{"id":"https://openalex.org/W4323796291","doi":"https://doi.org/10.1109/access.2023.3247132","title":"An Efficient Parameter Estimation Algorithm of the GTD Model Based on the MMP Algorithm","display_name":"An Efficient Parameter Estimation Algorithm of the GTD Model Based on the MMP Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323796291","doi":"https://doi.org/10.1109/access.2023.3247132"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3247132","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10049467.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10049467.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057455351","display_name":"Xv Jia-Hua","orcid":"https://orcid.org/0000-0001-8467-2979"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xv Jia-Hua","raw_affiliation_strings":["The Graduate School, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"The Graduate School, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115444825","display_name":"Xiaokuan Zhang","orcid":"https://orcid.org/0000-0002-3114-6251"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Xiao-Kuan","raw_affiliation_strings":["Air and Missile Defence College, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defence College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777064","display_name":"Shuyu Zheng","orcid":"https://orcid.org/0000-0002-7785-1183"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Shu-Yu","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719342","display_name":"Binfeng Zong","orcid":"https://orcid.org/0000-0002-3724-8208"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zong Bin-Feng","raw_affiliation_strings":["The Graduate School, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"The Graduate School, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018774556","display_name":"Qiankuo Ma","orcid":"https://orcid.org/0000-0002-4699-5758"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ma Qian-Kuo","raw_affiliation_strings":["The Graduate School, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"The Graduate School, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704992","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-1849-9319"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yang","raw_affiliation_strings":["The Graduate School, Air Force Engineering University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"The Graduate School, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.003,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.766468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":85},"biblio":{"volume":"11","issue":null,"first_page":"22542","last_page":"22552"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9991,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/rotational-invariance","display_name":"Rotational invariance","score":0.46203685},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4535417},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41761333}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.8417525},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6153642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035161},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49785995},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49377283},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.46503538},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.46203685},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4535417},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4297507},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41802534},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41761333},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4120308},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.37633345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2616606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14995086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.081477046},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3247132","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10049467.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3247132","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10049467.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1200626612","https://openalex.org/W1991258281","https://openalex.org/W2105233799","https://openalex.org/W2110798624","https://openalex.org/W2123513765","https://openalex.org/W2146884793","https://openalex.org/W2262462480","https://openalex.org/W2391561717","https://openalex.org/W2517787832","https://openalex.org/W2557386232","https://openalex.org/W2596473454","https://openalex.org/W2597267046","https://openalex.org/W2611686980","https://openalex.org/W2778094290","https://openalex.org/W2810119484","https://openalex.org/W2888890149","https://openalex.org/W2899501937","https://openalex.org/W3164291262","https://openalex.org/W4250598792"],"related_works":["https://openalex.org/W4323796291","https://openalex.org/W4248694259","https://openalex.org/W3209093869","https://openalex.org/W3208653488","https://openalex.org/W3201815179","https://openalex.org/W2900908032","https://openalex.org/W2803281744","https://openalex.org/W2339165443","https://openalex.org/W2321848620","https://openalex.org/W2142402204"],"abstract_inverted_index":{"In":[0],"this":[1,93],"paper,":[2],"a":[3,84],"MMP":[4],"algorithm":[5,15,89,97,123,186],"is":[6,90],"proposed.":[7],"Compared":[8,115],"with":[9,156],"the":[10,13,17,29,42,51,65,103,107,117,121,126,136,140,143,147,151,157,162,165,184,188,199],"classical":[11,118],"algorithm,":[12,120,142,174],"proposed":[14,91,96,122,152,185],"reduces":[16,28,125,187],"noise":[18,189],"threshold":[19,190],"of":[20,44,54,61,106,139,150,191],"stably":[21,192],"extractable":[22,193],"parameters":[23,194],"by":[24,32,101,129,195,202],"15":[25,196],"dB":[26],"and":[27,75,110,146,164],"computing":[30,200],"time":[31,149,201],"ten":[33,203],"or":[34,204],"more.":[35,205],"As":[36],"an":[37],"efficient":[38],"way":[39],"to":[40,116],"interpret":[41],"measurements":[43],"high-frequency":[45],"Inverse":[46],"Synthetic":[47],"Aperture":[48],"Radar":[49],"(ISAR),":[50],"Geometric":[52],"Theory":[53],"Diffraction":[55],"(GTD)":[56],"model":[57],"provides":[58],"concise":[59],"features":[60],"complex":[62],"targets.":[63],"However,":[64],"existing":[66],"parameter":[67,99],"extraction":[68],"algorithms":[69,153],"suffer":[70],"from":[71],"high":[72],"computational":[73,127],"complexity":[74,128],"poor":[76],"ability":[77],"against":[78],"noise.":[79],"To":[80,134],"solve":[81],"these":[82],"challenges,":[83],"Maximum":[85],"Matching":[86],"Pursuit":[87],"(MMP)":[88],"in":[92],"paper.":[94],"The":[95,179],"achieves":[98],"estimation":[100],"searching":[102],"maximum":[104],"value":[105],"dictionary":[108],"matrix":[109,113],"observation":[111],"signal":[112],"product.":[114],"OMP":[119,163],"significantly":[124],"estimating":[130],"params":[131],"without":[132],"cycles.":[133],"demonstrate":[135],"reconstruction":[137],"efficiency":[138],"improved":[141],"Root-Mean-square-error":[144],"(RMSE),":[145],"computer":[148],"are":[154],"compared":[155],"original":[158],"algorithms,":[159],"such":[160],"as":[161],"Estimating":[166],"Signal":[167],"Parameters":[168],"via":[169],"Rotational":[170],"Invariance":[171],"Techniques":[172],"(ESPRIT)":[173],"under":[175],"different":[176],"Signal-to-Noise-Ratio":[177],"(SNR).":[178],"simulation":[180],"results":[181],"show":[182],"that":[183],"dB,":[197],"reducing":[198]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4323796291","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-04-18T17:06:52.494476","created_date":"2023-03-11"}