{"id":"https://openalex.org/W2946525119","doi":"https://doi.org/10.1109/taes.2019.2910363","title":"Scaling Transform Based Information Geometry Method for DOA Estimation","display_name":"Scaling Transform Based Information Geometry Method for DOA Estimation","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2946525119","doi":"https://doi.org/10.1109/taes.2019.2910363","mag":"2946525119"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2019.2910363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2910363","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5036333270","display_name":"Yang\u2010Yang Dong","orcid":"https://orcid.org/0000-0003-1727-1651"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang-Yang Dong","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030374072","display_name":"Chunxi Dong","orcid":"https://orcid.org/0000-0002-4497-6289"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Xi Dong","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062908102","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2968-2888"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["University of Sheffield, Sheffield, U.K"],"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448071","display_name":"Mingming Liu","orcid":"https://orcid.org/0000-0002-2780-5277"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Ming Liu","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047220646","display_name":"Zheng-Zhao Tang","orcid":"https://orcid.org/0000-0001-5644-4987"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Zhao Tang","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036333270"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.1704,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88270741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"55","issue":"6","first_page":"3640","last_page":"3650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9954000115394592,"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/algorithm","display_name":"Algorithm","score":0.6341336369514465},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5399506092071533},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5192282795906067},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.5018019676208496},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4592970907688141},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.4558093249797821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4540487229824066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4531134366989136},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4283865988254547},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.42760491371154785},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3731081783771515},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2134622037410736},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2011755406856537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1463419795036316},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11512771248817444}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6341336369514465},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5399506092071533},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5192282795906067},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.5018019676208496},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4592970907688141},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4558093249797821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4540487229824066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4531134366989136},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4283865988254547},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.42760491371154785},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3731081783771515},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2134622037410736},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2011755406856537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1463419795036316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11512771248817444},{"id":"https://openalex.org/C12520029","wikidata":"https://www.wikidata.org/wiki/Q1147161","display_name":"Scalar curvature","level":3,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2019.2910363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2910363","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:145919","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G380149046","display_name":null,"funder_award_id":"2017M623123","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3807074451","display_name":null,"funder_award_id":"XJS18033","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1640559755","https://openalex.org/W1983104971","https://openalex.org/W2000030677","https://openalex.org/W2000804746","https://openalex.org/W2018419043","https://openalex.org/W2041050174","https://openalex.org/W2075721610","https://openalex.org/W2080115549","https://openalex.org/W2087543940","https://openalex.org/W2091373577","https://openalex.org/W2098174516","https://openalex.org/W2101658087","https://openalex.org/W2104849640","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2131797282","https://openalex.org/W2133064927","https://openalex.org/W2140728947","https://openalex.org/W2141358961","https://openalex.org/W2148723353","https://openalex.org/W2151517138","https://openalex.org/W2156782020","https://openalex.org/W2156985756","https://openalex.org/W2164390589","https://openalex.org/W2165934023","https://openalex.org/W2396020314","https://openalex.org/W2545850961","https://openalex.org/W2618689581","https://openalex.org/W2759286486","https://openalex.org/W2766236067","https://openalex.org/W2770513038"],"related_works":["https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W4382204317","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W2005200408","https://openalex.org/W2100915163","https://openalex.org/W2113817303","https://openalex.org/W2396020314","https://openalex.org/W4386780759"],"abstract_inverted_index":{"By":[0],"exploiting":[1],"the":[2,8,18,66,73,76,80,100,107,123,136,139,143,150,177,182,199,205,211],"relationship":[3,74],"between":[4,75],"probability":[5],"density":[6],"and":[7,15,29,79,86,91,102,147,154,160,184,196],"differential":[9],"geometry":[10,22],"structure":[11],"of":[12,34,58,65,82,88,99,106,142,207],"received":[13,125],"data":[14,126],"geodesic":[16],"distance,":[17],"recently":[19],"proposed":[20,178],"information":[21],"(IG)":[23],"method":[24,68,117,180],"can":[25],"provide":[26],"higher":[27],"accuracy":[28],"resolution":[30,104,187,194],"ability":[31],"for":[32,49,138],"direction":[33],"arrival":[35],"(DOA)":[36],"estimation":[37,212],"than":[38],"many":[39,191],"existing":[40,192],"methods.":[41],"However,":[42,135],"its":[43,59,128],"performance":[44,188],"is":[45,69,118,145],"not":[46],"robust":[47,170,185],"even":[48,197],"high":[50,193],"signal-to-noise":[51],"ratio.":[52],"To":[53],"have":[54],"a":[55,62,110,132,157,161,169,208],"deep":[56],"understanding":[57],"unstable":[60],"performance,":[61],"theoretical":[63],"analysis":[64],"IG":[67],"presented":[70],"by":[71,131,174],"deriving":[72],"cost":[77,108,206],"function":[78],"number":[81],"array":[83,124],"elements,":[84],"powers":[85],"DOAs":[87,153],"source":[89],"signals,":[90],"noise":[92],"power.":[93],"Then,":[94],"to":[95,149],"make":[96],"better":[97],"use":[98],"nonlinear":[101],"super":[103],"property":[105],"function,":[109],"Scaling":[111],"TRansform":[112],"based":[113,164],"INformation":[114],"Geometry":[115],"(STRING)":[116],"proposed,":[119],"which":[120],"simply":[121],"scales":[122],"or":[127],"covariance":[129],"matrix":[130],"real":[133],"number.":[134],"expression":[137],"optimum":[140],"value":[141],"scalar":[144],"complicated":[146],"related":[148],"unknown":[151],"signal":[152],"powers.":[155],"Hence,":[156],"decision":[158],"criterion":[159],"simple":[162],"search":[163],"procedure":[165],"are":[166],"developed,":[167],"guaranteeing":[168],"performance.":[171],"As":[172],"demonstrated":[173],"computer":[175],"simulations,":[176],"STRING":[179],"has":[181],"best":[183],"angle":[186],"compared":[189],"with":[190],"methods":[195],"outperforms":[198],"classic":[200],"Cramer-Rao":[201],"bound,":[202],"although":[203],"at":[204],"bias":[209],"in":[210],"results.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
