{"id":"https://openalex.org/W3208185769","doi":"https://doi.org/10.1109/icspcc52875.2021.9564643","title":"A Tensor Method of Angle Estimation for Bistatic MIMO Radar in the Presence of Spatially Colored Noise and Strongly Correlated Targets","display_name":"A Tensor Method of Angle Estimation for Bistatic MIMO Radar in the Presence of Spatially Colored Noise and Strongly Correlated Targets","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208185769","doi":"https://doi.org/10.1109/icspcc52875.2021.9564643","mag":"3208185769"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5076980806","display_name":"Shuai Luo","orcid":"https://orcid.org/0000-0002-6484-3926"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Luo","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044105692","display_name":"Yuexian Wang","orcid":"https://orcid.org/0000-0002-3622-6162"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexian Wang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110305540","display_name":"Chuang Han","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Han","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101028700","display_name":"Yanyun Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Gong","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101788586","display_name":"LI Jian-ying","orcid":"https://orcid.org/0000-0003-2512-5566"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianying Li","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13915094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9958000183105469,"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":0.9945999979972839,"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/robustness","display_name":"Robustness (evolution)","score":0.6519815921783447},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.6516703367233276},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6469944715499878},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6087496280670166},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5556803345680237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5231912732124329},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.5152888298034668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4870505630970001},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4688853919506073},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4358684718608856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3357076346874237},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3050285577774048},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.24087396264076233},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.22736328840255737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16880649328231812},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1191239058971405},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09955239295959473},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06502047181129456}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6519815921783447},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.6516703367233276},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6469944715499878},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6087496280670166},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5556803345680237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5231912732124329},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.5152888298034668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4870505630970001},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4688853919506073},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4358684718608856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3357076346874237},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3050285577774048},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.24087396264076233},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.22736328840255737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16880649328231812},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1191239058971405},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09955239295959473},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06502047181129456},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1615912037","https://openalex.org/W2003733299","https://openalex.org/W2024165284","https://openalex.org/W2025654678","https://openalex.org/W2040822780","https://openalex.org/W2059823312","https://openalex.org/W2110798624","https://openalex.org/W2112899964","https://openalex.org/W2136274821","https://openalex.org/W2160664759","https://openalex.org/W2565201095","https://openalex.org/W2597261759","https://openalex.org/W2752277947","https://openalex.org/W2997280913","https://openalex.org/W3097932407"],"related_works":["https://openalex.org/W2004765814","https://openalex.org/W2950419692","https://openalex.org/W1636544497","https://openalex.org/W2034611846","https://openalex.org/W2051186205","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W1941256462"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,28,55,79,97,110],"devoted":[3],"to":[4,81,86],"the":[5,25,32,43,52,62,74,87,94,119],"angle":[6,83,91],"estimation":[7,92],"problem":[8],"for":[9],"bistatic":[10],"multiple-input":[11],"multiple-output":[12],"(MIMO)":[13],"radar":[14],"under":[15],"strongly":[16],"correlated":[17],"targets":[18],"and":[19,42,61,103],"spatially":[20],"colored":[21,47],"noise":[22,34,48],"scenes.":[23],"Firstly,":[24],"cross-covariance":[26,53],"matrix":[27,54],"established":[29],"by":[30,68,93],"using":[31],"independent":[33],"vector":[35],"after":[36],"matched":[37],"filtering":[38],"in":[39],"time":[40],"domain,":[41],"components":[44],"of":[45,121],"spatial":[46],"are":[49],"eliminated.":[50],"Then,":[51],"rearranged":[56],"into":[57],"a":[58,111],"third-order":[59,71,89],"tensor,":[60,90],"reconstructed":[63,88],"tensor":[64],"can":[65],"be":[66],"obtained":[67],"concatenating":[69],"two":[70],"tensors.":[72],"Finally,":[73],"Parallel":[75],"Factor":[76],"(PARAFAC)":[77],"decomposition":[78],"utilized":[80],"resolve":[82],"estimates.":[84],"Owing":[85],"proposed":[95],"method":[96],"more":[98],"accurate":[99],"than":[100],"existing":[101],"methods":[102],"has":[104],"stronger":[105],"robustness":[106],"even":[107],"though":[108],"there":[109],"strong":[112],"correlation":[113],"between":[114],"targets.":[115],"Simulation":[116],"results":[117],"verify":[118],"advantages":[120],"our":[122],"solutions":[123],"over":[124],"its":[125],"cutting-edge":[126],"counterparts.":[127]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
