{"id":"https://openalex.org/W2989922167","doi":"https://doi.org/10.1109/tim.2019.2954759","title":"A Method Exploiting Compressive Sampling for Localization of Radio Frequency Emitters","display_name":"A Method Exploiting Compressive Sampling for Localization of Radio Frequency Emitters","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W2989922167","doi":"https://doi.org/10.1109/tim.2019.2954759","mag":"2989922167"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2019.2954759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2019.2954759","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029530605","display_name":"Eulalia Balestrieri","orcid":"https://orcid.org/0000-0002-9155-5989"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eulalia Balestrieri","raw_affiliation_strings":["Department of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9155-5989","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074293414","display_name":"Luca De Vito","orcid":"https://orcid.org/0000-0003-1896-2614"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca De Vito","raw_affiliation_strings":["Department of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1896-2614","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087692673","display_name":"Francesco Picariello","orcid":"https://orcid.org/0000-0001-6854-3026"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Picariello","raw_affiliation_strings":["Department of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6854-3026","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087673689","display_name":"Ioan Tudosa","orcid":"https://orcid.org/0000-0002-5127-578X"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ioan Tudosa","raw_affiliation_strings":["Department of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5127-578X","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16337185"],"apc_list":null,"apc_paid":null,"fwci":0.9343,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73456389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"69","issue":"5","first_page":"2325","last_page":"2334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.668681263923645},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6565399765968323},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.5909350514411926},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5692461729049683},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5323156714439392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5312799215316772},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.522038459777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5211503505706787},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.49131813645362854},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.4496940076351166},{"id":"https://openalex.org/keywords/figure-of-merit","display_name":"Figure of merit","score":0.4401451647281647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2742617726325989},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21739673614501953},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20424142479896545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11361977458000183},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10218635201454163}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.668681263923645},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6565399765968323},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.5909350514411926},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5692461729049683},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5323156714439392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5312799215316772},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.522038459777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5211503505706787},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.49131813645362854},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.4496940076351166},{"id":"https://openalex.org/C130277099","wikidata":"https://www.wikidata.org/wiki/Q3676605","display_name":"Figure of merit","level":2,"score":0.4401451647281647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2742617726325989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21739673614501953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20424142479896545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11361977458000183},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10218635201454163},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2019.2954759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2019.2954759","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1581554073","https://openalex.org/W1983895955","https://openalex.org/W2000008982","https://openalex.org/W2012589467","https://openalex.org/W2024991751","https://openalex.org/W2043625269","https://openalex.org/W2067732878","https://openalex.org/W2072191144","https://openalex.org/W2085438205","https://openalex.org/W2121981033","https://openalex.org/W2123629701","https://openalex.org/W2189502145","https://openalex.org/W2223709780","https://openalex.org/W2590642317","https://openalex.org/W2792690385","https://openalex.org/W2850713931","https://openalex.org/W2884792986","https://openalex.org/W2890976618","https://openalex.org/W2899871452","https://openalex.org/W2910605105","https://openalex.org/W2963904864","https://openalex.org/W2964011032","https://openalex.org/W2964294197","https://openalex.org/W2968844918","https://openalex.org/W2972593323","https://openalex.org/W3039386519","https://openalex.org/W4285719527","https://openalex.org/W6634697270","https://openalex.org/W6687105107","https://openalex.org/W6765600139"],"related_works":["https://openalex.org/W4200358983","https://openalex.org/W2035084648","https://openalex.org/W2390693987","https://openalex.org/W2497512603","https://openalex.org/W1483997978","https://openalex.org/W3001645640","https://openalex.org/W2054503501","https://openalex.org/W2611619770","https://openalex.org/W2541626582","https://openalex.org/W2393783098"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,49,135],"novel":[4],"method":[5,23,107],"for":[6,63,82,155,164],"radio":[7],"frequency":[8],"(RF)":[9],"emitter":[10],"localization":[11],"by":[12,74,87,118],"using":[13,48,88],"wideband":[14],"spectrum":[15,160],"sensors":[16],"(WSSs)":[17],"exploiting":[18],"compressive":[19],"sampling":[20,51],"(CS).":[21],"The":[22,70,92,110],"assumes":[24],"that":[25,153],"R":[26],"receivers":[27],"with":[28,115],"known":[29],"Cartesian":[30],"coordinates":[31],"in":[32,37,167],"the":[33,38,41,60,64,83,105,120,126,131,137,142,159,168],"plane":[34],"are":[35,43,98,113],"deployed":[36],"area,":[39],"where":[40],"transmitters":[42],"expected":[44],"to":[45,58,130],"be.":[46],"By":[47],"nonuniform":[50],"(NUS)":[52],"scheme,":[53],"each":[54],"WSS":[55],"allows":[56],"one":[57],"relax":[59],"throughput":[61],"requirements":[62],"data":[65],"acquisition":[66],"and":[67,100,148],"transmission":[68],"tasks.":[69],"mathematical":[71],"description":[72],"followed":[73],"numerical":[75],"analysis":[76],"is":[77,108,162],"presented.":[78],"Then,":[79],"hardware":[80],"implementation":[81],"receiver":[84],"was":[85,146,150],"realized,":[86],"commercial":[89],"off-the-shelf":[90],"components.":[91],"obtained":[93,117,152],"results":[94,112],"from":[95],"simulation":[96],"tests":[97],"reported,":[99],"an":[101],"experimental":[102,111],"assessment":[103],"of":[104,141],"proposed":[106,143],"provided.":[109],"compared":[114],"those":[116],"applying":[119],"maximum":[121],"likelihood":[122],"(ML)":[123],"algorithm":[124],"on":[125],"samples":[127],"acquired":[128],"according":[129],"Nyquist":[132],"criteria.":[133],"As":[134],"figure-of-merit,":[136],"compression":[138],"ratio":[139],"(CR)":[140],"NUS":[144],"scheme":[145],"evaluated":[147],"it":[149],"experimentally":[151],"even":[154],"CR":[156],"=":[157],"64":[158],"reconstruction":[161],"acceptable":[163],"being":[165],"used":[166],"ML":[169],"algorithm.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
