{"id":"https://openalex.org/W2998073771","doi":"https://doi.org/10.1109/icct46805.2019.8947032","title":"Adaptive Channel Estimation Algorithm Based on Modified Compressed Sensing","display_name":"Adaptive Channel Estimation Algorithm Based on Modified Compressed Sensing","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998073771","doi":"https://doi.org/10.1109/icct46805.2019.8947032","mag":"2998073771"},"language":"en","primary_location":{"id":"doi:10.1109/icct46805.2019.8947032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","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/A5113060428","display_name":"Zhiwei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Zhu","raw_affiliation_strings":["Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102004436","display_name":"Xue Xu","orcid":"https://orcid.org/0000-0002-8328-5827"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Xu","raw_affiliation_strings":["Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113060428"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.194,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54499054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2019","issue":null,"first_page":"50","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987000226974487,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9972000122070312,"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","display_name":"Channel (broadcasting)","score":0.7474510669708252},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6872504949569702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6694220304489136},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.668962836265564},{"id":"https://openalex.org/keywords/preamble","display_name":"Preamble","score":0.629865288734436},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5422166585922241},{"id":"https://openalex.org/keywords/adaptive-algorithm","display_name":"Adaptive algorithm","score":0.4311334192752838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2202776074409485},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08645027875900269}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7474510669708252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6872504949569702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694220304489136},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.668962836265564},{"id":"https://openalex.org/C2780691134","wikidata":"https://www.wikidata.org/wiki/Q1129448","display_name":"Preamble","level":3,"score":0.629865288734436},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5422166585922241},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.4311334192752838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2202776074409485},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08645027875900269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icct46805.2019.8947032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"},{"id":"mag:3042283281","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002223591757679","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.550000011920929,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1978728763","https://openalex.org/W2107757493","https://openalex.org/W2119667497","https://openalex.org/W2187797766","https://openalex.org/W2551136801","https://openalex.org/W2762625016","https://openalex.org/W2962786165"],"related_works":["https://openalex.org/W3012159084","https://openalex.org/W2353658850","https://openalex.org/W2103030473","https://openalex.org/W2363091031","https://openalex.org/W2358718393","https://openalex.org/W2375531769","https://openalex.org/W2356447287","https://openalex.org/W3197082609","https://openalex.org/W2957886718","https://openalex.org/W2394026441","https://openalex.org/W2358966346","https://openalex.org/W2795152480","https://openalex.org/W2124034612","https://openalex.org/W2183475508","https://openalex.org/W3001201675","https://openalex.org/W2166311162","https://openalex.org/W2014933333","https://openalex.org/W3101869244","https://openalex.org/W2066887166","https://openalex.org/W2902595887"],"abstract_inverted_index":{"For":[0],"traditional":[1],"channel":[2,23,61,90,95,116],"estimation":[3,20,24,62,99],"methods,":[4],"due":[5],"to":[6],"the":[7,16,34,52,55,60,68,74,80,85,105,109,112,123,132,136],"influence":[8],"of":[9,18,36,54,108,114,135],"noise":[10,53,69],"in":[11],"LS":[12],"and":[13,15,38,71,129],"MMSE":[14],"problem":[17],"poor":[19],"performance,":[21],"a":[22],"algorithm":[25,49,100,125],"based":[26,103],"on":[27,104],"preamble":[28],"modified":[29],"is":[30,101],"proposed,":[31],"which":[32],"uses":[33],"sparsity":[35,96],"channel,":[37],"proposes":[39],"an":[40,93],"adaptive":[41,94],"orthogonal":[42],"matching":[43],"tracking":[44],"compression":[45,97],"sensing.":[46],"The":[47,118],"new":[48],"firstly":[50],"estimates":[51],"received":[56,77],"signal,":[57],"then":[58,72],"processes":[59],"value":[63],"by":[64],"DFT":[65],"algorithm,":[66],"removes":[67],"component,":[70],"obtains":[73],"more":[75],"accurate":[76],"signal":[78],"for":[79,88],"compressed":[81],"sensing":[82,98],"algorithm.":[83],"At":[84],"same":[86],"time,":[87],"different":[89],"environments,":[91],"s":[92],"established":[102],"judgement":[106],"conditions":[107],"residuals":[110],"under":[111],"scenario":[113],"unknown":[115],"sparsity.":[117],"simulation":[119],"results":[120],"show":[121],"that":[122],"proposed":[124],"has":[126],"better":[127],"performance":[128,134],"can":[130],"improve":[131],"BER":[133],"system.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}