{"id":"https://openalex.org/W2762232490","doi":"https://doi.org/10.1109/infocom.2017.8056964","title":"Perceiving accurate CSI phases with commodity WiFi devices","display_name":"Perceiving accurate CSI phases with commodity WiFi devices","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2762232490","doi":"https://doi.org/10.1109/infocom.2017.8056964","mag":"2762232490"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2017.8056964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8056964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","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/A5004829300","display_name":"Yiwei Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Zhuo","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071050711","display_name":"Hongzi Zhu","orcid":"https://orcid.org/0000-0001-8657-5064"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzi Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911779","display_name":"Hua Xue","orcid":"https://orcid.org/0000-0001-7170-4038"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Xue","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013173652","display_name":"Shan Chang","orcid":"https://orcid.org/0000-0002-5253-2549"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Chang","raw_affiliation_strings":["Donghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]}],"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":122,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","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/T10326","display_name":"Indoor and Outdoor Localization Technologies","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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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-state-information","display_name":"Channel state information","score":0.8178742527961731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7141974568367004},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6134600043296814},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6055158972740173},{"id":"https://openalex.org/keywords/linear-phase","display_name":"Linear phase","score":0.4309500455856323},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4302329123020172},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.41050219535827637},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3506530523300171},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24708646535873413},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.14804330468177795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1288074254989624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10824811458587646}],"concepts":[{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.8178742527961731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141974568367004},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6134600043296814},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6055158972740173},{"id":"https://openalex.org/C20610874","wikidata":"https://www.wikidata.org/wiki/Q512136","display_name":"Linear phase","level":3,"score":0.4309500455856323},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4302329123020172},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.41050219535827637},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3506530523300171},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24708646535873413},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.14804330468177795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1288074254989624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10824811458587646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2017.8056964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8056964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1544232871","https://openalex.org/W1927744280","https://openalex.org/W1983301216","https://openalex.org/W1987869000","https://openalex.org/W1997834106","https://openalex.org/W2002475595","https://openalex.org/W2022739345","https://openalex.org/W2046128267","https://openalex.org/W2064081294","https://openalex.org/W2069313697","https://openalex.org/W2111986491","https://openalex.org/W2122182142","https://openalex.org/W2122237830","https://openalex.org/W2127011725","https://openalex.org/W2129045955","https://openalex.org/W2141336889","https://openalex.org/W2145417574","https://openalex.org/W2151043249","https://openalex.org/W2152342555","https://openalex.org/W2165492624","https://openalex.org/W2172292165","https://openalex.org/W2194332932","https://openalex.org/W2245903549","https://openalex.org/W2307851164","https://openalex.org/W3017873643","https://openalex.org/W6698302138"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W3033859939","https://openalex.org/W2847365777","https://openalex.org/W2519329692","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2750422482","https://openalex.org/W3125827053"],"abstract_inverted_index":{"WiFi":[0,35,43,120],"technology":[1],"has":[2],"gained":[3],"a":[4,73,143],"wide":[5,17],"prevalence":[6],"for":[7],"not":[8],"only":[9],"wireless":[10],"communication":[11],"but":[12,136],"also":[13],"pervasive":[14],"sensing.":[15],"A":[16],"variety":[18],"of":[19,25,41,48,95,107,169,180,195,200],"emerging":[20],"applications":[21],"leverage":[22],"accurate":[23,66,186],"measurements":[24,72,189],"the":[26,45,56,92,105,130,167,170,193,198,201],"Channel":[27],"State":[28],"Information":[29],"(CSI)":[30],"information":[31],"obtained":[32],"from":[33,70],"commodity":[34,42],"devices.":[36,121],"Due":[37],"to":[38,138,156],"hardware":[39],"imperfection":[40],"devices,":[44],"frequency":[46,59,68,139],"response":[47,60,69],"internal":[49],"signal":[50,132],"processing":[51],"circuit":[52],"is":[53,91],"mixed":[54],"with":[55],"real":[57],"channel":[58,67],"in":[61,176],"passband,":[62],"which":[63],"makes":[64],"deriving":[65],"CSI":[71,83,97,162,177,187],"challenging":[74],"task.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,151],"identify":[80],"non-negligible":[81],"non-linear":[82,96,109,159],"phase":[84,98,163,188],"errors":[85,110,115],"and":[86,111,129,160,197],"report":[87],"that":[88,113,185],"IQ":[89],"imbalance":[90],"root":[93],"source":[94],"errors.":[99,164],"We":[100,165],"conduct":[101],"intensive":[102],"analysis":[103],"on":[104,147],"characteristics":[106],"such":[108,114],"find":[112],"are":[116,124],"prevalent":[117],"among":[118],"various":[119],"Furthermore,":[122],"they":[123],"rather":[125],"stable":[126],"along":[127],"time":[128],"received":[131],"strength":[133],"indication":[134],"(RSSI)":[135],"sensitive":[137],"bands":[140],"used":[141],"between":[142],"transmission":[144],"pair.":[145],"Based":[146],"these":[148],"key":[149],"observations,":[150],"propose":[152],"new":[153],"calibration":[154],"methods":[155,172],"compensate":[157],"both":[158],"linear":[161],"demonstrate":[166],"efficacy":[168],"proposed":[171],"by":[173],"applying":[174],"them":[175],"splicing.":[178],"Results":[179],"extensive":[181],"real-world":[182],"experiments":[183],"indicate":[184],"can":[190],"significantly":[191],"improve":[192],"performance":[194],"splicing":[196],"stability":[199],"derived":[202],"power":[203],"delay":[204],"profiles":[205],"(PDPs).":[206]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
