{"id":"https://openalex.org/W4312297942","doi":"https://doi.org/10.1145/3556384.3556403","title":"Space-Time Characteristic Analysis and Suppression Method Research of Directional Noise in HFSWR","display_name":"Space-Time Characteristic Analysis and Suppression Method Research of Directional Noise in HFSWR","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4312297942","doi":"https://doi.org/10.1145/3556384.3556403"},"language":"en","primary_location":{"id":"doi:10.1145/3556384.3556403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","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/A5068604684","display_name":"Dezhu Xiao","orcid":"https://orcid.org/0000-0003-4462-0028"},"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":"Dezhu Xiao","raw_affiliation_strings":["School of Electronics Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036669418","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0002-6570-1516"},"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":"Qiang Yang","raw_affiliation_strings":["School of Electronics Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326761","display_name":"Jiaming Li","orcid":"https://orcid.org/0009-0004-1114-4568"},"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":"Jiaming Li","raw_affiliation_strings":["School of Electronics Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22413812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"123"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6992305517196655},{"id":"https://openalex.org/keywords/ambient-noise-level","display_name":"Ambient noise level","score":0.6231630444526672},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.501856803894043},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4802284836769104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.463964581489563},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.4504762291908264},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3233627676963806},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2671579122543335},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19145312905311584},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.17144149541854858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12597745656967163}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6992305517196655},{"id":"https://openalex.org/C205312793","wikidata":"https://www.wikidata.org/wiki/Q16002801","display_name":"Ambient noise level","level":3,"score":0.6231630444526672},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.501856803894043},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4802284836769104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.463964581489563},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.4504762291908264},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3233627676963806},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2671579122543335},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19145312905311584},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.17144149541854858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12597745656967163},{"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/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3556384.3556403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1870924424","https://openalex.org/W1981379645","https://openalex.org/W1991423546","https://openalex.org/W1991889667","https://openalex.org/W2013438974","https://openalex.org/W2023288628","https://openalex.org/W2040270230","https://openalex.org/W2041693276","https://openalex.org/W2099985561","https://openalex.org/W2159359905","https://openalex.org/W2275016460","https://openalex.org/W3137799221","https://openalex.org/W4214695810","https://openalex.org/W4229369829"],"related_works":["https://openalex.org/W1994247068","https://openalex.org/W3089497152","https://openalex.org/W2101043625","https://openalex.org/W2909324942","https://openalex.org/W216737315","https://openalex.org/W2015133066","https://openalex.org/W2162374031","https://openalex.org/W2150465873","https://openalex.org/W2897951999","https://openalex.org/W3011514165"],"abstract_inverted_index":{"The":[0,126],"ambient":[1,20],"noise":[2,21,42,55,71,91,109,131,191],"at":[3,138],"any":[4],"two":[5],"different":[6],"sensors,":[7],"in":[8,57,147,189],"practice,":[9],"may":[10,23],"correlate":[11],"with":[12],"each":[13],"other,":[14],"and":[15,49,53,112,120,182],"the":[16,54,89,100,108,115,139,162,169,175,183],"spatial":[17,118],"distribution":[18],"of":[19,27,92,123,141,165,185],"intensity":[22],"be":[24,75],"directional":[25,70,90,124,130,166,190],"because":[26],"extreme":[28],"weather":[29],"(thunderstorms,":[30],"typhoons)":[31],"or":[32],"human":[33],"factors":[34],"(offshore":[35],"wind":[36],"farms,":[37],"surrounding":[38],"urban":[39],"areas).":[40],"Directional":[41],"generally":[43],"covers":[44],"all":[45],"doppler":[46,58],"shift":[47],"units":[48],"several":[50],"angle":[51],"units,":[52],"level":[56],"domain":[59,149],"usually":[60],"increases":[61],"by":[62,69],"10-15":[63],"dB.":[64],"Consequently,":[65],"weak":[66,133,186],"targets":[67],"masked":[68],"are":[72],"difficult":[73],"to":[74,87],"detected.":[76],"In":[77],"this":[78,153],"paper,":[79],"Space-time":[80],"adaptive":[81],"processing":[82],"(STAP)":[83],"method":[84,159,179],"is":[85,180,192],"used":[86],"analyze":[88],"High":[93],"Frequency":[94],"Surface":[95],"Wave":[96],"Radar":[97],"(HFSWR).":[98],"For":[99],"given":[101],"measurements":[102],"data":[103],"set,":[104],"we":[105],"first":[106],"researched":[107],"assess":[110],"method,":[111],"then":[113],"analyzed":[114],"range":[116],"correlation,":[117],"correlation":[119],"space-time":[121,134],"characteristics":[122,164],"noise.":[125,167],"results":[127,171],"proved":[128],"that":[129,174],"has":[132],"coupling.":[135],"Then,":[136],"aiming":[137],"problem":[140],"Local":[142],"Processed":[143],"Region":[144],"(LPR)":[145],"selection":[146,158,178],"joint":[148],"localized":[150],"(JDL)":[151],"algorithm,":[152],"paper":[154],"proposed":[155],"an":[156],"LPR":[157,177],"based":[160],"on":[161],"multidimensional":[163],"Finally,":[168],"experimental":[170],"have":[172],"demonstrated":[173],"improved":[176],"effective":[181],"performance":[184],"target":[187],"detection":[188],"improved.":[193]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
