{"id":"https://openalex.org/W2770429148","doi":"https://doi.org/10.1109/globalsip.2017.8308611","title":"Multiband TDOA estimation from sub-Nyquist samples with distributed wideband sensing nodes","display_name":"Multiband TDOA estimation from sub-Nyquist samples with distributed wideband sensing nodes","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2770429148","doi":"https://doi.org/10.1109/globalsip.2017.8308611","mag":"2770429148"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8308611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8308611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5005416613","display_name":"Anastasia Lavrenko","orcid":"https://orcid.org/0000-0002-3944-5379"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anastasia Lavrenko","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113692116","display_name":"Florian R\u00f6mer","orcid":null},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Romer","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086574243","display_name":"Giovanni Del Galdo","orcid":"https://orcid.org/0000-0002-7195-4253"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giovanni Del Galdo","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059969592","display_name":"Reiner S. Thom\u00e4","orcid":"https://orcid.org/0000-0002-9254-814X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reiner Thoma","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Helmholzplatz 2, 98693 Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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"}},"topics":[{"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/T11233","display_name":"Advanced Adaptive Filtering 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":0.9987000226974487,"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/wideband","display_name":"Wideband","score":0.7803317904472351},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7273326516151428},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.6905125975608826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508745551109314},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5380427837371826},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.498309850692749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44307488203048706},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.44245627522468567},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.30328568816185},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.28513863682746887},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27488693594932556},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.2605055570602417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25780707597732544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2549581527709961},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08965563774108887}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7803317904472351},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7273326516151428},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.6905125975608826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508745551109314},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5380427837371826},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.498309850692749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44307488203048706},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.44245627522468567},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.30328568816185},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.28513863682746887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27488693594932556},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2605055570602417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25780707597732544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2549581527709961},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08965563774108887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/globalsip.2017.8308611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8308611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-520461","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-520461.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/403239","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/403239","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309895","display_name":"Carl-Zeiss-Stiftung","ror":"https://ror.org/03ng4kg22"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1965224799","https://openalex.org/W1974774078","https://openalex.org/W1977142530","https://openalex.org/W1980300788","https://openalex.org/W1983091492","https://openalex.org/W1984575907","https://openalex.org/W1988322480","https://openalex.org/W2003688737","https://openalex.org/W2037673368","https://openalex.org/W2040367593","https://openalex.org/W2071707134","https://openalex.org/W2097860968","https://openalex.org/W2098635592","https://openalex.org/W2114129195","https://openalex.org/W2123293489","https://openalex.org/W2123629701","https://openalex.org/W2128083638","https://openalex.org/W2147859916","https://openalex.org/W2149406951","https://openalex.org/W2158999646","https://openalex.org/W2168156431","https://openalex.org/W2499720122","https://openalex.org/W2763776724"],"related_works":["https://openalex.org/W2368043784","https://openalex.org/W1500996803","https://openalex.org/W2058893726","https://openalex.org/W2801332561","https://openalex.org/W1488455774","https://openalex.org/W1570358496","https://openalex.org/W2124861257","https://openalex.org/W3015557210","https://openalex.org/W3128645236","https://openalex.org/W3215214094"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,28,57,94],"estimate":[4],"relative":[5,64,102,127],"autocorrelation":[6,65,129],"functions":[7,66],"of":[8,32,54,67,86,122],"multiple":[9],"unknown":[10],"transmissions":[11,69],"that":[12,36],"occupy":[13],"distinct":[14],"narrowband":[15],"frequency":[16],"bands":[17],"from":[18,131],"their":[19],"sub-Nyquist":[20,41,132],"samples.":[21,133],"To":[22],"be":[23,79],"able":[24],"to":[25,47,81],"do":[26],"so,":[27],"employ":[29],"a":[30,40,48,107],"network":[31],"distributed":[33],"sensing":[34],"nodes":[35],"are":[37,113],"equipped":[38],"with":[39],"receiver":[42],"system":[43],"and":[44,62,100],"have":[45],"access":[46],"common":[49],"clock.":[50],"Utilizing":[51],"low-rate":[52],"out-puts":[53],"different":[55],"nodes,":[56],"recover":[58,96],"the":[59,63,71,75,97,101,111,120,123],"central":[60,98],"frequencies":[61,99],"individual":[68],"within":[70],"wideband":[72],"input,":[73],"where":[74,110],"latter":[76],"can":[77],"then":[78],"used":[80],"determine":[82],"corresponding":[83],"time":[84],"differences":[85],"arrival":[87],"(TDoAs).":[88],"We":[89],"propose":[90],"two":[91,112],"recovery":[92],"approaches;":[93],"either":[95],"autocorrelations":[103],"jointly":[104],"or":[105],"adopt":[106],"two-step":[108],"procedure":[109],"estimated":[114],"independently.":[115],"Our":[116],"numerical":[117],"results":[118],"confirm":[119],"applicability":[121],"proposed":[124],"methods":[125],"for":[126],"multiband":[128],"estimation":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
