{"id":"https://openalex.org/W2166234607","doi":"https://doi.org/10.1109/chinasip.2013.6625415","title":"Polarization sensitive PARAFAC beamforming for near-field/far-field signals using co-centered orthogonal loop and dipole pairs","display_name":"Polarization sensitive PARAFAC beamforming for near-field/far-field signals using co-centered orthogonal loop and dipole pairs","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2166234607","doi":"https://doi.org/10.1109/chinasip.2013.6625415","mag":"2166234607"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2013.6625415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","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/A5032681108","display_name":"Yougen Xu","orcid":"https://orcid.org/0000-0003-4751-6736"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yougen Xu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103079235","display_name":"Jingyan Ma","orcid":"https://orcid.org/0000-0003-0150-6276"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Ma","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628019","display_name":"Zhiwen Liu","orcid":"https://orcid.org/0000-0002-0743-4237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Liu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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":0.9973000288009644,"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/smoothing","display_name":"Smoothing","score":0.6512508988380432},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5945045948028564},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5745068788528442},{"id":"https://openalex.org/keywords/polarization","display_name":"Polarization (electrochemistry)","score":0.5383502244949341},{"id":"https://openalex.org/keywords/dipole","display_name":"Dipole","score":0.44916093349456787},{"id":"https://openalex.org/keywords/near-and-far-field","display_name":"Near and far field","score":0.4470130503177643},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4100194573402405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3991083800792694},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.39517998695373535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34233275055885315},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.32090920209884644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3125046491622925},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1379753053188324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09020853042602539}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6512508988380432},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5945045948028564},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5745068788528442},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.5383502244949341},{"id":"https://openalex.org/C173523689","wikidata":"https://www.wikidata.org/wiki/Q215589","display_name":"Dipole","level":2,"score":0.44916093349456787},{"id":"https://openalex.org/C25227671","wikidata":"https://www.wikidata.org/wiki/Q13405516","display_name":"Near and far field","level":2,"score":0.4470130503177643},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4100194573402405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3991083800792694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.39517998695373535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34233275055885315},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.32090920209884644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3125046491622925},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1379753053188324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09020853042602539},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2013.6625415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2013.6625415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE China Summit and International Conference on Signal and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1486855082","https://openalex.org/W2065757462","https://openalex.org/W2079493991","https://openalex.org/W2101641981","https://openalex.org/W2105271339","https://openalex.org/W2163111953","https://openalex.org/W2166288622","https://openalex.org/W2172007507","https://openalex.org/W2475682732","https://openalex.org/W2539672602","https://openalex.org/W3100792434","https://openalex.org/W6729262743"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2963170046","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2360090175","https://openalex.org/W3022667867"],"abstract_inverted_index":{"A":[0,88],"parallel":[1],"factor":[2,99],"analysis":[3],"(PARAFAC)":[4],"based":[5],"beamformer":[6,45,66],"using":[7],"a":[8],"polarization":[9],"sensitive":[10],"array":[11,81],"of":[12,32,49,58,76,117],"co-centered":[13],"orthogonal":[14],"loop":[15],"and":[16,39,63,80],"dipole":[17],"(COLD)":[18],"vector":[19,79],"antennas":[20],"is":[21,42,67,103],"proposed":[22,119],"for":[23,94,106],"near-field":[24],"or":[25],"far-field":[26],"source":[27,52],"signals.":[28],"While":[29],"joint":[30],"suppression":[31],"the":[33,36,44,50,70,73,97,115,118],"interferences":[34],"in":[35,72,100],"direction,":[37,61],"polarization,":[38,62],"range":[40],"domains":[41],"achieved,":[43],"needs":[46],"only":[47],"one":[48],"following":[51],"knowledge":[53],"(maybe":[54],"inaccurate)":[55],"about":[56],"signal":[57],"interest":[59],"(SOI):":[60],"range.":[64],"The":[65],"robust":[68],"to":[69,113],"error":[71,92],"sample":[74],"estimates":[75],"SOI":[77],"steering":[78],"covariance":[82],"matrix":[83],"via":[84],"eigenvalue":[85,101],"smoothing":[86,102],"regularization.":[87],"minimum":[89],"mean":[90],"squared":[91],"criterion":[93],"choosing":[95],"adaptively":[96],"regularization":[98],"also":[104],"presented":[105],"noncircular":[107],"SOI.":[108],"Simulation":[109],"results":[110],"are":[111],"included":[112],"illustrate":[114],"performance":[116],"beamformer.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}