Presentation | 2007-09-28 Global and Local Solutions to Stochastic ML Estimation of DOA Haihua CHEN, Masakiyo SUZUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper addresses the issue of uniqueness of Stochastic Maximum Likelihood (SML) estimation for directions-of-arrival (DOA) finding. Global search techniques for the SML estimation fail to find DOA in many cases, unlike the Deterministic ML (DML) estimation. Based on investigating properties of global and local solutions, this paper reveals that its reason lies in the non-uniqueness of the SML estimation. Based on the idea that the SML local solution closest to the DML solution can be considered to be the most adequate for DOA finding, we propose an algorithm which uses a local search of the SML criterion together with the DML estimation as initialization. Finally some simulation results are shown to demonstrate the proposed algorithm is effective. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | DOA finding / Stochasric signal model / Deterministic signal model / ML / Uniqueness |
Paper # | SIP2007-98,SIS2007-34,SP2007-60 |
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Committee | SIP |
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Conference Date | 2007/9/21(1days) |
Place (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) | Global and Local Solutions to Stochastic ML Estimation of DOA |
Sub Title (in English) | |
Keyword(1) | DOA finding |
Keyword(2) | Stochasric 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 | 2007-09-28 |
Paper # | SIP2007-98,SIS2007-34,SP2007-60 |
Volume (vol) | vol.107 |
Number (no) | 235 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |