2014 Fiscal Year Final Research Report
Monitoring Sensor Using Radio Wave
| Project/Area Number |
24656258
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Measurement engineering
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| Research Institution | Keio University |
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Principal Investigator |
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| Research Collaborator |
HONG Jihoon
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Keywords | アレーセンサ / 固有値 / 固有ベクトル / 位置推定 / 状態識別 |
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| Outline of Final Research Achievements |
In this research we first evaluated the relation between each radio feature and state and/or position, where radio features are eigenvalue and eigenvector expanding signal subspace by experiments. Based on the evaluation, we proposed state classification techniques using machine learning such as support vector machine. We also proposed a localization technique based on radio features obtained by array sensor. Our localization technique is a kind of fingerprinting technique so that we need training in advance. It is not so practical to test in many positions in advance. Thus, we want a localization technique that can localize positions where test is not done in advance. Our proposed localization technique can localize even positions without training and achieve higher localization accuracy, compared with the conventional radio signal strength (RSS) based localization technique, such as Nuzzer.
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| Free Research Field |
情報通信工学
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