DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jin Ho | ko |
dc.contributor.author | Yoo, Chang-Dong | ko |
dc.date.accessioned | 2015-04-15T02:01:01Z | - |
dc.date.available | 2015-04-15T02:01:01Z | - |
dc.date.created | 2015-02-11 | - |
dc.date.created | 2015-02-11 | - |
dc.date.created | 2015-02-11 | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.63, no.7, pp.1858 - 1873 | - |
dc.identifier.issn | 1053-587X | - |
dc.identifier.uri | http://hdl.handle.net/10203/196057 | - |
dc.description.abstract | For estimating the direction of arrival (DOA) s of non-stationary source signals such as speech and audio, a constrained optimization problem (COP) that exploits the spatial diversity provided by an array of sensors is formulated in terms of a noise-eliminated local 2 rho th-order cumulant matrix. The COP solution provides a weight vector to the look direction such that it is constrained to the 2 rho th-order source-signal subspace when the look direction is in alignment with the true DOA; otherwise, it is constrained to the 2 rho th-order noise subspace. This weight vector is incorporated into the spatial spectrum to determine the degree of orthogonality between itself and either the 2 rho th-order source-signal subspace when the number of sources is unknown, or the 2 rho th-order noise subspace when the number of sources is known. For a uniform linear array (ULA) of M sensors, the spatial spectrum for known number of sources can theoretically be shown to identify up to 2 rho(M - 1) sources. Realizing the difficulty in identifying stationarity in the received sensor signals, the estimate of the noise-eliminated local 2 rho th-order cumulant matrix is marginalized over various possible stationary segmentations, for a more robust DOA estimation. In this paper, we focus on the use of local second and fourth order cumulants (rho = 1, 2), and the proposed algorithms when rho = 1 outperformed the KR subspace-based algorithms and also the 4-MUSIC for globally non-stationary, non-Gaussian synthetic data and also for speech/audio in various adverse environments. We verified that the identifiability for rho = 2 is improved by two-folds compared to that for rho = 1 with an ULA. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | HIGHER-ORDER STATISTICS | - |
dc.subject | VIRTUAL ARRAY CONCEPT | - |
dc.subject | SOURCE LOCALIZATION | - |
dc.subject | WIDE-BAND | - |
dc.subject | SIGNALS | - |
dc.subject | MUSIC | - |
dc.subject | ARRIVAL | - |
dc.subject | NUMBER | - |
dc.title | Underdetermined High-Resolution DOA Estimation: A 2 rho th-Order Source-Signal/Noise Subspace Constrained Optimization | - |
dc.type | Article | - |
dc.identifier.wosid | 000350880900019 | - |
dc.identifier.scopusid | 2-s2.0-84924678330 | - |
dc.type.rims | ART | - |
dc.citation.volume | 63 | - |
dc.citation.issue | 7 | - |
dc.citation.beginningpage | 1858 | - |
dc.citation.endingpage | 1873 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.identifier.doi | 10.1109/TSP.2015.2401531 | - |
dc.contributor.localauthor | Yoo, Chang-Dong | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | DOA estimation | - |
dc.subject.keywordAuthor | non-stationary source signal | - |
dc.subject.keywordAuthor | constrained optimization | - |
dc.subject.keywordAuthor | spatial spectrum | - |
dc.subject.keywordAuthor | DOA estimation | - |
dc.subject.keywordAuthor | non-stationary source signal | - |
dc.subject.keywordAuthor | constrained optimization | - |
dc.subject.keywordAuthor | spatial spectrum | - |
dc.subject.keywordPlus | HIGHER-ORDER STATISTICS | - |
dc.subject.keywordPlus | VIRTUAL ARRAY CONCEPT | - |
dc.subject.keywordPlus | SOURCE LOCALIZATION | - |
dc.subject.keywordPlus | WIDE-BAND | - |
dc.subject.keywordPlus | SIGNALS | - |
dc.subject.keywordPlus | MUSIC | - |
dc.subject.keywordPlus | ARRIVAL | - |
dc.subject.keywordPlus | NUMBER | - |
dc.subject.keywordPlus | HIGHER-ORDER STATISTICS | - |
dc.subject.keywordPlus | VIRTUAL ARRAY CONCEPT | - |
dc.subject.keywordPlus | SOURCE LOCALIZATION | - |
dc.subject.keywordPlus | WIDE-BAND | - |
dc.subject.keywordPlus | SIGNALS | - |
dc.subject.keywordPlus | MUSIC | - |
dc.subject.keywordPlus | ARRIVAL | - |
dc.subject.keywordPlus | NUMBER | - |
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