{"id":"https://openalex.org/W2732767494","doi":"https://doi.org/10.1109/tsp.2017.2721917","title":"Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging","display_name":"Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging","publication_year":2017,"publication_date":"2017-06-29","ids":{"openalex":"https://openalex.org/W2732767494","doi":"https://doi.org/10.1109/tsp.2017.2721917","mag":"2732767494"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2721917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2721917","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5069668659","display_name":"Sunil Rudresh","orcid":"https://orcid.org/0000-0002-2774-1103"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sunil Rudresh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069668659"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":2.4689,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88338512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"65","issue":"19","first_page":"5021","last_page":"5033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.6453253030776978},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.6299753189086914},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5410382747650146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5354215502738953},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4875625967979431},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4732002913951874},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.46989938616752625},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.46663957834243774},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4634980857372284},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43347296118736267},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.4107692241668701},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2891932725906372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25313717126846313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2137947678565979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16611066460609436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1605442464351654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453253030776978},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.6299753189086914},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5410382747650146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5354215502738953},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4875625967979431},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4732002913951874},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.46989938616752625},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.46663957834243774},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4634980857372284},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43347296118736267},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.4107692241668701},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2891932725906372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25313717126846313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2137947678565979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16611066460609436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1605442464351654},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2017.2721917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2721917","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.iisc.ac.in:57592","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321024","display_name":"Defence Research and Development Organisation","ror":"https://ror.org/05k37v296"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W56812825","https://openalex.org/W250076511","https://openalex.org/W340244495","https://openalex.org/W595851582","https://openalex.org/W1538006934","https://openalex.org/W1571780702","https://openalex.org/W1735999610","https://openalex.org/W1980416853","https://openalex.org/W1993421475","https://openalex.org/W1993784401","https://openalex.org/W2002663556","https://openalex.org/W2043422651","https://openalex.org/W2050617763","https://openalex.org/W2055849441","https://openalex.org/W2091256848","https://openalex.org/W2093599249","https://openalex.org/W2102701524","https://openalex.org/W2103300762","https://openalex.org/W2109851615","https://openalex.org/W2112248775","https://openalex.org/W2113638573","https://openalex.org/W2118682956","https://openalex.org/W2123457453","https://openalex.org/W2125213304","https://openalex.org/W2128131274","https://openalex.org/W2134323971","https://openalex.org/W2138787877","https://openalex.org/W2138824960","https://openalex.org/W2140122025","https://openalex.org/W2147746039","https://openalex.org/W2149213383","https://openalex.org/W2152599017","https://openalex.org/W2158537680","https://openalex.org/W2162100037","https://openalex.org/W2327729044","https://openalex.org/W2547878593","https://openalex.org/W6602320220","https://openalex.org/W6634208931","https://openalex.org/W6673172288"],"related_works":["https://openalex.org/W1978025251","https://openalex.org/W2361241744","https://openalex.org/W2086314607","https://openalex.org/W2235285389","https://openalex.org/W4252012301","https://openalex.org/W2581209175","https://openalex.org/W2532305960","https://openalex.org/W2900664875","https://openalex.org/W2022955050","https://openalex.org/W2944876982"],"abstract_inverted_index":{"We":[0,83,143,193],"address":[1],"the":[2,19,36,40,62,79,93,120,126,132,136,146,159,165,189,196,221],"problem":[3,37],"of":[4,38,51,53,64,131,138,161,183,229],"estimating":[5,39],"target":[6],"locations":[7],"that":[8,145,164,205,220,239],"are":[9,76,150,201,209],"sparse":[10,54],"in":[11,42,61,67,125,135,158,179,202],"a":[12,31,43,85,176,203,226,233],"pulse-Doppler":[13],"radar's":[14],"unambiguous":[15],"region":[16],"by":[17,78],"sampling":[18],"received":[20,26],"signal":[21,27],"at":[22,232],"sub-Nyquist":[23],"rates.":[24],"The":[25,74,129],"is":[28,47,140],"modeled":[29],"as":[30,49],"finite-rate-of-innovation":[32],"(FRI)":[33],"signal,":[34],"and":[35,114,118,174,215,218],"delays":[41,75],"single":[44],"transceiver":[45],"radar":[46],"formulated":[48],"one":[50],"recovery":[52,133],"common-support":[55],"(SCS)":[56],"FRI":[57],"signals,":[58],"which":[59,110],"arises":[60],"context":[63],"channel":[65],"estimation":[66,148],"multiple":[68,70,199],"input,":[69],"output":[71],"communication":[72],"systems.":[73],"estimated":[77,190],"SCS-FRI":[80],"reconstruction":[81],"method.":[82],"present":[84,103],"new":[86],"method":[87,106,168,224],"termed":[88],"delay":[89,113,214],"focusing":[90,116,167,223],"to":[91,122,152,185],"estimate":[92],"Doppler":[94,115,191,216,242],"shifts.":[95,192],"To":[96],"obtain":[97],"overall":[98],"performance":[99,130,156],"gains,":[100],"we":[101],"also":[102,141,194],"an":[104],"extended":[105],"called":[107],"dual":[108,166,222],"focusing,":[109],"combines":[111],"both":[112,213],"schemes,":[117],"has":[119],"capability":[121],"superresolve":[123],"targets":[124,173,200],"delay-Doppler":[127],"plane.":[128],"methods":[134,149],"presence":[137,160],"noise":[139,162],"analyzed.":[142],"demonstrate":[144],"proposed":[147],"robust":[151],"noise.":[153],"Monte":[154],"Carlo":[155],"analysis":[157],"shows":[163],"accurately":[169],"resolves":[170],"closely":[171,210],"spaced":[172,211],"yields":[175],"significant":[177],"decrease":[178],"normalized":[180],"mean-square":[181],"error":[182],"up":[184],"10-20":[186],"dB":[187],"for":[188,241],"simulate":[195],"scenario":[197],"where":[198],"formation,":[204],"is,":[206],"when":[207],"they":[208],"along":[212],"axes,":[217],"show":[219],"achieves":[225],"hit":[227],"rate":[228],"nearly":[230],"100%":[231],"much":[234],"lower":[235],"signal-to-noise":[236],"ratios":[237],"than":[238],"required":[240],"focusing.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}