{"id":"https://openalex.org/W4389544399","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333624","title":"Delay-wise Superimposed Pilot based Compressed Sensing Channel Estimation for OTFS Systems","display_name":"Delay-wise Superimposed Pilot based Compressed Sensing Channel Estimation for OTFS Systems","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389544399","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333624"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-fall60731.2023.10333624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","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/A5100341609","display_name":"Zhihao Chen","orcid":"https://orcid.org/0000-0001-7068-7504"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Chen","raw_affiliation_strings":["Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinhua Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441949","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-9800-6472"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Electronics and Information Technology,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/channel","display_name":"Channel (broadcasting)","score":0.7337707281112671},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7245816588401794},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7103726863861084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6878048777580261},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.6491551995277405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297730207443237},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5410382747650146},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5032095313072205},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.471417635679245},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.4606912136077881},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.43074730038642883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2582317292690277},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15571317076683044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12647753953933716}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7337707281112671},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7245816588401794},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7103726863861084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6878048777580261},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.6491551995277405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297730207443237},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5410382747650146},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5032095313072205},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.471417635679245},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.4606912136077881},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.43074730038642883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2582317292690277},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15571317076683044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12647753953933716},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-fall60731.2023.10333624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1966946151","https://openalex.org/W2888002205","https://openalex.org/W3040500704","https://openalex.org/W3172410657","https://openalex.org/W3200021459","https://openalex.org/W4226460038","https://openalex.org/W4237723843","https://openalex.org/W4296339014","https://openalex.org/W4319338449","https://openalex.org/W4376480821","https://openalex.org/W4376480865"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W4319793311","https://openalex.org/W2262109992","https://openalex.org/W2241396314","https://openalex.org/W2436826437"],"abstract_inverted_index":{"In":[0],"the":[1,6,22,38,52,56,59,68,72,94,118,128,137,141],"OTFS":[2],"channel":[3,78,87,131,149],"estimation":[4,82],"scheme,":[5,18,36,40],"spectral":[7],"efficiency":[8],"loss":[9],"can":[10,62],"be":[11],"mitigated":[12],"by":[13],"a":[14,31,85],"superimposed":[15,33],"pilot":[16,34],"(SP)":[17],"yet":[19],"it":[20],"compromises":[21],"peak-to-average":[23],"power":[24],"ratio":[25],"(PAPR)":[26],"performance.":[27,156],"This":[28,46],"paper":[29],"introduces":[30],"delay-wise":[32],"placement":[35],"termed":[37],"SP-DW":[39],"based":[41,92],"on":[42,93],"Zadoff-Chu":[43],"(ZC)":[44],"sequences.":[45],"scheme":[47,91,139,144],"is":[48],"designed":[49],"to":[50,102,122],"enhance":[51],"PAPR":[53],"performance":[54],"of":[55,71,130,147],"system.":[57],"Specifically,":[58],"ZC":[60],"sequences":[61],"maintain":[63],"good":[64],"mutual":[65],"incoherence":[66],"between":[67],"column":[69],"vectors":[70],"dictionary":[73,120],"matrix":[74,121],"in":[75,117,145],"compressed":[76],"sensing-based":[77],"estimation,":[79,150],"thereby":[80],"averting":[81],"failure.":[83],"Additionally,":[84],"two-step":[86],"estimator":[88],"and":[89,107,151],"iterative":[90],"multipath":[95],"matching":[96],"pursuit":[97],"(MMP)":[98],"algorithm":[99,112],"are":[100],"developed":[101],"search":[103],"for":[104],"fractional":[105,119],"delays":[106],"Doppler":[108],"shifts.":[109],"The":[110],"MMP":[111],"optimally":[113],"combines":[114],"multiple":[115],"paths":[116],"identify":[123],"sparse":[124],"candidates,":[125],"subsequently":[126],"improving":[127],"accuracy":[129],"estimation.":[132],"Simulation":[133],"results":[134],"indicate":[135],"that":[136],"proposed":[138],"outperforms":[140],"existing":[142],"SP":[143],"terms":[146],"PAPR,":[148],"bit":[152],"error":[153],"rate":[154],"(BER)":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}