Matches in SemOpenAlex for { <https://semopenalex.org/work/W3147805225> ?p ?o ?g. }
- W3147805225 endingPage "2488" @default.
- W3147805225 startingPage "2488" @default.
- W3147805225 abstract "A common problem in through-wall radar is reflected signals much attenuated by wall and environmental noise. The reflected signal is a convolution product of a wavelet and an unknown object time series. This paper aims to extract the object time series from a noisy receiving signal of through-wall ultrawideband (UWB) radar by sparse deconvolution based on arctangent regularization. Arctangent regularization is one of the suitably nonconvex regularizations that can provide a reliable solution and more accuracy, compared with convex regularizations. An iterative technique for this deconvolution problem is derived by the majorization–minimization (MM) approach so that the problem can be solved efficiently. In the various experiments, sparse deconvolution with the arctangent regularization can identify human positions from the noisy received signals of through- wall UWB radar. Although the proposed method is an odd concept, the interest of this paper is in applying sparse deconvolution, based on arctangent regularization with an S-band UWB radar, to provide a more accurate detection of a human position behind a concrete wall." @default.
- W3147805225 created "2021-04-13" @default.
- W3147805225 creator A5016018763 @default.
- W3147805225 creator A5037657091 @default.
- W3147805225 date "2021-04-03" @default.
- W3147805225 modified "2023-10-14" @default.
- W3147805225 title "Through-Wall UWB Radar Based on Sparse Deconvolution with Arctangent Regularization for Locating Human Subjects" @default.
- W3147805225 cites W1973352451 @default.
- W3147805225 cites W1975377467 @default.
- W3147805225 cites W1975704715 @default.
- W3147805225 cites W1999432499 @default.
- W3147805225 cites W2007650467 @default.
- W3147805225 cites W2011687187 @default.
- W3147805225 cites W2016970698 @default.
- W3147805225 cites W2038063001 @default.
- W3147805225 cites W2040657720 @default.
- W3147805225 cites W2080379861 @default.
- W3147805225 cites W2086047227 @default.
- W3147805225 cites W2091710302 @default.
- W3147805225 cites W2112632589 @default.
- W3147805225 cites W2122688057 @default.
- W3147805225 cites W2122950831 @default.
- W3147805225 cites W2124629638 @default.
- W3147805225 cites W2129151684 @default.
- W3147805225 cites W2136485351 @default.
- W3147805225 cites W2317407535 @default.
- W3147805225 cites W2519768423 @default.
- W3147805225 cites W2550543467 @default.
- W3147805225 cites W2575237940 @default.
- W3147805225 cites W2593659125 @default.
- W3147805225 cites W2771558203 @default.
- W3147805225 cites W2790573901 @default.
- W3147805225 cites W2886697509 @default.
- W3147805225 cites W2891543615 @default.
- W3147805225 cites W2904142392 @default.
- W3147805225 cites W2909717222 @default.
- W3147805225 cites W2911660423 @default.
- W3147805225 cites W2963927147 @default.
- W3147805225 cites W2965024619 @default.
- W3147805225 cites W2974434404 @default.
- W3147805225 cites W2979658372 @default.
- W3147805225 cites W2989028888 @default.
- W3147805225 cites W2990166962 @default.
- W3147805225 cites W2995814086 @default.
- W3147805225 cites W2996325193 @default.
- W3147805225 cites W3005684973 @default.
- W3147805225 cites W3007838661 @default.
- W3147805225 cites W3025796335 @default.
- W3147805225 cites W3027294732 @default.
- W3147805225 cites W3034889659 @default.
- W3147805225 cites W3039945952 @default.
- W3147805225 cites W3109218157 @default.
- W3147805225 cites W3121100853 @default.
- W3147805225 cites W589200591 @default.
- W3147805225 doi "https://doi.org/10.3390/s21072488" @default.
- W3147805225 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8038338" @default.
- W3147805225 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33916649" @default.
- W3147805225 hasPublicationYear "2021" @default.
- W3147805225 type Work @default.
- W3147805225 sameAs 3147805225 @default.
- W3147805225 citedByCount "2" @default.
- W3147805225 countsByYear W31478052252022 @default.
- W3147805225 countsByYear W31478052252023 @default.
- W3147805225 crossrefType "journal-article" @default.
- W3147805225 hasAuthorship W3147805225A5016018763 @default.
- W3147805225 hasAuthorship W3147805225A5037657091 @default.
- W3147805225 hasBestOaLocation W31478052251 @default.
- W3147805225 hasConcept C11413529 @default.
- W3147805225 hasConcept C134306372 @default.
- W3147805225 hasConcept C154945302 @default.
- W3147805225 hasConcept C174576160 @default.
- W3147805225 hasConcept C2776135515 @default.
- W3147805225 hasConcept C30044814 @default.
- W3147805225 hasConcept C33923547 @default.
- W3147805225 hasConcept C41008148 @default.
- W3147805225 hasConcept C45347329 @default.
- W3147805225 hasConcept C47432892 @default.
- W3147805225 hasConcept C50644808 @default.
- W3147805225 hasConcept C554190296 @default.
- W3147805225 hasConcept C68827188 @default.
- W3147805225 hasConcept C76155785 @default.
- W3147805225 hasConceptScore W3147805225C11413529 @default.
- W3147805225 hasConceptScore W3147805225C134306372 @default.
- W3147805225 hasConceptScore W3147805225C154945302 @default.
- W3147805225 hasConceptScore W3147805225C174576160 @default.
- W3147805225 hasConceptScore W3147805225C2776135515 @default.
- W3147805225 hasConceptScore W3147805225C30044814 @default.
- W3147805225 hasConceptScore W3147805225C33923547 @default.
- W3147805225 hasConceptScore W3147805225C41008148 @default.
- W3147805225 hasConceptScore W3147805225C45347329 @default.
- W3147805225 hasConceptScore W3147805225C47432892 @default.
- W3147805225 hasConceptScore W3147805225C50644808 @default.
- W3147805225 hasConceptScore W3147805225C554190296 @default.
- W3147805225 hasConceptScore W3147805225C68827188 @default.
- W3147805225 hasConceptScore W3147805225C76155785 @default.
- W3147805225 hasIssue "7" @default.
- W3147805225 hasLocation W31478052251 @default.
- W3147805225 hasLocation W31478052252 @default.