{"id":"https://openalex.org/W2782286039","doi":"https://doi.org/10.1109/icspcc.2017.8242587","title":"An improved algorithm for PRI modulation recognition","display_name":"An improved algorithm for PRI modulation recognition","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2782286039","doi":"https://doi.org/10.1109/icspcc.2017.8242587","mag":"2782286039"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5101976892","display_name":"Yanchao Liu","orcid":"https://orcid.org/0000-0002-6647-8491"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Liu","raw_affiliation_strings":["Institute of Electrics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001113656","display_name":"Qunying Zhang","orcid":"https://orcid.org/0000-0002-2219-610X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunying Zhang","raw_affiliation_strings":["Institute of Electrics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.685,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92585105,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9986000061035156,"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":0.9986000061035156,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9297999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.6958454847335815},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6326000690460205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268314123153687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5554446578025818},{"id":"https://openalex.org/keywords/electronic-warfare","display_name":"Electronic warfare","score":0.5352182388305664},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5167152285575867},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5118943452835083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45013725757598877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4406147599220276},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.42874929308891296},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42416155338287354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39699220657348633},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14971980452537537},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12729951739311218},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10884389281272888},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08961430191993713}],"concepts":[{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6958454847335815},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6326000690460205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268314123153687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5554446578025818},{"id":"https://openalex.org/C133082901","wikidata":"https://www.wikidata.org/wiki/Q272826","display_name":"Electronic warfare","level":3,"score":0.5352182388305664},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5167152285575867},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5118943452835083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45013725757598877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4406147599220276},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.42874929308891296},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42416155338287354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39699220657348633},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14971980452537537},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12729951739311218},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10884389281272888},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08961430191993713},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2017.8242587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":8,"referenced_works":["https://openalex.org/W2047306525","https://openalex.org/W2069890526","https://openalex.org/W2093655330","https://openalex.org/W2116717356","https://openalex.org/W2594396939","https://openalex.org/W2995130233","https://openalex.org/W6728567691","https://openalex.org/W6734189058"],"related_works":["https://openalex.org/W2320244802","https://openalex.org/W3202506802","https://openalex.org/W4245828353","https://openalex.org/W755765519","https://openalex.org/W1709888430","https://openalex.org/W2393957195","https://openalex.org/W2143358154","https://openalex.org/W4389910770","https://openalex.org/W2107617581","https://openalex.org/W2960950421"],"abstract_inverted_index":{"In":[0,63,94],"modern":[1],"electronic":[2],"warfare,":[3],"it":[4],"is":[5,33,52,89,131],"a":[6,100,127],"severe":[7],"challenge":[8],"for":[9],"the":[10,18,21,25,28,37,42,47,56,59,67,73,97,108,144,161],"Electronic":[11],"Support":[12],"Measure":[13],"(ESM)":[14],"system":[15],"to":[16,36,55,65,133],"realize":[17],"recognition":[19,48,83],"of":[20,27,41,49,58,75,155],"threat":[22,60],"radiation":[23,44,61],"source,":[24],"modulation":[26,51,69,103,137],"pulse":[29,76,109],"repetition":[30],"interval":[31],"(PRI)":[32],"closely":[34],"related":[35],"function":[38],"and":[39,78,117,153],"application":[40],"radar":[43],"source.":[45,62],"Therefore,":[46],"PRI":[50,68,102,136],"greatly":[53,159],"significance":[54],"identification":[57],"order":[64],"recognize":[66,134],"type":[70,104],"accurately":[71],"in":[72,91],"presence":[74],"missing":[77],"noise":[79],"pulses,":[80],"an":[81],"improved":[82,146],"algorithm":[84],"based":[85],"on":[86],"neural":[87,129],"network":[88,130],"proposed":[90,145],"this":[92,95],"paper.":[93],"paper,":[96],"features":[98],"describing":[99],"particular":[101],"are":[105,124],"extracted":[106],"from":[107],"interval,":[110],"which":[111],"includes":[112],"local":[113],"stationarity,":[114],"monotonic":[115],"directionality":[116],"symmetry.":[118],"After":[119],"3":[120],"dimensional":[121],"feature":[122],"spaces":[123],"set":[125],"up,":[126],"multi-layer":[128],"employed":[132],"different":[135],"type.":[138],"The":[139],"simulation":[140],"results":[141],"show":[142],"that":[143],"method":[147],"can":[148],"not":[149],"only":[150],"improves":[151],"reliability":[152],"accuracy":[154],"recognition,":[156],"but":[157],"also":[158],"reduce":[160],"computational":[162],"complexity.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
