{"id":"https://openalex.org/W3015639724","doi":"https://doi.org/10.1109/icassp40776.2020.9053242","title":"Principal Angle Detector for Subspace Signal with Structured Unknown Interference","display_name":"Principal Angle Detector for Subspace Signal with Structured Unknown Interference","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015639724","doi":"https://doi.org/10.1109/icassp40776.2020.9053242","mag":"3015639724"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5084038307","display_name":"Xingyu Xu","orcid":"https://orcid.org/0000-0002-7056-8748"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyu Xu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083048260","display_name":"Yuchen Jiao","orcid":"https://orcid.org/0000-0002-0976-8070"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Jiao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621681","display_name":"Yuantao Gu","orcid":"https://orcid.org/0000-0002-8427-1021"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuantao Gu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084038307"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01738203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"169","issue":null,"first_page":"6019","last_page":"6023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8024359941482544},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.7312883734703064},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7198466062545776},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.584338366985321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5059906840324402},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.429126113653183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4210379719734192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41588497161865234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38619405031204224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35136476159095764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31881147623062134},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2529793977737427},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15077775716781616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09831824898719788},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.09378495812416077}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8024359941482544},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.7312883734703064},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7198466062545776},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.584338366985321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059906840324402},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.429126113653183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4210379719734192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41588497161865234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38619405031204224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35136476159095764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31881147623062134},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2529793977737427},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15077775716781616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09831824898719788},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.09378495812416077},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":28,"referenced_works":["https://openalex.org/W565214016","https://openalex.org/W1492564170","https://openalex.org/W2008662406","https://openalex.org/W2030398291","https://openalex.org/W2075295044","https://openalex.org/W2096710051","https://openalex.org/W2099551908","https://openalex.org/W2107470042","https://openalex.org/W2107820823","https://openalex.org/W2113472897","https://openalex.org/W2131172946","https://openalex.org/W2140262081","https://openalex.org/W2150835133","https://openalex.org/W2155421090","https://openalex.org/W2163436471","https://openalex.org/W2168703653","https://openalex.org/W2237986896","https://openalex.org/W2622827174","https://openalex.org/W2897797544","https://openalex.org/W2920265311","https://openalex.org/W2934566931","https://openalex.org/W2963810723","https://openalex.org/W2963893933","https://openalex.org/W2965497096","https://openalex.org/W4247266993","https://openalex.org/W6679168169","https://openalex.org/W6760457199","https://openalex.org/W6761274989"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W2888947734"],"abstract_inverted_index":{"Detecting":[0],"subspace":[1,63,73,87,92,107,140],"signals":[2,88],"is":[3,27,64,74,93,135],"an":[4],"important":[5],"problem":[6],"in":[7,36,47,53,69,101,182],"radar":[8],"and":[9,18,141,144,154],"sonar":[10],"signal":[11,34,183],"processing,":[12,15],"hyperspectral":[13],"image":[14],"wireless":[16],"communication,":[17],"other":[19,147],"fields.":[20],"Among":[21],"these":[22],"problems,":[23],"a":[24,33,37,66,118,152],"typical":[25],"scenario":[26],"that":[28,44],"one":[29],"needs":[30],"to":[31,85],"detect":[32,86],"lying":[35],"given":[38],"target":[39,106,139],"subspace,":[40,143],"contaminated":[41],"by":[42],"interferences":[43],"also":[45],"lie":[46],"some":[48,146],"subspaces.":[49,131],"Most":[50],"classical":[51],"works":[52],"this":[54,114],"aspect":[55],"treated":[56],"only":[57],"the":[58,61,71,78,90,102,105,110,161,167],"cases":[59],"where":[60,104],"interfering":[62,72,91,111,142],"known":[65],"priori,":[67],"but":[68,95],"practice":[70],"often":[75],"unknown.":[76],"Recently,":[77],"arise":[79],"of":[80,163,169,176],"Volume":[81],"Correlation":[82],"Detector":[83,124],"allows":[84],"when":[89],"unknown,":[94],"it":[96],"does":[97],"not":[98],"work":[99],"well":[100],"case":[103],"overlaps":[108],"with":[109],"subspace.":[112],"In":[113],"paper,":[115],"we":[116,158],"propose":[117],"new":[119,133],"detector,":[120],"called":[121],"Principal":[122],"Angle":[123],"(PAD),":[125],"based":[126],"on":[127],"principal":[128],"angles":[129],"between":[130],"Our":[132],"detector":[134],"robust":[136],"against":[137,145],"overlapping":[138],"model":[148],"mismatches.":[149],"To":[150],"provide":[151],"correct":[153],"reasonable":[155],"theoretical":[156],"result,":[157],"borrow":[159],"from":[160],"literature":[162],"numerical":[164],"linear":[165],"algebra":[166],"tool":[168],"affine-invariant":[170],"covariance":[171],"estimation,":[172],"which":[173],"could":[174],"be":[175],"potential":[177],"use":[178],"for":[179],"related":[180],"problems":[181],"processing.":[184]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
