See through walls with Wi-Fi
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1721.1/82183 |
| _version_ | 1826198715301363712 |
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| author | Adib, Fadel |
| author2 | Dina Katabi. |
| author_facet | Dina Katabi. Adib, Fadel |
| author_sort | Adib, Fadel |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T11:09:00Z |
| format | Thesis |
| id | mit-1721.1/82183 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:09:00Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/821832019-04-10T09:28:31Z See through walls with Wi-Fi Adib, Fadel Dina Katabi. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (p. 61-64). Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this thesis, we show that Wi-Fi can also extend our senses, enabling us to see moving objects through walls and behind closed doors. For example, we can identify the number of people in a closed room and their relative locations. We can also identify simple gestures made behind a wall. Further, by combining a sequence of gestures, a human can communicate messages to a wireless receiver without carrying any transmitting device. The thesis introduces two main innovations. First, it shows how one can use MIMO interference nulling to eliminate reflections off static objects and focus the receiver on a moving target. Second, it shows how one can track a human by treating the motion of a human body as an antenna array and tracking the resulting RF beam. We demonstrate the validity of our design by building it into USRP software radios and testing it in office buildings. by Fadel Adib. S.M. 2013-11-18T17:36:58Z 2013-11-18T17:36:58Z 2013 2013 Thesis http://hdl.handle.net/1721.1/82183 862074328 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 64 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Adib, Fadel See through walls with Wi-Fi |
| title | See through walls with Wi-Fi |
| title_full | See through walls with Wi-Fi |
| title_fullStr | See through walls with Wi-Fi |
| title_full_unstemmed | See through walls with Wi-Fi |
| title_short | See through walls with Wi-Fi |
| title_sort | see through walls with wi fi |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/82183 |
| work_keys_str_mv | AT adibfadel seethroughwallswithwifi |