{"id":"https://openalex.org/W1578265435","doi":"https://doi.org/10.1186/s13634-015-0244-8","title":"Wall parameters estimation based onsupport vector regression for through wall radar sensing","display_name":"Wall parameters estimation based onsupport vector regression for through wall radar sensing","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W1578265435","doi":"https://doi.org/10.1186/s13634-015-0244-8","mag":"1578265435"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-015-0244-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0244-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0244-8.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","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://link.springer.com/content/pdf/10.1186/s13634-015-0244-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100329931","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-3135-4114"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People\u2019s Republic of China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People\u2019s Republic of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, People\u2019s Republic of China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357388","display_name":"Weidong Chen","orcid":"https://orcid.org/0000-0003-1259-7660"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People\u2019s Republic of China","Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Huangshan Road, Hefei, 230027, People\u2019s Republic of China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, People\u2019s Republic of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, People\u2019s Republic of China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100357388"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I2802624667"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.4187,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68929706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2015","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11609","display_name":"Geophysical Methods and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/robustness","display_name":"Robustness (evolution)","score":0.79974365234375},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6642991304397583},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6211807727813721},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5679469108581543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5662984848022461},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5658240914344788},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4644396901130676},{"id":"https://openalex.org/keywords/permittivity","display_name":"Permittivity","score":0.4442916214466095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3993396461009979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3683387041091919},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.339712530374527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3368973433971405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2926328182220459},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2325175702571869},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12096047401428223},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09260687232017517},{"id":"https://openalex.org/keywords/dielectric","display_name":"Dielectric","score":0.08287698030471802}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.79974365234375},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6642991304397583},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6211807727813721},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5679469108581543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662984848022461},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5658240914344788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4644396901130676},{"id":"https://openalex.org/C168651791","wikidata":"https://www.wikidata.org/wiki/Q211569","display_name":"Permittivity","level":3,"score":0.4442916214466095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993396461009979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3683387041091919},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.339712530374527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3368973433971405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2926328182220459},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2325175702571869},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12096047401428223},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09260687232017517},{"id":"https://openalex.org/C133386390","wikidata":"https://www.wikidata.org/wiki/Q184996","display_name":"Dielectric","level":2,"score":0.08287698030471802},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13634-015-0244-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0244-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0244-8.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","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"}],"best_oa_location":{"id":"doi:10.1186/s13634-015-0244-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0244-8","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0244-8.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","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":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3317773192","display_name":"\u9ad8\u5206\u8fa8\u7387SAR\u56fe\u50cf\u76ee\u6807\u8ba4\u77e5\u6a21\u578b\u53ca\u9ad8\u6548\u7b97\u6cd5","funder_award_id":"61331020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5695911897","display_name":null,"funder_award_id":"61172155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6886634811","display_name":null,"funder_award_id":"No. 61172155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1578265435.pdf","grobid_xml":"https://content.openalex.org/works/W1578265435.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W640945449","https://openalex.org/W1964357740","https://openalex.org/W1971096173","https://openalex.org/W1976473985","https://openalex.org/W1990632866","https://openalex.org/W1998381637","https://openalex.org/W2015641155","https://openalex.org/W2036617413","https://openalex.org/W2046584432","https://openalex.org/W2049387382","https://openalex.org/W2068019452","https://openalex.org/W2069929199","https://openalex.org/W2094277237","https://openalex.org/W2099402957","https://openalex.org/W2107719293","https://openalex.org/W2112130876","https://openalex.org/W2112186756","https://openalex.org/W2124648367","https://openalex.org/W2125142662","https://openalex.org/W2125453038","https://openalex.org/W2133223301","https://openalex.org/W2134945908","https://openalex.org/W2135604518","https://openalex.org/W2137226992","https://openalex.org/W2138489340","https://openalex.org/W2139643075","https://openalex.org/W2150126176","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2157770256","https://openalex.org/W2158994553","https://openalex.org/W2159306970","https://openalex.org/W2161920802","https://openalex.org/W2162671526","https://openalex.org/W2163623294","https://openalex.org/W2165041048","https://openalex.org/W2166316281","https://openalex.org/W2170950703"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W3174513558","https://openalex.org/W2114200869"],"abstract_inverted_index":{"In":[0,132,152,191],"through":[1],"wall":[2,6,23],"radar":[3],"sensing,":[4],"the":[5,22,26,29,37,59,83,93,104,111,115,121,124,130,153,168,171,174,178,189,192,195,209,213,227,232,240],"parameters":[7],"estimation":[8,101,224],"(WPE)":[9],"problem":[10],"has":[11],"been":[12],"a":[13,17,42,64,137,204],"topic":[14],"that":[15,92,142],"attracts":[16],"lot":[18],"of":[19,32,96,134,144,164,170,197,226,235],"attention":[20],"since":[21,103],"parameters,":[24],"i.e.,":[25],"permittivity":[27,172,211],"and":[28,39,72,177,212,222],"thickness,":[30],"are":[31,47,117,127,159,180,217,237],"crucial":[33],"importance":[34],"to":[35,40,182,231],"locate":[36],"targets":[38,125],"produce":[41],"well-focused":[43],"image,":[44],"but":[45],"they":[46],"usually":[48],"unknown":[49],"in":[50,56,82,108,173],"practice.":[51],"To":[52],"solve":[53],"this":[54,57,135,150],"problem,":[55],"paper,":[58],"support":[60],"vector":[61],"regression":[62,68,157],"(SVR),":[63],"powerful":[65],"tool":[66],"for":[67,187],"analysis,":[69],"is":[70,79,86,90,147],"introduced,":[71],"its":[73],"performance":[74],"on":[75],"WPE,":[76],"provided":[77],"it":[78,81,89],"used":[80,107],"regular":[84,94,233],"way,":[85],"investigated.":[87],"Unfortunately,":[88],"shown":[91],"use":[95,234],"SVR":[97,236],"cannot":[98],"afford":[99],"satisfactory":[100],"results":[102,243],"sample":[105],"data":[106],"SVR,":[109,162],"namely":[110],"received":[112],"echoes":[113,122],"from":[114,123],"walls,":[116],"seriously":[118],"interfered":[119],"with":[120],"which":[126,165],"located":[128],"near":[129],"walls.":[131],"view":[133],"limitation,":[136],"novel":[138],"SVR-based":[139],"WPE":[140],"approach":[141,229],"consists":[143],"three":[145,156],"stages":[146],"proposed":[148,228],"by":[149,161,202,239],"paper.":[151],"first":[154],"stage,":[155,176,194],"functions":[158],"trained":[160],"one":[163],"will":[166,199],"output":[167,183],"estimate":[169,196],"second":[175],"others":[179],"designed":[181],"two":[184],"instrumental":[185,215],"variables":[186,216],"estimating":[188],"thickness.":[190],"third":[193],"thickness":[198],"be":[200],"achieved":[201],"minimizing":[203],"predefined":[205],"cost":[206],"function":[207],"wherein":[208],"estimated":[210],"outputted":[214],"involved.":[218],"The":[219],"better":[220],"robustness":[221],"higher":[223],"accuracy":[225],"compared":[230],"validated":[238],"numerical":[241],"experimental":[242],"using":[244],"finite-difference":[245],"time-domain":[246],"simulations.":[247]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
