{"id":"https://openalex.org/W2010411218","doi":"https://doi.org/10.1109/rfid-ta.2014.6934195","title":"RFID tag acquisition via compressed sensing","display_name":"RFID tag acquisition via compressed sensing","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2010411218","doi":"https://doi.org/10.1109/rfid-ta.2014.6934195","mag":"2010411218"},"language":"en","primary_location":{"id":"doi:10.1109/rfid-ta.2014.6934195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid-ta.2014.6934195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE RFID Technology and Applications Conference (RFID-TA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003131633","display_name":"Martin Mayer","orcid":"https://orcid.org/0000-0002-2143-9202"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Mayer","raw_affiliation_strings":["Institute of Telecommunications, Vienna University of Technology, Vienna, Austria","Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, Vienna University of Technology, Vienna, Austria","institution_ids":[]},{"raw_affiliation_string":"Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040486450","display_name":"N. G\u00f6rtz","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I4210105054","display_name":"Christian Doppler Laboratory for Thermoelectricity","ror":"https://ror.org/01cbw5x35","country_code":"AT","type":"facility","lineage":["https://openalex.org/I129774422","https://openalex.org/I145847075","https://openalex.org/I4210105054"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Norbert Gortz","raw_affiliation_strings":["Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility","Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility","institution_ids":["https://openalex.org/I4210105054"]},{"raw_affiliation_string":"Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081410427","display_name":"Jelena Kaitovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Jelena Kaitovic","raw_affiliation_strings":["Institute of Telecommunications, Vienna University of Technology, Vienna, Austria","Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, Vienna University of Technology, Vienna, Austria","institution_ids":[]},{"raw_affiliation_string":"Institute of Telecommunications, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10986","display_name":"RFID technology advancements","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994000196456909,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aloha","display_name":"Aloha","score":0.8921554088592529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8443406820297241},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7250634431838989},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6582023501396179},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6518363356590271},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6289435029029846},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5995336771011353},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5954647660255432},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5834367871284485},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5820642113685608},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.543299674987793},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4439226984977722},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.4172937572002411},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3924466669559479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3832862079143524},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3576529920101166},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20292851328849792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16788920760154724},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11321783065795898},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0761491060256958},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07499510049819946}],"concepts":[{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.8921554088592529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8443406820297241},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7250634431838989},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6582023501396179},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6518363356590271},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6289435029029846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5995336771011353},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5954647660255432},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5834367871284485},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5820642113685608},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.543299674987793},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4439226984977722},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.4172937572002411},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3924466669559479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3832862079143524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3576529920101166},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20292851328849792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16788920760154724},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11321783065795898},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0761491060256958},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07499510049819946},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid-ta.2014.6934195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid-ta.2014.6934195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE RFID Technology and Applications Conference (RFID-TA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1924369060","https://openalex.org/W1976438585","https://openalex.org/W2009008240","https://openalex.org/W2030449718","https://openalex.org/W2050874197","https://openalex.org/W2082029531","https://openalex.org/W2084946427","https://openalex.org/W2104309106","https://openalex.org/W2105144556","https://openalex.org/W2110578927","https://openalex.org/W2119275775","https://openalex.org/W2121912566","https://openalex.org/W2135046866","https://openalex.org/W2152226997","https://openalex.org/W2158342661","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W3004350858","https://openalex.org/W3153827791","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W3096989448","https://openalex.org/W3107843154","https://openalex.org/W4366501345","https://openalex.org/W2105128603","https://openalex.org/W2373838515","https://openalex.org/W1996652759","https://openalex.org/W3090994729","https://openalex.org/W1717060041","https://openalex.org/W2003642651","https://openalex.org/W2365135670"],"abstract_inverted_index":{"We":[0,112],"focus":[1],"on":[2],"simultaneously":[3],"identifying":[4,103],"a":[5,15,29,36,65,98,107,114,145],"small":[6,55,108],"subset":[7],"of":[8,14,28,47,61,83,102,110,138,147,154],"radio":[9],"frequency":[10],"identification":[11,73,117,174],"tags":[12,104],"out":[13],"large":[16,171],"known":[17,165],"total":[18,59],"set.":[19],"This,":[20],"for":[21,141],"instance,":[22],"applies":[23],"to":[24,57,70,76,134,162],"the":[25,33,45,50,58,72,80,84,121,136,152,155,163],"popular":[26],"use-case":[27],"supermarket":[30],"checkout":[31],"where":[32],"items":[34,48,63],"in":[35,49,64,89,173],"shopping":[37],"cart":[38,51],"need":[39],"quick":[40],"and":[41,86,151,160],"reliable":[42],"identification.":[43],"Since":[44],"number":[46,109,137],"is":[52,132,149,158,176],"usually":[53],"very":[54,99],"compared":[56,161],"amount":[60],"inventoried":[62],"store,":[66],"it":[67],"appears":[68],"natural":[69],"formulate":[71],"problem":[74,85],"according":[75],"compressed":[77],"sensing,":[78],"exploiting":[79],"inherent":[81],"sparsity":[82],"allowing":[87],"collisions":[88],"tag":[90,116],"responses":[91],"rather":[92],"than":[93],"avoiding":[94],"them.":[95],"This":[96],"yields":[97],"efficient":[100],"way":[101],"with":[105],"only":[106],"measurements.":[111],"introduce":[113],"novel":[115],"scheme":[118,157],"that":[119],"utilizes":[120],"computationally":[122],"cheap":[123],"Approximate":[124],"Message":[125],"Passing":[126],"(AMP)":[127],"algorithm.":[128],"A":[129,170],"simulation-based":[130],"heuristic":[131],"introduced":[133],"minimize":[135],"required":[139],"measurements":[140],"AMP":[142],"recovery.":[143],"Furthermore,":[144],"method":[146],"implementation":[148],"sketched,":[150],"performance":[153],"proposed":[156],"investigated":[159],"well":[164],"frame":[166],"slotted":[167],"aloha":[168],"protocol.":[169],"gain":[172],"throughput":[175],"achieved.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
