| Presentation | 2012-01-19 A Study on Radio Wave Features for Localization with Array Sensor Jihoon HONG, Tomoaki OHTSUKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have proposed a localization method based on array sensor that uses the radio wave propagation of interest. The method can localize a person's position using features derived from eigenvalue decomposition (EVD) with the spatial smoothing processing (SSP). The most advantages of the method are ensuring user's privacy, elimination of installation difficulties, and offering a wide detection area. In addition, the method could achieve high localization accuracy using support vector machine (SVM). In this report, we analyze combination of features including the signal eigenvectors and their corresponding eigenvalues with SSP, and the received signal strength (RSS) on each antenna. Moreover, we study the localization performance by changing the number of snapshots. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | localization / array antenna / support vector machine |
| Paper # | USN2011-66 |
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| Conference Information | |
| Committee | USN |
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| Conference Date | 2012/1/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Radio Wave Features for Localization with Array Sensor |
| Sub Title (in English) | |
| Keyword(1) | localization |
| Keyword(2) | array antenna |
| Keyword(3) | support vector machine |
| 1st Author's Name | Jihoon HONG |
| 1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
| 2nd Author's Name | Tomoaki OHTSUKI |
| 2nd Author's Affiliation | Graduate School of Science and Technology, Keio University |
| Date | 2012-01-19 |
| Paper # | USN2011-66 |
| Volume (vol) | vol.111 |
| Number (no) | 386 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |