Matches in SemOpenAlex for { <https://semopenalex.org/work/W2316642606> ?p ?o ?g. }
- W2316642606 endingPage "1317" @default.
- W2316642606 startingPage "1302" @default.
- W2316642606 abstract "This paper establishes the role of sparse arrays and sparse sampling in antijam global navigation satellite systems (GNSS). We show that both jammer direction of arrival estimation methods and mitigation techniques benefit from the design flexibility of sparse arrays and their extended virtual apertures or coarrays. Taking advantage of information redundancy, significant reduction in hardware and computational cost materializes when selecting a subset of array antennas without sacrificing jammer nulling or localization capabilities. In addition to the spatial array sparsity, antijam can utilize sparsity of jammers in the spatio-temporal frequency domains. By virtue of their finite number, jammers in the field of view are sparse in the azimuth and elevation directions. For the class of frequency modulated jammers, sparsity is also exhibited in the joint time-frequency signal representation. These spatial and signal characteristics have called for the development of sparsity-aware antijam techniques for the accurate estimation of jammer space-time-frequency signature, enabling its effective sensing and excision. Both theory and simulation examples demonstrate the utility of coarrays, sparse reconstructions, and antenna selection techniques for antijam GNSS." @default.
- W2316642606 created "2016-06-24" @default.
- W2316642606 creator A5003057050 @default.
- W2316642606 creator A5005018826 @default.
- W2316642606 creator A5007661434 @default.
- W2316642606 creator A5074195801 @default.
- W2316642606 creator A5083732517 @default.
- W2316642606 date "2016-06-01" @default.
- W2316642606 modified "2023-10-17" @default.
- W2316642606 title "Sparse Arrays and Sampling for Interference Mitigation and DOA Estimation in GNSS" @default.
- W2316642606 cites W1551869615 @default.
- W2316642606 cites W1566464285 @default.
- W2316642606 cites W1745309255 @default.
- W2316642606 cites W1967956032 @default.
- W2316642606 cites W1977579146 @default.
- W2316642606 cites W1978318660 @default.
- W2316642606 cites W1985041550 @default.
- W2316642606 cites W2007230243 @default.
- W2316642606 cites W2021036786 @default.
- W2316642606 cites W2028693111 @default.
- W2316642606 cites W2038373830 @default.
- W2316642606 cites W2043206083 @default.
- W2316642606 cites W2049007693 @default.
- W2316642606 cites W2075109639 @default.
- W2316642606 cites W2077034397 @default.
- W2316642606 cites W2079961989 @default.
- W2316642606 cites W2082038839 @default.
- W2316642606 cites W2085910483 @default.
- W2316642606 cites W2091248662 @default.
- W2316642606 cites W2095833639 @default.
- W2316642606 cites W2098174516 @default.
- W2316642606 cites W2098884215 @default.
- W2316642606 cites W2102822628 @default.
- W2316642606 cites W2103077926 @default.
- W2316642606 cites W2103519107 @default.
- W2316642606 cites W2124547768 @default.
- W2316642606 cites W2124759694 @default.
- W2316642606 cites W2126133656 @default.
- W2316642606 cites W2127271355 @default.
- W2316642606 cites W2130684118 @default.
- W2316642606 cites W2132085292 @default.
- W2316642606 cites W2143311694 @default.
- W2316642606 cites W2143651281 @default.
- W2316642606 cites W2145118533 @default.
- W2316642606 cites W2146635429 @default.
- W2316642606 cites W2151422646 @default.
- W2316642606 cites W2154475416 @default.
- W2316642606 cites W2154927675 @default.
- W2316642606 cites W2158456262 @default.
- W2316642606 cites W2161666352 @default.
- W2316642606 cites W3022380717 @default.
- W2316642606 cites W4250589301 @default.
- W2316642606 cites W4256223599 @default.
- W2316642606 doi "https://doi.org/10.1109/jproc.2016.2531582" @default.
- W2316642606 hasPublicationYear "2016" @default.
- W2316642606 type Work @default.
- W2316642606 sameAs 2316642606 @default.
- W2316642606 citedByCount "98" @default.
- W2316642606 countsByYear W23166426062016 @default.
- W2316642606 countsByYear W23166426062017 @default.
- W2316642606 countsByYear W23166426062018 @default.
- W2316642606 countsByYear W23166426062019 @default.
- W2316642606 countsByYear W23166426062020 @default.
- W2316642606 countsByYear W23166426062021 @default.
- W2316642606 countsByYear W23166426062022 @default.
- W2316642606 countsByYear W23166426062023 @default.
- W2316642606 crossrefType "journal-article" @default.
- W2316642606 hasAuthorship W2316642606A5003057050 @default.
- W2316642606 hasAuthorship W2316642606A5005018826 @default.
- W2316642606 hasAuthorship W2316642606A5007661434 @default.
- W2316642606 hasAuthorship W2316642606A5074195801 @default.
- W2316642606 hasAuthorship W2316642606A5083732517 @default.
- W2316642606 hasConcept C11413529 @default.
- W2316642606 hasConcept C124066611 @default.
- W2316642606 hasConcept C124851039 @default.
- W2316642606 hasConcept C127413603 @default.
- W2316642606 hasConcept C140779682 @default.
- W2316642606 hasConcept C14279187 @default.
- W2316642606 hasConcept C21822782 @default.
- W2316642606 hasConcept C24326235 @default.
- W2316642606 hasConcept C41008148 @default.
- W2316642606 hasConcept C54197355 @default.
- W2316642606 hasConcept C60229501 @default.
- W2316642606 hasConcept C62191587 @default.
- W2316642606 hasConcept C76155785 @default.
- W2316642606 hasConcept C94915269 @default.
- W2316642606 hasConceptScore W2316642606C11413529 @default.
- W2316642606 hasConceptScore W2316642606C124066611 @default.
- W2316642606 hasConceptScore W2316642606C124851039 @default.
- W2316642606 hasConceptScore W2316642606C127413603 @default.
- W2316642606 hasConceptScore W2316642606C140779682 @default.
- W2316642606 hasConceptScore W2316642606C14279187 @default.
- W2316642606 hasConceptScore W2316642606C21822782 @default.
- W2316642606 hasConceptScore W2316642606C24326235 @default.
- W2316642606 hasConceptScore W2316642606C41008148 @default.
- W2316642606 hasConceptScore W2316642606C54197355 @default.
- W2316642606 hasConceptScore W2316642606C60229501 @default.
- W2316642606 hasConceptScore W2316642606C62191587 @default.