| Presentation | 2007-06-21 Uniqueness of ML Estimation of DOA Based on Stochastic Signal Model Haihua CHEN, Masakiyo SUZUKI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we discuss properties of global convergence in DOA finding based on Maximum Likelihood estimator using the stochastic signal model (abbreviated as SML). An adequate solution of SML is hardly obtained when using a global search method. This paper presents that the SML criterion does not have the uniqueness of the solution inherently. That is, many global minimum exist. Furthermore, it follows from the property of the SML criterion that in order to obtain an adequate solution of DOA, the use of a local search together with the initial value obtained by the deterministic ML is effective. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | DOA finding / Stochastic signal model / Deterministic signal model / ML / Uniqueness |
| Paper # | CAS2007-16,VLD2007-32,SIP2007-46 |
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| Conference Information | |
| Committee | SIP |
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| Conference Date | 2007/6/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Signal Processing (SIP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Uniqueness of ML Estimation of DOA Based on Stochastic Signal Model |
| Sub Title (in English) | |
| Keyword(1) | DOA finding |
| Keyword(2) | Stochastic signal model |
| Keyword(3) | Deterministic signal model |
| Keyword(4) | ML |
| Keyword(5) | Uniqueness |
| 1st Author's Name | Haihua CHEN |
| 1st Author's Affiliation | Graduate School of Engineering, Kitami Institute of Technology() |
| 2nd Author's Name | Masakiyo SUZUKI |
| 2nd Author's Affiliation | Graduate School of Engineering, Kitami Institute of Technology |
| Date | 2007-06-21 |
| Paper # | CAS2007-16,VLD2007-32,SIP2007-46 |
| Volume (vol) | vol.107 |
| Number (no) | 104 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |