NLOS) propagation. Based on this campaign, we extract key features that allow us to distinguish between NLOS and LOS conditions. We then propose a nonparametric approach based on support vector machines for NLOS identification, and compare it with existing parametric (i.e., model-based) approaches. Finally, we evaluate the impact on localization through Monte Carlo simulation. Our results show that it is possible to improve positioning accuracy relying solely on the received UWB signal. National Science Foundation (U.S.) (ECCS-0636519) National Institutes of Health (U.S.) (ECCS-0901034) United States. Office of Naval Research (Presidential Early Career Award for Scientists and Engineers (PECASE) N00014- 09-1-0435) Defense University Research Instrumentation Program (U.S.) (Grant N00014-08-1-0826) MIT/Army Institute for Soldier Nanotechnologies 2010-11-12T20:56:04Z 2010-11-12T20:56:04Z 2010-03 2009-11 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-4148-8 1930-529X INSPEC Accession Number: 11171135 http://hdl.handle.net/1721.1/59985 Marano, S. et al. “Nonparametric Obstruction Detection for UWB Localization.” Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. 2009. 1-6. ©2009 IEEE. https://orcid.org/0000-0002-8573-0488 en_US http://dx.doi.org/10.1109/GLOCOM.2009.5425460 IEEE Global Telecommunications Conference, 2009. GLOBECOM 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Win, Moe Z. Gifford, Wesley Michael Marano, Stefano Wymeersch, Henk Nonparametric obstruction detection for UWB localization |
| title | Nonparametric obstruction detection for UWB localization |
| title_full | Nonparametric obstruction detection for UWB localization |
| title_fullStr | Nonparametric obstruction detection for UWB localization |
| title_full_unstemmed | Nonparametric obstruction detection for UWB localization |
| title_short | Nonparametric obstruction detection for UWB localization |
| title_sort | nonparametric obstruction detection for uwb localization |
| url | http://hdl.handle.net/1721.1/59985 https://orcid.org/0000-0002-8573-0488 |
| work_keys_str_mv | AT winmoez nonparametricobstructiondetectionforuwblocalization AT giffordwesleymichael nonparametricobstructiondetectionforuwblocalization AT maranostefano nonparametricobstructiondetectionforuwblocalization AT wymeerschhenk nonparametricobstructiondetectionforuwblocalization |