Presentation | 2009-06-11 Exact Formulation of Stochastic ML Extimation of DOA Masakiyo SUZUKI, Hihua CHEN, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents an exact formulation of Stochastic or Unconditional Maximum Likelihood (UML) estimation for directions-of-arrival (DOA) finding. In the previous formulation, an important condition is missing. That is the non-negative definiteness of the covariance matrix of signal components without additive noises. Because of this, it is not only guaranteed that the covariance matrix is non-negative definite, but also inadequate global solutions appear in the solution space. Furthermore global search fails in finding an adequate solution. This paper proposes an exact formulation of UML which guarantees to estimete a non-negative definite covariance matrix of signal components. Then the inadequate global solutions disappear and global search succeeds in finding adequate solution. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | DOA finding / ML estimation / stochastic signal model / non-negative definiteness |
Paper # | SIS2009-2 |
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Committee | SIS |
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Conference Date | 2009/6/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Exact Formulation of Stochastic ML Extimation of DOA |
Sub Title (in English) | |
Keyword(1) | DOA finding |
Keyword(2) | ML estimation |
Keyword(3) | stochastic signal model |
Keyword(4) | non-negative definiteness |
1st Author's Name | Masakiyo SUZUKI |
1st Author's Affiliation | Kitami Institute of Technology() |
2nd Author's Name | Hihua CHEN |
2nd Author's Affiliation | Kitami Institute of Technology |
Date | 2009-06-11 |
Paper # | SIS2009-2 |
Volume (vol) | vol.109 |
Number (no) | 78 |
Page | pp.pp.- |
#Pages | 6 |
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