{"id":"https://openalex.org/W4301184572","doi":"https://doi.org/10.1109/icccworkshops55477.2022.9896637","title":"Residual Learning based Channel Estimation for OTFS system","display_name":"Residual Learning based Channel Estimation for OTFS system","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4301184572","doi":"https://doi.org/10.1109/icccworkshops55477.2022.9896637"},"language":"en","primary_location":{"id":"doi:10.1109/icccworkshops55477.2022.9896637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops55477.2022.9896637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100624318","display_name":"Qingyu Li","orcid":"https://orcid.org/0000-0003-4638-4401"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Li","raw_affiliation_strings":["School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014382593","display_name":"Yi Gong","orcid":"https://orcid.org/0000-0002-6291-8429"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Gong","raw_affiliation_strings":["School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059015552","display_name":"Fanke Meng","orcid":"https://orcid.org/0009-0002-0385-6800"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanke Meng","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676254","display_name":"Zhongjie Li","orcid":"https://orcid.org/0000-0003-3570-3286"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjie Li","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012358854","display_name":"Linlong Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlong Miao","raw_affiliation_strings":["School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050256911","display_name":"Zhan Xu","orcid":"https://orcid.org/0000-0001-5301-9600"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Xu","raw_affiliation_strings":["School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Communication Engineering, Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University,China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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/T11248","display_name":"Advanced Power Amplifier Design","score":0.9851999878883362,"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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9764999747276306,"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/robustness","display_name":"Robustness (evolution)","score":0.6849737763404846},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.649746835231781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5742229223251343},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5553374886512756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5495324730873108},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.45110100507736206},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4507078528404236},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.442778617143631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3955595791339874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38209980726242065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1518489122390747},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13814082741737366},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07289764285087585}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6849737763404846},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.649746835231781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5742229223251343},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5553374886512756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5495324730873108},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.45110100507736206},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4507078528404236},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.442778617143631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3955595791339874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38209980726242065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1518489122390747},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13814082741737366},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07289764285087585},{"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccworkshops55477.2022.9896637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops55477.2022.9896637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","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":23,"referenced_works":["https://openalex.org/W2612254130","https://openalex.org/W2888002205","https://openalex.org/W2936900179","https://openalex.org/W2945858715","https://openalex.org/W2950013137","https://openalex.org/W2996956941","https://openalex.org/W3008026851","https://openalex.org/W3015447018","https://openalex.org/W3020652653","https://openalex.org/W3035528699","https://openalex.org/W3088034552","https://openalex.org/W3091391704","https://openalex.org/W3129254582","https://openalex.org/W3167779900","https://openalex.org/W3172410657","https://openalex.org/W3197359269","https://openalex.org/W3200797369","https://openalex.org/W3203702019","https://openalex.org/W4313177124","https://openalex.org/W6737187475","https://openalex.org/W6776592715","https://openalex.org/W6788068311","https://openalex.org/W6800943528"],"related_works":["https://openalex.org/W4205427372","https://openalex.org/W1947057263","https://openalex.org/W1995041532","https://openalex.org/W2355447608","https://openalex.org/W2053630710","https://openalex.org/W2167164662","https://openalex.org/W2087799064","https://openalex.org/W1482418973","https://openalex.org/W2383612990","https://openalex.org/W2376212674"],"abstract_inverted_index":{"Orthogonal":[0],"time":[1],"frequency":[2],"space":[3],"(OTFS)":[4],"systems":[5],"can":[6,178],"effectively":[7],"balance":[8],"the":[9,14,21,30,41,69,86,112,127,130,139,151,160,172],"Doppler":[10],"shift":[11],"by":[12],"transforming":[13],"channel":[15,28,45,61,74,96,121,175],"with":[16],"a":[17,26,56,103],"drastic":[18],"change":[19],"in":[20,29,50,68],"time-frequency":[22],"(TF)":[23],"domain":[24],"into":[25],"stable":[27],"delay-Doppler":[31],"(DD)":[32],"domain.":[33,71],"In":[34,53],"order":[35],"to":[36,93,109,116,181],"take":[37],"full":[38],"advantage":[39,84],"of":[40,85,129,153],"OTFS":[42,51,67,120,155],"system,":[43],"accurate":[44,119],"estimation":[46,62,75,97,114,176],"results":[47,115,124],"are":[48],"critical":[49],"systems.":[52],"this":[54],"paper,":[55],"model-driven":[57,132],"deep":[58,104],"learning":[59,106],"(DL)-based":[60],"technique":[63],"is":[64,135,145,157,166],"proposed":[65,131,173],"for":[66],"DD":[70],"The":[72,80,99],"presented":[73],"scheme":[76,134,177],"has":[77],"two":[78],"parts.":[79],"first":[81],"part":[82,101],"takes":[83],"traditional":[87,140],"orthogonal":[88],"matching":[89],"pursuit":[90],"(OMP)":[91],"algorithm":[92],"generate":[94],"preliminary":[95],"results.":[98],"second":[100],"uses":[102],"residual":[105],"network":[107],"(ResNet)":[108],"further":[110],"process":[111],"rough":[113],"get":[117],"an":[118,154],"estimation.":[122],"Simulation":[123],"demonstrate":[125],"that":[126,171],"performance":[128,148],"ResNet-based":[133,174],"significantly":[136],"better":[137],"than":[138],"OMP":[141],"algorithm,":[142],"and":[143,159,184],"there":[144],"about":[146],"6dB":[147],"gain":[149],"when":[150],"size":[152],"frame":[156],"128\u00d716":[158],"normalized":[161],"mean":[162],"squared":[163],"error":[164],"(NMSE)":[165],"0.00173.":[167],"It":[168],"also":[169],"proves":[170],"be":[179],"applied":[180],"different":[182],"scenarios":[183],"achieve":[185],"good":[186],"robustness.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}