{"id":"https://openalex.org/W4389776799","doi":"https://doi.org/10.1109/tcomm.2023.3343408","title":"Blind Recognition of BCH and RS Codes With Small Samples Intercepted Bitstream","display_name":"Blind Recognition of BCH and RS Codes With Small Samples Intercepted Bitstream","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389776799","doi":"https://doi.org/10.1109/tcomm.2023.3343408"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2023.3343408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2023.3343408","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","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/A5100683300","display_name":"Yanyan Chang","orcid":"https://orcid.org/0000-0002-4403-9877"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Chang","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4403-9877","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441591","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-2601-3198"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2601-3198","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079347067","display_name":"Hao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3175-887X","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416804","display_name":"Yanyan Liu","orcid":"https://orcid.org/0000-0001-8488-5480"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Liu","raw_affiliation_strings":["College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8488-5480","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100683300"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":2.2862,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8951478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"72","issue":"4","first_page":"1925","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9832000136375427,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9832000136375427,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9740999937057495,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/bch-code","display_name":"BCH code","score":0.5916027426719666},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.5784270167350769},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.566304087638855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5606708526611328},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5546445250511169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5515775084495544},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.4542927145957947},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4473862648010254},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3904295563697815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.343852162361145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3227367103099823},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16024237871170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15796947479248047},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.15029209852218628}],"concepts":[{"id":"https://openalex.org/C42276685","wikidata":"https://www.wikidata.org/wiki/Q795705","display_name":"BCH code","level":3,"score":0.5916027426719666},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.5784270167350769},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.566304087638855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5606708526611328},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5546445250511169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5515775084495544},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.4542927145957947},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4473862648010254},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3904295563697815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.343852162361145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3227367103099823},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16024237871170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15796947479248047},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.15029209852218628}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2023.3343408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2023.3343408","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1963672655","https://openalex.org/W2017297784","https://openalex.org/W2034334290","https://openalex.org/W2038157520","https://openalex.org/W2111349746","https://openalex.org/W2131418871","https://openalex.org/W2136068867","https://openalex.org/W2159021452","https://openalex.org/W2189510460","https://openalex.org/W2294955075","https://openalex.org/W2340118409","https://openalex.org/W2345644134","https://openalex.org/W2593101895","https://openalex.org/W2620575490","https://openalex.org/W2790858236","https://openalex.org/W2793186576","https://openalex.org/W2886755053","https://openalex.org/W2896340553","https://openalex.org/W2904899062","https://openalex.org/W2907601475","https://openalex.org/W2921492197","https://openalex.org/W2936657744","https://openalex.org/W2964277793","https://openalex.org/W2967747697","https://openalex.org/W2976134719","https://openalex.org/W3011692693","https://openalex.org/W3089238900","https://openalex.org/W3130097289","https://openalex.org/W3183987769","https://openalex.org/W3196531764","https://openalex.org/W4285239800","https://openalex.org/W6687527206"],"related_works":["https://openalex.org/W2577537206","https://openalex.org/W2066694005","https://openalex.org/W4289655494","https://openalex.org/W1984351496","https://openalex.org/W2545896082","https://openalex.org/W2115358448","https://openalex.org/W2122033380","https://openalex.org/W2886957319","https://openalex.org/W2171154110","https://openalex.org/W2162726981"],"abstract_inverted_index":{"In":[0],"non-cooperative":[1],"communication":[2],"systems,":[3],"effective":[4],"parameter":[5],"identification":[6],"with":[7,17,42,160],"small":[8,149],"samples":[9],"intercepted":[10,34,185],"bitstream":[11,35],"is":[12,30,36,45,55,71,95,108,145,169],"a":[13,20,58,105],"major":[14],"challenge.":[15],"Faced":[16],"this":[18],"demand,":[19],"solution":[21],"to":[22,63,97,110,172,175],"blind":[23],"recognition":[24,79,113,121,167],"for":[25,73,148],"BCH":[26],"and":[27,38,77,100,104],"RS":[28],"codes":[29],"presented.":[31],"Firstly,":[32],"the":[33,39,52,64,68,74,82,87,92,112,117,132,138,141,153,166,176,184],"analyzed,":[37],"optimal":[40,53,93,142],"code-set":[41,54,94],"high":[43],"reliability":[44],"selected":[46],"by":[47,120],"channel":[48,159],"soft":[49],"information.":[50],"Secondly,":[51],"cycled":[56],"into":[57],"pseudo":[59],"cyclic":[60],"matrix":[61],"according":[62],"algebraic":[65],"structure":[66],"of":[67,91,125,134,140,183],"codewords,":[69],"which":[70,144],"employed":[72],"code":[75,88],"length":[76],"synchronization":[78],"based":[80],"on":[81,131,137],"improved":[83],"rank":[84],"criterion.":[85],"Finally,":[86],"spectrum":[89],"analysis":[90],"performed":[96],"complete":[98],"primitive":[99],"generator":[101],"polynomial":[102],"recognition,":[103],"recoding":[106],"operation":[107],"proposed":[109,118],"judge":[111],"performance.":[114],"Simulations":[115],"validate":[116],"algorithms":[119],"probability":[122,168],"in":[123],"terms":[124],"different":[126],"parameters,":[127],"it":[128],"hardly":[129],"depends":[130],"number":[133],"codewords":[135,186],"but":[136],"accuracy":[139],"code-set,":[143],"especially":[146],"suitable":[147],"sample":[150],"datasets.":[151],"Under":[152],"Additive":[154],"White":[155],"Gaussian":[156],"Noise":[157],"(AWGN)":[158],"Binary":[161],"Phase-Shift":[162],"Keying":[163],"(BPSK)":[164],"modulation,":[165],"still":[170],"comparable":[171],"or":[173],"superior":[174],"existing":[177],"schemes,":[178],"even":[179],"if":[180],"only":[181],"one-twentieth":[182],"are":[187],"used.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}