{"id":"https://openalex.org/W4301397098","doi":"https://doi.org/10.1186/s13634-022-00927-7","title":"A joint DOA and polarization estimation method based on the conformal polarization sensitive array from the sparse reconstruction perspective","display_name":"A joint DOA and polarization estimation method based on the conformal polarization sensitive array from the sparse reconstruction perspective","publication_year":2022,"publication_date":"2022-10-04","ids":{"openalex":"https://openalex.org/W4301397098","doi":"https://doi.org/10.1186/s13634-022-00927-7"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-022-00927-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00927-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00927-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00927-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103085052","display_name":"Xiaoyu Lan","orcid":"https://orcid.org/0000-0001-9437-0106"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Lan","raw_affiliation_strings":["School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022667956","display_name":"Lai Jiang","orcid":"https://orcid.org/0000-0001-5952-1642"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai Jiang","raw_affiliation_strings":["School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5952-1642","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066681153","display_name":"Peng Xu","orcid":"https://orcid.org/0000-0001-8947-9465"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Xu","raw_affiliation_strings":["School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103085052"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.2976,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51543467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9986000061035156,"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/matching-pursuit","display_name":"Matching pursuit","score":0.5810372829437256},{"id":"https://openalex.org/keywords/polarization","display_name":"Polarization (electrochemistry)","score":0.566735029220581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563002228736877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.513615071773529},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5024943351745605},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.49979209899902344},{"id":"https://openalex.org/keywords/conformal-map","display_name":"Conformal map","score":0.4526890516281128},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.42796629667282104},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.3825664520263672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31978797912597656},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18818876147270203},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.08635848760604858}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5810372829437256},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.566735029220581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563002228736877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.513615071773529},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5024943351745605},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.49979209899902344},{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.4526890516281128},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.42796629667282104},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3825664520263672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31978797912597656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18818876147270203},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.08635848760604858},{"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-022-00927-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00927-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00927-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:69869ed29a824577a9971e83e2af8974","is_oa":true,"landing_page_url":"https://doaj.org/article/69869ed29a824577a9971e83e2af8974","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-18 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-022-00927-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00927-7","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00927-7","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1347048943","display_name":null,"funder_award_id":"XLYC1907195","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G642394131","display_name":null,"funder_award_id":"2020Z017054001","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G7907285295","display_name":null,"funder_award_id":"61801308","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4301397098.pdf","grobid_xml":"https://content.openalex.org/works/W4301397098.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W962378727","https://openalex.org/W1516111018","https://openalex.org/W1526635328","https://openalex.org/W1972147158","https://openalex.org/W2000721204","https://openalex.org/W2028823365","https://openalex.org/W2130342534","https://openalex.org/W2136634080","https://openalex.org/W2162654459","https://openalex.org/W2164129707","https://openalex.org/W2191529016","https://openalex.org/W2789390797","https://openalex.org/W2797475427","https://openalex.org/W2900542079","https://openalex.org/W2923172028","https://openalex.org/W2962965396","https://openalex.org/W2968190492","https://openalex.org/W3007502535","https://openalex.org/W3010526883","https://openalex.org/W3047457796","https://openalex.org/W3092104056","https://openalex.org/W3104505026","https://openalex.org/W3130656977","https://openalex.org/W3134860285","https://openalex.org/W3165892551","https://openalex.org/W3179467724","https://openalex.org/W3194646605","https://openalex.org/W3200805527","https://openalex.org/W3210552146","https://openalex.org/W4200085905","https://openalex.org/W4221043704","https://openalex.org/W4285409128","https://openalex.org/W6600651459"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W4319793311","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W2012574959","https://openalex.org/W2262109992","https://openalex.org/W2241396314"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"conformal":[2,16],"polarization":[3,33,89,160],"sensitive":[4],"array":[5,17,101,136],"(CPSA)":[6],"is":[7,94,108,120],"formed":[8],"by":[9,164],"placing":[10],"some":[11],"vector":[12],"sensors":[13],"on":[14,54,92],"the":[15,39,45,48,55,62,100,106,112,117,126,133,139,153,159,165,173],"and":[18,32,69,81,88,111,144,181,186],"it":[19],"has":[20],"a":[21,78],"wide":[22],"range":[23],"of":[24,29,41,47,105,116,135],"practical":[25],"application":[26],"in":[27,96],"direction":[28],"arrival":[30],"(DOA)":[31],"parameters":[34,50,161],"estimation.":[35],"However,":[36],"due":[37],"to":[38,65,74,131,151],"diversity":[40],"each":[42],"sensor\u2019s":[43],"direction,":[44],"performance":[46],"conventional":[49],"estimation":[51,90,179],"methods":[52,148],"based":[53,91],"CPSA":[56,93,107],"would":[57],"decrease":[58],"greatly,":[59],"especially":[60],"under":[61],"low":[63,184],"signal":[64,103],"noise":[66],"ratio":[67],"(SNR)":[68],"limited":[70,187],"snapshots.":[71,188],"In":[72],"order":[73],"solve":[75,152],"this":[76,97],"problem,":[77],"unified":[79],"framework":[80],"sparse":[82,141],"reconstruction":[83],"perspective":[84],"for":[85],"joint":[86],"DOA":[87,155],"proposed":[95],"paper.":[98],"Specifically,":[99],"received":[102],"model":[104],"formulated":[109],"first":[110],"two-dimensional":[113],"spatial":[114],"sparsity":[115],"incident":[118],"signals":[119],"then":[121],"exploited.":[122],"Subsequently,":[123],"after":[124],"employing":[125],"singular":[127],"value":[128],"decomposition":[129],"method":[130],"reduce":[132],"dimension":[134],"output":[137],"matrix,":[138],"variational":[140],"Bayesian":[142],"learning":[143],"orthogonal":[145],"matching":[146],"pursuit":[147],"are":[149,162],"utilized":[150],"source":[154],"estimation,":[156],"respectively.":[157],"Finally,":[158],"obtained":[163],"minimum":[166],"eigenvector":[167],"method.":[168],"Simulation":[169],"results":[170],"demonstrate":[171],"that":[172],"novel":[174],"approaches":[175],"can":[176],"provide":[177],"improved":[178],"accuracy":[180],"resolution":[182],"with":[183],"SNR":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}