{"id":"https://openalex.org/W2787874291","doi":"https://doi.org/10.1109/vtcfall.2017.8288041","title":"Theory and Design of a Direct Space-to-Information Converter for Rapid Detection of Interferer DoA","display_name":"Theory and Design of a Direct Space-to-Information Converter for Rapid Detection of Interferer DoA","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2787874291","doi":"https://doi.org/10.1109/vtcfall.2017.8288041","mag":"2787874291"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8288041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-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/A5062269476","display_name":"Matthew Bajor","orcid":"https://orcid.org/0000-0002-3259-6051"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew Bajor","raw_affiliation_strings":["Dept. of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077603869","display_name":"Tanbir Haque","orcid":"https://orcid.org/0000-0002-5699-7802"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanbir Haque","raw_affiliation_strings":["Dept. of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019610791","display_name":"John Wright","orcid":"https://orcid.org/0000-0003-2683-4428"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wright","raw_affiliation_strings":["Dept. of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049341354","display_name":"Peter R. Kinget","orcid":"https://orcid.org/0000-0002-5707-6394"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter R. Kinget","raw_affiliation_strings":["Dept. of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062269476"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.43,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67323152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reconfigurability","display_name":"Reconfigurability","score":0.8605610132217407},{"id":"https://openalex.org/keywords/wavefront","display_name":"Wavefront","score":0.7571843862533569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6960410475730896},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6874054670333862},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6600260138511658},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6052999496459961},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5750218033790588},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5541102290153503},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.49425816535949707},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4875935912132263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44745510816574097},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43426400423049927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.184099018573761},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17859101295471191},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1349373459815979},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12765640020370483},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12564048171043396},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11729356646537781},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09025511145591736}],"concepts":[{"id":"https://openalex.org/C2780149590","wikidata":"https://www.wikidata.org/wiki/Q7302742","display_name":"Reconfigurability","level":2,"score":0.8605610132217407},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.7571843862533569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960410475730896},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6874054670333862},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6600260138511658},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6052999496459961},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5750218033790588},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5541102290153503},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.49425816535949707},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4875935912132263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44745510816574097},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43426400423049927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.184099018573761},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17859101295471191},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1349373459815979},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12765640020370483},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12564048171043396},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11729356646537781},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09025511145591736},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8288041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1991533283","https://openalex.org/W2019481724","https://openalex.org/W2108689621","https://openalex.org/W2127271355","https://openalex.org/W2162654459","https://openalex.org/W2296616510","https://openalex.org/W2952350176","https://openalex.org/W4250955649","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W2035084648","https://openalex.org/W2390693987","https://openalex.org/W3001645640","https://openalex.org/W2054503501","https://openalex.org/W3142184949","https://openalex.org/W1524593559","https://openalex.org/W2781805183","https://openalex.org/W3029251452","https://openalex.org/W4297666103","https://openalex.org/W2071548530"],"abstract_inverted_index":{"A":[0],"reconfigurable":[1],"and":[2,15,31,53,73,147],"scalable":[3],"architecture":[4],"called":[5],"the":[6,25,38,45,62,87,96,110,116,123,142,152],"Direct":[7],"Space-to-Information":[8],"Converter":[9],"(DSIC)":[10],"is":[11,34,98,112,156],"presented":[12],"for":[13,118],"rapid":[14],"energy-efficient":[16],"direction-of-arrival":[17],"(DoA)":[18],"finding.":[19],"In":[20,60],"conventional":[21],"delay-and-sum":[22],"beamformers":[23],"(CBF),":[24],"tradeoff":[26],"between":[27],"scan":[28,51],"time,":[29],"resolution":[30],"energy":[32,55,107],"consumption":[33,108],"fixed":[35],"due":[36],"to":[37,70,131,135],"Nyquist":[39],"sampling":[40],"theorem.":[41],"To":[42],"accurately":[43],"detect":[44],"DoA":[46,94,124,140],"of":[47,86,95,109,125,154],"an":[48,67],"interferer,":[49],"many":[50],"angles":[52],"complex":[54],"intensive":[56],"calculations":[57],"are":[58],"needed.":[59],"contrast,":[61],"proposed":[63,138],"DSIC":[64,111,143],"directly":[65],"converts":[66],"incoming":[68],"wavefront":[69,97],"spatial":[71,88],"information":[72],"generates":[74],"only":[75,126],"a":[76,119],"few":[77],"compressed":[78],"sensing":[79],"(CS)":[80],"measurements":[81],"by":[82],"forming":[83],"random":[84],"projections":[85],"signal":[89],"consecutively":[90],"in":[91],"time.":[92],"The":[93,106],"then":[99],"rapidly":[100],"found":[101],"from":[102],"these":[103],"CS":[104,139],"measurements.":[105],"16x":[113],"lower":[114],"than":[115],"CBF":[117],"realistic":[120],"scenario":[121],"where":[122],"one":[127],"large":[128],"interferer":[129],"needs":[130],"be":[132],"found.":[133],"Compared":[134],"other":[136],"recently":[137],"finders,":[141],"delivers":[144],"significant":[145],"reconfigurability":[146],"scalability":[148],"advantages":[149],"especially":[150],"when":[151],"number":[153],"interferers":[155],"unknown.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}