Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808769824> ?p ?o ?g. }
- W2808769824 endingPage "795" @default.
- W2808769824 startingPage "783" @default.
- W2808769824 abstract "Two-dimensional arrays are required to generate 3-D acoustic images in both near-field and far-field regions. However, almost all of the sparse methods, which decrease the number of elements, only synthesize the 2-D sparse arrays in far-field conditions. In this paper, a novel method is proposed for optimizing sparse array in both near-field and far-field conditions that improving the sparseness of the optimized array. First, a new energy function is proposed and successfully synthesizes sparse arrays in both near-field and far-field conditions. The simplified form of the new energy function is then presented for cutting down computational load during optimization process. Second, the nongrid sparse array technology, which connotes irregular element positioning, is introduced into the simulated annealing algorithm to extensively reduce the number of active elements. Finally, the optimized method is demonstrated through designing a cross array with 100 + 100 elements. The results show notable improvements on the array characteristics in random working distances over those reported in the literature." @default.
- W2808769824 created "2018-06-29" @default.
- W2808769824 creator A5008526350 @default.
- W2808769824 creator A5035144586 @default.
- W2808769824 creator A5062648899 @default.
- W2808769824 creator A5078620613 @default.
- W2808769824 date "2019-07-01" @default.
- W2808769824 modified "2023-10-16" @default.
- W2808769824 title "Optimized Design for Sparse Cross Arrays in Both Near-Field and Far-Field" @default.
- W2808769824 cites W1844966103 @default.
- W2808769824 cites W1989075005 @default.
- W2808769824 cites W2008455861 @default.
- W2808769824 cites W2034512910 @default.
- W2808769824 cites W2048170511 @default.
- W2808769824 cites W2058331514 @default.
- W2808769824 cites W2069249442 @default.
- W2808769824 cites W2075286448 @default.
- W2808769824 cites W2088213824 @default.
- W2808769824 cites W2100086189 @default.
- W2808769824 cites W2106767571 @default.
- W2808769824 cites W2108940185 @default.
- W2808769824 cites W2111887076 @default.
- W2808769824 cites W2126305565 @default.
- W2808769824 cites W2127636563 @default.
- W2808769824 cites W2129833531 @default.
- W2808769824 cites W2130949563 @default.
- W2808769824 cites W2136447426 @default.
- W2808769824 cites W2143946906 @default.
- W2808769824 cites W2153441899 @default.
- W2808769824 cites W2153852861 @default.
- W2808769824 cites W2157672732 @default.
- W2808769824 cites W2160372232 @default.
- W2808769824 cites W2168265940 @default.
- W2808769824 cites W2204302229 @default.
- W2808769824 cites W2227229035 @default.
- W2808769824 cites W2334215398 @default.
- W2808769824 cites W2338563909 @default.
- W2808769824 cites W2510844639 @default.
- W2808769824 cites W2528246369 @default.
- W2808769824 cites W2766077843 @default.
- W2808769824 doi "https://doi.org/10.1109/joe.2018.2837458" @default.
- W2808769824 hasPublicationYear "2019" @default.
- W2808769824 type Work @default.
- W2808769824 sameAs 2808769824 @default.
- W2808769824 citedByCount "8" @default.
- W2808769824 countsByYear W28087698242020 @default.
- W2808769824 countsByYear W28087698242021 @default.
- W2808769824 countsByYear W28087698242022 @default.
- W2808769824 countsByYear W28087698242023 @default.
- W2808769824 crossrefType "journal-article" @default.
- W2808769824 hasAuthorship W2808769824A5008526350 @default.
- W2808769824 hasAuthorship W2808769824A5035144586 @default.
- W2808769824 hasAuthorship W2808769824A5062648899 @default.
- W2808769824 hasAuthorship W2808769824A5078620613 @default.
- W2808769824 hasConcept C105795698 @default.
- W2808769824 hasConcept C11413529 @default.
- W2808769824 hasConcept C120665830 @default.
- W2808769824 hasConcept C121332964 @default.
- W2808769824 hasConcept C126980161 @default.
- W2808769824 hasConcept C14036430 @default.
- W2808769824 hasConcept C145177509 @default.
- W2808769824 hasConcept C186370098 @default.
- W2808769824 hasConcept C202444582 @default.
- W2808769824 hasConcept C25227671 @default.
- W2808769824 hasConcept C33923547 @default.
- W2808769824 hasConcept C41008148 @default.
- W2808769824 hasConcept C78458016 @default.
- W2808769824 hasConcept C86803240 @default.
- W2808769824 hasConcept C9652623 @default.
- W2808769824 hasConceptScore W2808769824C105795698 @default.
- W2808769824 hasConceptScore W2808769824C11413529 @default.
- W2808769824 hasConceptScore W2808769824C120665830 @default.
- W2808769824 hasConceptScore W2808769824C121332964 @default.
- W2808769824 hasConceptScore W2808769824C126980161 @default.
- W2808769824 hasConceptScore W2808769824C14036430 @default.
- W2808769824 hasConceptScore W2808769824C145177509 @default.
- W2808769824 hasConceptScore W2808769824C186370098 @default.
- W2808769824 hasConceptScore W2808769824C202444582 @default.
- W2808769824 hasConceptScore W2808769824C25227671 @default.
- W2808769824 hasConceptScore W2808769824C33923547 @default.
- W2808769824 hasConceptScore W2808769824C41008148 @default.
- W2808769824 hasConceptScore W2808769824C78458016 @default.
- W2808769824 hasConceptScore W2808769824C86803240 @default.
- W2808769824 hasConceptScore W2808769824C9652623 @default.
- W2808769824 hasFunder F4320322927 @default.
- W2808769824 hasFunder F4320326952 @default.
- W2808769824 hasFunder F4320335787 @default.
- W2808769824 hasIssue "3" @default.
- W2808769824 hasLocation W28087698241 @default.
- W2808769824 hasOpenAccess W2808769824 @default.
- W2808769824 hasPrimaryLocation W28087698241 @default.
- W2808769824 hasRelatedWork W1023186854 @default.
- W2808769824 hasRelatedWork W2148738811 @default.
- W2808769824 hasRelatedWork W2349885810 @default.
- W2808769824 hasRelatedWork W2353361148 @default.
- W2808769824 hasRelatedWork W2359271842 @default.
- W2808769824 hasRelatedWork W2361942530 @default.
- W2808769824 hasRelatedWork W2378207389 @default.