{"id":"https://openalex.org/W4362564506","doi":"https://doi.org/10.1145/3577164.3577186","title":"Robust DOA Estimation in Strong Clutter Environment based on Subarray STAP","display_name":"Robust DOA Estimation in Strong Clutter Environment based on Subarray STAP","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4362564506","doi":"https://doi.org/10.1145/3577164.3577186"},"language":"en","primary_location":{"id":"doi:10.1145/3577164.3577186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","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/A5083093723","display_name":"Zhengxi Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengxi Zeng","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109096409","display_name":"Y. H. Cheng","orcid":"https://orcid.org/0000-0001-8767-1170"},"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":"Yufeng Cheng","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048127007","display_name":"Yifeng Wu","orcid":"https://orcid.org/0000-0002-7714-7620"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Wu","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083093723"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.1488,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45171077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987000226974487,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9968000054359436,"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":0.9566061496734619},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6602517366409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6106362342834473},{"id":"https://openalex.org/keywords/monopulse-radar","display_name":"Monopulse radar","score":0.5362744927406311},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4652785658836365},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4189186096191406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3855617344379425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36211538314819336},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.12801548838615417},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12697574496269226},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12374204397201538},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.08595097064971924}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9566061496734619},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6602517366409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6106362342834473},{"id":"https://openalex.org/C186770734","wikidata":"https://www.wikidata.org/wiki/Q622911","display_name":"Monopulse radar","level":5,"score":0.5362744927406311},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4652785658836365},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4189186096191406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855617344379425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36211538314819336},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.12801548838615417},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12697574496269226},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12374204397201538},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.08595097064971924},{"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:10.1145/3577164.3577186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2343519569","display_name":null,"funder_award_id":"62101603,62201623,62001468","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":16,"referenced_works":["https://openalex.org/W1594866568","https://openalex.org/W1606015561","https://openalex.org/W2044501248","https://openalex.org/W2118750824","https://openalex.org/W2138752495","https://openalex.org/W2149246019","https://openalex.org/W2166307990","https://openalex.org/W2462138637","https://openalex.org/W2468750340","https://openalex.org/W2484238939","https://openalex.org/W2550059992","https://openalex.org/W2560216420","https://openalex.org/W3023218716","https://openalex.org/W4234803735","https://openalex.org/W4241208789","https://openalex.org/W6682393836"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3173283069"],"abstract_inverted_index":{"The":[0,118],"conventional":[1],"monopulse":[2],"method":[3,44,59,120,144],"to":[4,45,65,100],"estimate":[5,46],"target":[6,17,31],"direction":[7],"of":[8,16,98,131,141],"arrival":[9],"(DOA)":[10],"performs":[11,121],"well":[12,122],"when":[13,29,134],"the":[14,30,36,57,67,72,80,86,96,109,114,129,136,139,142,148],"power":[15,32],"is":[18,33,93,106,116,145],"high,":[19],"but":[20],"its":[21],"performance":[22],"degrades":[23],"seriously":[24],"in":[25,48,69,123],"strong":[26,49,124,132],"clutter":[27,37,50,54,68,81,91,104,125,133],"environment":[28,51],"lower":[34],"than":[35],"power.":[38],"This":[39],"paper":[40],"proposes":[41],"a":[42],"robust":[43],"DOA":[47,115,137],"based":[52],"on":[53],"suppression.":[55],"Firstly,":[56],"proposed":[58,119,143],"adopts":[60],"space-time":[61],"adaptive":[62],"processing":[63],"(STAP)":[64],"suppress":[66],"sub-array.":[70],"Secondly,":[71],"sum":[73,101],"and":[74,113,138],"difference":[75,99],"data":[76,102],"are":[77],"formed":[78],"by":[79,147],"suppressed":[82],"sub-array":[83],"data.":[84],"Thirdly,":[85],"new":[87,110],"discriminate":[88],"function":[89],"after":[90,103],"suppression":[92,105],"calculated.":[94],"Finally,":[95],"ratio":[97],"compared":[107],"with":[108],"discriminant":[111],"function,":[112],"estimated.":[117],"because":[126],"it":[127],"reduces":[128],"effect":[130],"estimating":[135],"effectiveness":[140],"demonstrated":[146],"experimental":[149],"results.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}