2013 Fiscal Year Final Research Report
Improvement of selectivity and sensitivity of odor sensor using stochastic resonance and subspace method
| Project/Area Number |
23760394
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Control engineering
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| Research Institution | Kanazawa Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Keywords | 確率共鳴現象 / 部分空間法 / 匂いセンサ |
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| Research Abstract |
In this study, an improvement of selectivity and sensitivity of odor sensor system are investigated. The stochastic resonance can be expected to improve a sensitivity of a gas sensor, then we have considered the system parameter to appear the stochastic resonance by numerical simulations, especially, in terms of the nonlinear component in the system. The subspace-based Prony's method is proposed and we have shown that the method can extract features of a sensor response to multicomponent gasses which can be used to improve a selectivity and also give an information of the number of the gas components contained in an input odor.
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Research Products
(5 results)
