{"id":"https://openalex.org/W2572003855","doi":"https://doi.org/10.1145/3015166.3015178","title":"Novel Training Sample Selection Methods for SR-STAP","display_name":"Novel Training Sample Selection Methods for SR-STAP","publication_year":2016,"publication_date":"2016-11-21","ids":{"openalex":"https://openalex.org/W2572003855","doi":"https://doi.org/10.1145/3015166.3015178","mag":"2572003855"},"language":"en","primary_location":{"id":"doi:10.1145/3015166.3015178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","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/A5061036606","display_name":"Sudan Han","orcid":"https://orcid.org/0000-0003-4615-1632"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sudan Han","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109518345","display_name":"Chongyi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyi Fan","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107906747","display_name":"Xiaotao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Huang","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406525","display_name":"Zhimin Zhou","orcid":"https://orcid.org/0000-0002-4135-0977"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Zhou","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061036606"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.7631,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84014751,"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":"154","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation 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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.940223217010498},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6095758676528931},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.6028180718421936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600763738155365},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5534965395927429},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5277636051177979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040527582168579},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5038198828697205},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.500964879989624},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.49262934923171997},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4678438603878021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4660215377807617},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.46531370282173157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3919251561164856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3361437916755676},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.273578941822052},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2731684446334839},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.09221994876861572},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.08872240781784058},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07709413766860962}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.940223217010498},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6095758676528931},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.6028180718421936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600763738155365},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5534965395927429},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5277636051177979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040527582168579},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5038198828697205},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.500964879989624},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.49262934923171997},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4678438603878021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4660215377807617},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.46531370282173157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3919251561164856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3361437916755676},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.273578941822052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2731684446334839},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.09221994876861572},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.08872240781784058},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07709413766860962},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3015166.3015178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1594866568","https://openalex.org/W1992172678","https://openalex.org/W2013438974","https://openalex.org/W2035568543","https://openalex.org/W2053909837","https://openalex.org/W2100556411","https://openalex.org/W2106504868","https://openalex.org/W2111825923","https://openalex.org/W2127271355","https://openalex.org/W2149246019","https://openalex.org/W2289917018","https://openalex.org/W2484238939","https://openalex.org/W3023218716"],"related_works":["https://openalex.org/W2369238782","https://openalex.org/W2130932512","https://openalex.org/W2369680611","https://openalex.org/W2045728981","https://openalex.org/W1532932657","https://openalex.org/W2761190328","https://openalex.org/W2170243420","https://openalex.org/W2159856855","https://openalex.org/W3018194276","https://openalex.org/W2047066277"],"abstract_inverted_index":{"Space-time":[0],"adaptive":[1],"processing":[2],"based":[3,102],"on":[4,103],"clutter":[5,25,33,63,84],"sparse":[6,76,85],"recovery":[7,77],"(SR-STAP)":[8],"method":[9],"has":[10],"attracted":[11],"considerable":[12],"attention":[13],"due":[14],"to":[15,60,81],"its":[16],"superiority":[17],"in":[18,69],"severe":[19],"heterogeneous":[20],"environments.":[21],"To":[22],"ensure":[23],"good":[24],"suppression":[26],"performance,":[27],"training":[28,44,98],"samples":[29],"should":[30],"share":[31],"similar":[32],"statistic":[34],"property":[35,86],"with":[36],"the":[37,62,75,83,111],"tested":[38],"sample.":[39],"This":[40],"paper":[41],"proposes":[42],"two":[43],"sample":[45],"selection":[46],"methods":[47],"for":[48],"SR-STAP":[49],"which":[50],"adopt":[51],"geometrical":[52],"distances":[53,71,91],"including":[54],"Euclidean":[55],"distance":[56,59],"and":[57],"Riemannian":[58],"measure":[61],"similarity.":[64],"The":[65],"interference":[66],"covariance":[67],"matrices":[68],"these":[70,114],"are":[72,92,94],"estimated":[73],"using":[74],"theory":[78],"so":[79],"as":[80,96],"take":[82],"into":[87],"consideration.":[88],"Samples":[89],"whose":[90],"smallest":[93],"selected":[95],"appropriate":[97],"samples.":[99],"Numerical":[100],"results":[101],"publicly":[104],"available":[105],"Mountain":[106],"Top":[107],"measured":[108],"data":[109],"validate":[110],"effectiveness":[112],"of":[113],"proposed":[115],"methods.":[116]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}