{"id":"https://openalex.org/W2091105942","doi":"https://doi.org/10.1109/icassp.2010.5495835","title":"Feature extraction and optimization of representative-slice in ambiguity function for moving radar emitter recognition","display_name":"Feature extraction and optimization of representative-slice in ambiguity function for moving radar emitter recognition","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2091105942","doi":"https://doi.org/10.1109/icassp.2010.5495835","mag":"2091105942"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal 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/A5100703966","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-4734-7015"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102805077","display_name":"Hongbing Ji","orcid":"https://orcid.org/0000-0002-6775-518X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbing Ji","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101666027","display_name":"Ya Shi","orcid":"https://orcid.org/0000-0001-8054-0688"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Shi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China","School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an 710071,China)","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9325,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81469696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2246","last_page":"2249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980000257492065,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980000257492065,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9498000144958496,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9302999973297119,"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/radar","display_name":"Radar","score":0.767392635345459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7126668691635132},{"id":"https://openalex.org/keywords/ambiguity-function","display_name":"Ambiguity function","score":0.6806597709655762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703227758407593},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6032954454421997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6013736724853516},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4944112300872803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46247684955596924},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45600876212120056},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4394332468509674},{"id":"https://openalex.org/keywords/common-emitter","display_name":"Common emitter","score":0.41293585300445557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23303020000457764},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.217135488986969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1808813512325287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09326931834220886}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.767392635345459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7126668691635132},{"id":"https://openalex.org/C50878840","wikidata":"https://www.wikidata.org/wiki/Q3206297","display_name":"Ambiguity function","level":4,"score":0.6806597709655762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703227758407593},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6032954454421997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6013736724853516},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4944112300872803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46247684955596924},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45600876212120056},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4394332468509674},{"id":"https://openalex.org/C46918542","wikidata":"https://www.wikidata.org/wiki/Q1648344","display_name":"Common emitter","level":2,"score":0.41293585300445557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23303020000457764},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.217135488986969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1808813512325287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09326931834220886},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1993941361","https://openalex.org/W2108884300","https://openalex.org/W2132317560","https://openalex.org/W2152956543","https://openalex.org/W2625354162","https://openalex.org/W6739381846"],"related_works":["https://openalex.org/W2790856699","https://openalex.org/W963760361","https://openalex.org/W1545597883","https://openalex.org/W2606779610","https://openalex.org/W2168136726","https://openalex.org/W2161807425","https://openalex.org/W2363778638","https://openalex.org/W71732713","https://openalex.org/W2618864341","https://openalex.org/W1152150768"],"abstract_inverted_index":{"Radar":[0],"emitter":[1],"recognition":[2,34,95],"is":[3,29,84],"an":[4,18],"important":[5],"and":[6,13,26,69,93,111],"challenging":[7],"subject":[8],"in":[9,74],"radar":[10,37,50,61,123,129],"signal":[11],"analysis":[12],"processing.":[14],"In":[15],"this":[16],"work,":[17],"ambiguity":[19],"function":[20],"(AF)":[21],"representative-slice":[22],"based":[23,77],"feature":[24,47],"extraction":[25],"optimization":[27],"algorithm":[28],"presented":[30],"for":[31],"unintentional":[32],"modulation":[33],"of":[35,43,49,59,114,121],"moving":[36,122],"emitters.":[38],"It":[39],"considers":[40],"near-zero":[41],"slices":[42],"AF":[44,76],"as":[45,125,127],"representative":[46],"set":[48],"emitters,":[51,124],"which":[52],"not":[53],"only":[54],"coincides":[55],"with":[56],"the":[57,66,89,99,103,108,115],"characteristics":[58],"real":[60,119],"signals,":[62],"but":[63],"also":[64],"mitigates":[65],"computation":[67],"problem":[68],"avoids":[70],"undesired":[71],"cross":[72],"terms":[73],"existing":[75],"method.":[78],"Direct":[79],"Discriminant":[80],"Ratio":[81],"(DDR)":[82],"criterion":[83],"further":[85],"utilized":[86],"to":[87],"preserve":[88],"most":[90],"discriminant":[91],"features":[92],"boost":[94],"accuracy,":[96],"by":[97],"ranking":[98],"kernel":[100],"points":[101],"along":[102],"representative-slice.":[104],"Experimental":[105],"results":[106],"validate":[107],"practical":[109],"usefulness":[110],"high":[112],"stability":[113],"proposed":[116],"approach":[117],"on":[118],"data":[120,130],"well":[126],"synthetic":[128],"from":[131],"U.S.":[132],"Naval":[133],"Research":[134],"Laboratory.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}