Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226098544> ?p ?o ?g. }
- W4226098544 endingPage "108478" @default.
- W4226098544 startingPage "108478" @default.
- W4226098544 abstract "This paper analyzes the deterministic (DCRB) and the stochastic (SCRB) Cramér-Rao bound on direction-of-arrival (DOA) estimation for two equi-powered correlated complex circular or rectilinear sources affected by complex circular white noise in different complex elliptically symmetric (CES) data models. Beginning by decomposing these CRBs, into factors depending on signal and noise parameters, and on geometric parameters of the array, some new interpretable closed-form expressions are derived in particular scenarios. These expressions provide useful insight into the behavior of these CRB’s dependence on the correlation factor. Approximate closed-form expressions of these CRBs for small DOA separation are also derived. These results lead to new formulas for statistical resolution limit (SRL) based on the Smith criterion at which an unbiased DOA estimation algorithm can resolve two closely-spaced circular or rectilinear sources. These SCRB-derived formulas are much less optimistic than those which have so far been deduced only from the DCRB under the assumption of known sources." @default.
- W4226098544 created "2022-05-05" @default.
- W4226098544 creator A5054123733 @default.
- W4226098544 creator A5060918936 @default.
- W4226098544 date "2022-06-01" @default.
- W4226098544 modified "2023-09-27" @default.
- W4226098544 title "Refinement and derivation of statistical resolution limits for circular or rectilinear correlated sources in CES data models" @default.
- W4226098544 cites W1483224573 @default.
- W4226098544 cites W1491758811 @default.
- W4226098544 cites W178005215 @default.
- W4226098544 cites W1975560590 @default.
- W4226098544 cites W1976261516 @default.
- W4226098544 cites W1992511687 @default.
- W4226098544 cites W1994065850 @default.
- W4226098544 cites W2002490296 @default.
- W4226098544 cites W2018901154 @default.
- W4226098544 cites W2025742588 @default.
- W4226098544 cites W2044342600 @default.
- W4226098544 cites W2047417243 @default.
- W4226098544 cites W2075424531 @default.
- W4226098544 cites W2076764958 @default.
- W4226098544 cites W2099284297 @default.
- W4226098544 cites W2107963043 @default.
- W4226098544 cites W2116414176 @default.
- W4226098544 cites W2124759134 @default.
- W4226098544 cites W2127395378 @default.
- W4226098544 cites W2130528638 @default.
- W4226098544 cites W2138004508 @default.
- W4226098544 cites W2139748108 @default.
- W4226098544 cites W2144597985 @default.
- W4226098544 cites W2144833976 @default.
- W4226098544 cites W2147855704 @default.
- W4226098544 cites W2149755721 @default.
- W4226098544 cites W2156782020 @default.
- W4226098544 cites W2172471206 @default.
- W4226098544 cites W2173500095 @default.
- W4226098544 cites W2300869723 @default.
- W4226098544 cites W2319242018 @default.
- W4226098544 cites W2357400875 @default.
- W4226098544 cites W2749206583 @default.
- W4226098544 cites W2763152789 @default.
- W4226098544 cites W2884244916 @default.
- W4226098544 cites W2950515999 @default.
- W4226098544 cites W3023115543 @default.
- W4226098544 cites W3099401462 @default.
- W4226098544 cites W3103375182 @default.
- W4226098544 doi "https://doi.org/10.1016/j.sigpro.2022.108478" @default.
- W4226098544 hasPublicationYear "2022" @default.
- W4226098544 type Work @default.
- W4226098544 citedByCount "1" @default.
- W4226098544 countsByYear W42260985442023 @default.
- W4226098544 crossrefType "journal-article" @default.
- W4226098544 hasAuthorship W4226098544A5054123733 @default.
- W4226098544 hasAuthorship W4226098544A5060918936 @default.
- W4226098544 hasBestOaLocation W42260985441 @default.
- W4226098544 hasConcept C105795698 @default.
- W4226098544 hasConcept C112633086 @default.
- W4226098544 hasConcept C11413529 @default.
- W4226098544 hasConcept C115961682 @default.
- W4226098544 hasConcept C121332964 @default.
- W4226098544 hasConcept C121864883 @default.
- W4226098544 hasConcept C134306372 @default.
- W4226098544 hasConcept C138268822 @default.
- W4226098544 hasConcept C151201525 @default.
- W4226098544 hasConcept C154945302 @default.
- W4226098544 hasConcept C167928553 @default.
- W4226098544 hasConcept C199360897 @default.
- W4226098544 hasConcept C2779843651 @default.
- W4226098544 hasConcept C28826006 @default.
- W4226098544 hasConcept C33923547 @default.
- W4226098544 hasConcept C41008148 @default.
- W4226098544 hasConcept C4978587 @default.
- W4226098544 hasConcept C99498987 @default.
- W4226098544 hasConceptScore W4226098544C105795698 @default.
- W4226098544 hasConceptScore W4226098544C112633086 @default.
- W4226098544 hasConceptScore W4226098544C11413529 @default.
- W4226098544 hasConceptScore W4226098544C115961682 @default.
- W4226098544 hasConceptScore W4226098544C121332964 @default.
- W4226098544 hasConceptScore W4226098544C121864883 @default.
- W4226098544 hasConceptScore W4226098544C134306372 @default.
- W4226098544 hasConceptScore W4226098544C138268822 @default.
- W4226098544 hasConceptScore W4226098544C151201525 @default.
- W4226098544 hasConceptScore W4226098544C154945302 @default.
- W4226098544 hasConceptScore W4226098544C167928553 @default.
- W4226098544 hasConceptScore W4226098544C199360897 @default.
- W4226098544 hasConceptScore W4226098544C2779843651 @default.
- W4226098544 hasConceptScore W4226098544C28826006 @default.
- W4226098544 hasConceptScore W4226098544C33923547 @default.
- W4226098544 hasConceptScore W4226098544C41008148 @default.
- W4226098544 hasConceptScore W4226098544C4978587 @default.
- W4226098544 hasConceptScore W4226098544C99498987 @default.
- W4226098544 hasLocation W42260985441 @default.
- W4226098544 hasLocation W42260985442 @default.
- W4226098544 hasLocation W42260985443 @default.
- W4226098544 hasOpenAccess W4226098544 @default.
- W4226098544 hasPrimaryLocation W42260985441 @default.
- W4226098544 hasRelatedWork W1604705029 @default.
- W4226098544 hasRelatedWork W1999813013 @default.