{"id":"https://openalex.org/W3023695338","doi":"https://doi.org/10.1109/lcomm.2020.2992266","title":"ACSE Networks and Autocorrelation Features for PRI Modulation Recognition","display_name":"ACSE Networks and Autocorrelation Features for PRI Modulation Recognition","publication_year":2020,"publication_date":"2020-05-04","ids":{"openalex":"https://openalex.org/W3023695338","doi":"https://doi.org/10.1109/lcomm.2020.2992266","mag":"3023695338"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2020.2992266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2992266","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications 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/A5031383462","display_name":"Qizhe Qu","orcid":"https://orcid.org/0000-0001-6307-1170"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qizhe Qu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080246113","display_name":"Shunjun Wei","orcid":"https://orcid.org/0000-0001-8091-9540"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjun Wei","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567641","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0002-5832-0037"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074530023","display_name":"Mou Wang","orcid":"https://orcid.org/0000-0003-3462-3989"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mou Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031383462"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.1548,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93112414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"1729","last_page":"1733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9988999962806702,"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":0.9988999962806702,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9584000110626221,"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/autocorrelation","display_name":"Autocorrelation","score":0.8323752284049988},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6999530792236328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902402639389038},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5592275261878967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174575448036194},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5088887214660645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.502839982509613},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4919264316558838},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.48618024587631226},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45576581358909607},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4460328221321106},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3759807348251343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20948293805122375},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14847072958946228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13854163885116577},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1297324001789093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10923770070075989},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09015399217605591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07781246304512024}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8323752284049988},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6999530792236328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902402639389038},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5592275261878967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174575448036194},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5088887214660645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.502839982509613},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4919264316558838},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.48618024587631226},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45576581358909607},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4460328221321106},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3759807348251343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20948293805122375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14847072958946228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13854163885116577},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1297324001789093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10923770070075989},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09015399217605591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07781246304512024},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2020.2992266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2992266","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G590398022","display_name":null,"funder_award_id":"61501098","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":18,"referenced_works":["https://openalex.org/W1994616650","https://openalex.org/W2069890526","https://openalex.org/W2089070963","https://openalex.org/W2165022166","https://openalex.org/W2194775991","https://openalex.org/W2594396939","https://openalex.org/W2626091642","https://openalex.org/W2752782242","https://openalex.org/W2777466350","https://openalex.org/W2782286039","https://openalex.org/W2886717398","https://openalex.org/W2916204331","https://openalex.org/W2955425717","https://openalex.org/W2963420686","https://openalex.org/W2981609437","https://openalex.org/W3003529661","https://openalex.org/W6734189058","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W2015118744","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W2005619368","https://openalex.org/W1879092539","https://openalex.org/W2526155427"],"abstract_inverted_index":{"Pulse":[0],"repetition":[1],"interval":[2],"(PRI)":[3],"modulation":[4,66,109],"recognition":[5,14,128],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,57,71],"electronic":[11],"warfare.":[12],"Conventional":[13],"methods":[15],"based":[16,48],"on":[17,49],"handcrafted":[18],"features":[19,56,70,98,117],"and":[20,55,77,95,145,160],"elaborate":[21],"threshold":[22],"values":[23],"suffer":[24],"from":[25],"the":[26,72,85,126,157],"accuracy":[27,135],"for":[28,142],"multiple":[29],"PRI":[30,65],"modulations":[31,144],"at":[32,136,149,167],"low":[33,168],"signal-to-noise":[34],"ratio":[35],"(SNR)":[36],"with":[37,156],"high":[38],"percentages":[39],"of":[40,115],"missing":[41],"pulses.":[42],"In":[43],"this":[44],"letter,":[45],"a":[46,104],"method":[47,129],"Asymmetric":[50],"Convolution":[51],"Squeeze-and-Excitation":[52],"(ACSE)":[53],"networks":[54,91,165],"autocorrelation":[58,78,116],"domain":[59,76,79],"is":[60,118],"proposed":[61,127],"to":[62,82],"recognize":[63],"six":[64,143],"modes":[67,110],"automatically.":[68],"First,":[69],"time":[73],"domain,":[74],"frequency":[75],"are":[80,87],"converted":[81],"images.":[83],"Then":[84],"images":[86],"input":[88],"into":[89],"ACSE":[90,164],"which":[92],"can":[93,130],"extract":[94],"learn":[96],"deep":[97],"without":[99],"complex":[100],"data":[101],"pre-processing.":[102],"Finally,":[103],"linear":[105],"layer":[106],"will":[107],"output":[108],"directly.":[111],"Via":[112],"simulations,":[113],"robustness":[114],"proved.":[119],"The":[120],"simulation":[121],"results":[122],"also":[123],"demonstrate":[124],"that":[125],"achieve":[131],"higher":[132,146],"than":[133,147],"91%":[134],"-12":[137],"dB":[138,151],"under":[139,152,170],"normal":[140],"conditions":[141],"95%":[148],"-4":[150],"extreme":[153,171],"conditions.":[154,172],"Compared":[155],"conventional":[158],"SVM":[159],"three":[161],"CNN":[162],"methods,":[163],"outperform":[166],"SNRs":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
