Matches in SemOpenAlex for { <https://semopenalex.org/work/W2160783189> ?p ?o ?g. }
- W2160783189 endingPage "2191" @default.
- W2160783189 startingPage "2179" @default.
- W2160783189 abstract "Existing algorithms for wideband direction finding are mainly based on local approximations of the Gaussian log-likelihood around the true directions of arrival (DOAs), assuming negligible array calibration errors. Suboptimal and costly algorithms, such as classical or sequential beamforming, are required to initialize a local search that eventually furnishes DOA estimates. This multistage process may be nonrobust in the presence of even small errors in prior guesses about angles and number of sources generated by inherent limitations of the preprocessing and may lead to catastrophic errors in practical applications. A new approach to wideband direction finding is introduced and described. The proposed strategy combines a robust near-optimal data-adaptive statistic, called the weighted average of signal subspaces (WAVES), with an enhanced design of focusing matrices to ensure a statistically robust preprocessing of wideband data. The overall sensitivity of WAVES to various error sources, such as imperfect array focusing, is also reduced with respect to traditional CSSM algorithms, as demonstrated by extensive Monte Carlo simulations." @default.
- W2160783189 created "2016-06-24" @default.
- W2160783189 creator A5065269108 @default.
- W2160783189 creator A5090987990 @default.
- W2160783189 date "2001-01-01" @default.
- W2160783189 modified "2023-10-18" @default.
- W2160783189 title "WAVES: weighted average of signal subspaces for robust wideband direction finding" @default.
- W2160783189 cites W1968756604 @default.
- W2160783189 cites W1970878762 @default.
- W2160783189 cites W1974513581 @default.
- W2160783189 cites W2015227997 @default.
- W2160783189 cites W2024772675 @default.
- W2160783189 cites W2041050174 @default.
- W2160783189 cites W2075424531 @default.
- W2160783189 cites W2096710051 @default.
- W2160783189 cites W2096835548 @default.
- W2160783189 cites W2097670707 @default.
- W2160783189 cites W2097727109 @default.
- W2160783189 cites W2099103871 @default.
- W2160783189 cites W2100039303 @default.
- W2160783189 cites W2113638573 @default.
- W2160783189 cites W2116365951 @default.
- W2160783189 cites W2122737651 @default.
- W2160783189 cites W2128131274 @default.
- W2160783189 cites W2129945011 @default.
- W2160783189 cites W2134609006 @default.
- W2160783189 cites W2136172079 @default.
- W2160783189 cites W2138087609 @default.
- W2160783189 cites W2142000331 @default.
- W2160783189 cites W2144833976 @default.
- W2160783189 cites W2149755721 @default.
- W2160783189 cites W2150004236 @default.
- W2160783189 cites W2152875337 @default.
- W2160783189 cites W2155167894 @default.
- W2160783189 cites W2162654459 @default.
- W2160783189 cites W2163994287 @default.
- W2160783189 cites W2171908478 @default.
- W2160783189 cites W2489822048 @default.
- W2160783189 cites W4213083691 @default.
- W2160783189 doi "https://doi.org/10.1109/78.950774" @default.
- W2160783189 hasPublicationYear "2001" @default.
- W2160783189 type Work @default.
- W2160783189 sameAs 2160783189 @default.
- W2160783189 citedByCount "152" @default.
- W2160783189 countsByYear W21607831892012 @default.
- W2160783189 countsByYear W21607831892013 @default.
- W2160783189 countsByYear W21607831892014 @default.
- W2160783189 countsByYear W21607831892015 @default.
- W2160783189 countsByYear W21607831892016 @default.
- W2160783189 countsByYear W21607831892017 @default.
- W2160783189 countsByYear W21607831892018 @default.
- W2160783189 countsByYear W21607831892019 @default.
- W2160783189 countsByYear W21607831892020 @default.
- W2160783189 countsByYear W21607831892021 @default.
- W2160783189 countsByYear W21607831892022 @default.
- W2160783189 countsByYear W21607831892023 @default.
- W2160783189 crossrefType "journal-article" @default.
- W2160783189 hasAuthorship W2160783189A5065269108 @default.
- W2160783189 hasAuthorship W2160783189A5090987990 @default.
- W2160783189 hasConcept C105795698 @default.
- W2160783189 hasConcept C11413529 @default.
- W2160783189 hasConcept C12362212 @default.
- W2160783189 hasConcept C127413603 @default.
- W2160783189 hasConcept C154945302 @default.
- W2160783189 hasConcept C19499675 @default.
- W2160783189 hasConcept C24326235 @default.
- W2160783189 hasConcept C2524010 @default.
- W2160783189 hasConcept C2776096036 @default.
- W2160783189 hasConcept C2780202535 @default.
- W2160783189 hasConcept C33923547 @default.
- W2160783189 hasConcept C34736171 @default.
- W2160783189 hasConcept C41008148 @default.
- W2160783189 hasConcept C54197355 @default.
- W2160783189 hasConcept C76155785 @default.
- W2160783189 hasConceptScore W2160783189C105795698 @default.
- W2160783189 hasConceptScore W2160783189C11413529 @default.
- W2160783189 hasConceptScore W2160783189C12362212 @default.
- W2160783189 hasConceptScore W2160783189C127413603 @default.
- W2160783189 hasConceptScore W2160783189C154945302 @default.
- W2160783189 hasConceptScore W2160783189C19499675 @default.
- W2160783189 hasConceptScore W2160783189C24326235 @default.
- W2160783189 hasConceptScore W2160783189C2524010 @default.
- W2160783189 hasConceptScore W2160783189C2776096036 @default.
- W2160783189 hasConceptScore W2160783189C2780202535 @default.
- W2160783189 hasConceptScore W2160783189C33923547 @default.
- W2160783189 hasConceptScore W2160783189C34736171 @default.
- W2160783189 hasConceptScore W2160783189C41008148 @default.
- W2160783189 hasConceptScore W2160783189C54197355 @default.
- W2160783189 hasConceptScore W2160783189C76155785 @default.
- W2160783189 hasIssue "10" @default.
- W2160783189 hasLocation W21607831891 @default.
- W2160783189 hasOpenAccess W2160783189 @default.
- W2160783189 hasPrimaryLocation W21607831891 @default.
- W2160783189 hasRelatedWork W1972329330 @default.
- W2160783189 hasRelatedWork W1972802803 @default.
- W2160783189 hasRelatedWork W2084411319 @default.
- W2160783189 hasRelatedWork W2098127573 @default.
- W2160783189 hasRelatedWork W2170007362 @default.