Presentation | 2012-06-21 Hidden Markov Model Based Localization Using Array Antenna Yusuke INATOMI, Jihoon HONG, Tomoaki OHTSUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We presented a hidden Markov model (HMM) based localization using array antenna. This method is based on fingerprinting, and uses eigenvector spanning signal subspace as a feature for location. In general, conventional fingerprinting method estimates the location for each time independently. As a result, the trajectory of the target is disorderly. The proposed method takes previous location estimation into account to smoothen the trajectory of the target by applying HMM. Experimental result shows that the localization accuracy of the proposed method is superior to that of the conventional one. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | HMM / array antenna / subspace method / Viterbi algorithm |
Paper # | RCS2012-43 |
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Committee | RCS |
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Conference Date | 2012/6/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Radio Communication Systems (RCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Hidden Markov Model Based Localization Using Array Antenna |
Sub Title (in English) | |
Keyword(1) | HMM |
Keyword(2) | array antenna |
Keyword(3) | subspace method |
Keyword(4) | Viterbi algorithm |
1st Author's Name | Yusuke INATOMI |
1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
2nd Author's Name | Jihoon HONG |
2nd Author's Affiliation | Graduate School of Science and Technology, Keio University |
3rd Author's Name | Tomoaki OHTSUKI |
3rd Author's Affiliation | Department of Computer and Information Science, Keio University |
Date | 2012-06-21 |
Paper # | RCS2012-43 |
Volume (vol) | vol.112 |
Number (no) | 89 |
Page | pp.pp.- |
#Pages | 6 |
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