{"id":"https://openalex.org/W4387129507","doi":"https://doi.org/10.1109/taes.2023.3320636","title":"Compound-Gaussian Spatial-Temporal Correlated Complex Clutter Simulation Based on a Two-Step Data-Driven Method","display_name":"Compound-Gaussian Spatial-Temporal Correlated Complex Clutter Simulation Based on a Two-Step Data-Driven Method","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387129507","doi":"https://doi.org/10.1109/taes.2023.3320636"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2023.3320636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3320636","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5042449847","display_name":"Xingxing Liao","orcid":"https://orcid.org/0000-0003-0672-8791"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingxing Liao","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-0672-8791","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036792699","display_name":"Junhao Xie","orcid":"https://orcid.org/0000-0002-1935-1842"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Xie","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1935-1842","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057846327","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-5077-3800"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5077-3800","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042449847"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.5112,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71914161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"59","issue":"6","first_page":"9512","last_page":"9526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9480000138282776,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13121","display_name":"Radio Wave Propagation Studies","score":0.9369000196456909,"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/clutter","display_name":"Clutter","score":0.9631751775741577},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6524778008460999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5609627962112427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5603346228599548},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5441104769706726},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.5236451625823975},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4340451955795288},{"id":"https://openalex.org/keywords/k-distribution","display_name":"K-distribution","score":0.41162213683128357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32791438698768616},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.3245733976364136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26672011613845825},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21191444993019104},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.16532039642333984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1446637511253357},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14409732818603516}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9631751775741577},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6524778008460999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5609627962112427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5603346228599548},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5441104769706726},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.5236451625823975},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4340451955795288},{"id":"https://openalex.org/C128963836","wikidata":"https://www.wikidata.org/wiki/Q6322815","display_name":"K-distribution","level":3,"score":0.41162213683128357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32791438698768616},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3245733976364136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26672011613845825},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21191444993019104},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.16532039642333984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1446637511253357},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14409732818603516},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/taes.2023.3320636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2023.3320636","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1414799062","display_name":null,"funder_award_id":"62371162","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W319399787","https://openalex.org/W1520636577","https://openalex.org/W1879263465","https://openalex.org/W1967317889","https://openalex.org/W1975511037","https://openalex.org/W1982298031","https://openalex.org/W1993351044","https://openalex.org/W2008766550","https://openalex.org/W2020105744","https://openalex.org/W2034783362","https://openalex.org/W2048358036","https://openalex.org/W2051910219","https://openalex.org/W2060839960","https://openalex.org/W2064795197","https://openalex.org/W2080824149","https://openalex.org/W2092085096","https://openalex.org/W2094842984","https://openalex.org/W2107408144","https://openalex.org/W2108941417","https://openalex.org/W2119456667","https://openalex.org/W2125412367","https://openalex.org/W2142485381","https://openalex.org/W2145477670","https://openalex.org/W2154905182","https://openalex.org/W2155085562","https://openalex.org/W2181393575","https://openalex.org/W2230452525","https://openalex.org/W2240623200","https://openalex.org/W2257063774","https://openalex.org/W2493482596","https://openalex.org/W2499292135","https://openalex.org/W2511789653","https://openalex.org/W2615339091","https://openalex.org/W2765885960","https://openalex.org/W2790941188","https://openalex.org/W2906712528","https://openalex.org/W2942228371","https://openalex.org/W3005779819","https://openalex.org/W3018216199","https://openalex.org/W3028748421","https://openalex.org/W3147291723","https://openalex.org/W3160156970","https://openalex.org/W3194448754","https://openalex.org/W3194826546","https://openalex.org/W3198943004","https://openalex.org/W4214693460","https://openalex.org/W4214898987","https://openalex.org/W4229063248","https://openalex.org/W4285818327","https://openalex.org/W6611125038","https://openalex.org/W6794654268"],"related_works":["https://openalex.org/W1996481683","https://openalex.org/W1878624275","https://openalex.org/W2165161896","https://openalex.org/W2372138125","https://openalex.org/W3126414185","https://openalex.org/W2385212493","https://openalex.org/W2149966954","https://openalex.org/W2110106778","https://openalex.org/W2125791437","https://openalex.org/W3000145458"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"aiming":[3],"to":[4,17,28,82,104],"simulate":[5],"random":[6],"complex":[7,35,68,107],"clutter":[8,120],"with":[9,38],"the":[10,18,39,46,51,56,63,67,74,78,85,93,98,106,112,119,123,128,134],"similar":[11],"spatial-temporal":[12,41],"correlation":[13,42,99],"and":[14,97],"amplitude":[15,75,86],"distribution":[16,76,87],"measured":[19,52,79,135],"clutter,":[20],"a":[21,34,90],"two-step":[22,124],"data-driven":[23],"method":[24,101,125],"as":[25],"an":[26],"alternative":[27],"statistical":[29,130],"methods":[30],"is":[31,43,60,102],"proposed.":[32],"First,":[33],"data":[36,69,108],"matrix":[37,70,109],"desired":[40],"generated":[44,110,121],"via":[45],"sliding-window":[47],"filtering":[48],"(SWF)":[49],"from":[50],"clutter.":[53,80,136],"Based":[54],"on":[55],"compound-Gaussian":[57],"model,":[58],"it":[59],"explained":[61],"that":[62,66,118],"SWF":[64],"guarantees":[65],"can":[71,126],"roughly":[72],"reproduce":[73,127],"of":[77],"Second,":[81],"further":[83],"improve":[84],"reproducing":[88],"performance,":[89],"scheme":[91],"combining":[92],"amplitude-phase":[94],"separation":[95],"technique":[96],"transfer":[100],"introduced":[103],"process":[105],"by":[111,122],"SWF.":[113],"The":[114],"experimental":[115],"results":[116],"show":[117],"main":[129],"characteristics":[131],"observed":[132],"in":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}