{"id":"https://openalex.org/W2889231018","doi":"https://doi.org/10.1109/lgrs.2018.2865536","title":"Low-Complexity Off-Grid STAP Algorithm Based on Local Search Clutter Subspace Estimation","display_name":"Low-Complexity Off-Grid STAP Algorithm Based on Local Search Clutter Subspace Estimation","publication_year":2018,"publication_date":"2018-08-30","ids":{"openalex":"https://openalex.org/W2889231018","doi":"https://doi.org/10.1109/lgrs.2018.2865536","mag":"2889231018"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2865536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2865536","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5088425344","display_name":"Zhihui Li","orcid":"https://orcid.org/0000-0003-0188-1842"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihui Li","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xian, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868208","display_name":"Yongshun Zhang","orcid":"https://orcid.org/0009-0008-3729-2357"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongshun Zhang","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xian, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066834288","display_name":"Xingyu He","orcid":"https://orcid.org/0000-0002-6098-9004"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu He","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xian, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044941285","display_name":"Yiduo Guo","orcid":"https://orcid.org/0000-0002-6323-6235"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiduo Guo","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xian, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088425344"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":2.0268,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8546384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"15","issue":"12","first_page":"1862","last_page":"1866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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/clutter","display_name":"Clutter","score":0.8946030139923096},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8321223855018616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7387844920158386},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.6139732003211975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5910623073577881},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5093287229537964},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.4570378065109253},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42321568727493286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.306455135345459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2984299063682556},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2153436541557312},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06866222620010376},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.058858513832092285}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8946030139923096},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8321223855018616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7387844920158386},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.6139732003211975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910623073577881},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5093287229537964},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4570378065109253},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42321568727493286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.306455135345459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2984299063682556},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2153436541557312},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06866222620010376},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.058858513832092285},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2865536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2865536","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5731021415","display_name":null,"funder_award_id":"61501501","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":19,"referenced_works":["https://openalex.org/W1504174073","https://openalex.org/W1986362571","https://openalex.org/W1992172678","https://openalex.org/W2028823365","https://openalex.org/W2039712625","https://openalex.org/W2111825923","https://openalex.org/W2116148865","https://openalex.org/W2149246019","https://openalex.org/W2166307990","https://openalex.org/W2193760349","https://openalex.org/W2291454393","https://openalex.org/W2294649896","https://openalex.org/W2460384451","https://openalex.org/W2513373031","https://openalex.org/W2563697538","https://openalex.org/W2565293665","https://openalex.org/W2593618608","https://openalex.org/W3023218716","https://openalex.org/W6684391177"],"related_works":["https://openalex.org/W2130932512","https://openalex.org/W2170243420","https://openalex.org/W4206580878","https://openalex.org/W1990764752","https://openalex.org/W1985188219","https://openalex.org/W2105567464","https://openalex.org/W4312238229","https://openalex.org/W2548502051","https://openalex.org/W2048554064","https://openalex.org/W2064777544"],"abstract_inverted_index":{"Space-time":[0],"adaptive":[1],"processing":[2],"(STAP)":[3],"based":[4,55],"on":[5,34,56,128],"sparse":[6],"recovery":[7],"(SR-STAP)":[8],"techniques":[9],"exhibits":[10],"significantly":[11],"better":[12],"performance":[13],"than":[14],"conventional":[15],"STAP":[16,53,82,98,120],"algorithms":[17,44],"within":[18],"a":[19,50],"very":[20],"small":[21],"number":[22],"of":[23,42,151],"snapshots.":[24],"However,":[25],"when":[26],"the":[27,35,40,69,72,79,85,90,96,107,114,119,126,129,133,149,152],"clutter":[28,59,115,134],"patches":[29],"do":[30],"not":[31],"locate":[32],"exactly":[33],"discrete":[36],"space-time":[37,102],"grid":[38],"points,":[39],"performances":[41],"SR-STAP":[43],"degrade":[45],"severely.":[46],"In":[47,68],"this":[48,66],"letter,":[49],"low-complexity":[51],"off-grid":[52],"algorithm":[54],"local":[57,97],"search":[58],"subspace":[60,116,130],"estimation":[61],"is":[62,122],"proposed":[63,70,153],"to":[64,106,112,132,147],"overcome":[65],"issue.":[67],"algorithm,":[71],"global":[73,81],"atoms":[74,92,109],"are":[75,93,110,144],"first":[76],"selected":[77],"from":[78,95],"reduced-dimension":[80],"dictionary":[83],"using":[84],"design":[86],"selection":[87],"criterion.":[88],"Then,":[89],"optimal":[91,108],"searched":[94],"dictionary.":[99],"Finally,":[100],"these":[101],"steering":[103],"vectors":[104],"corresponding":[105],"used":[111],"construct":[113],"iteratively,":[117],"and":[118,141],"weight":[121],"obtained":[123],"by":[124],"projecting":[125],"snapshot":[127],"orthogonal":[131],"subspace.":[135],"Numerical":[136],"experiments":[137],"with":[138],"both":[139],"simulated":[140],"Mountain-Top":[142],"data":[143],"carried":[145],"out":[146],"demonstrate":[148],"effectiveness":[150],"algorithm.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}