{"id":"https://openalex.org/W2425232682","doi":"https://doi.org/10.1109/chinacom.2015.7498040","title":"Novel robust spectrum sensing in impulsive noise environment","display_name":"Novel robust spectrum sensing in impulsive noise environment","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2425232682","doi":"https://doi.org/10.1109/chinacom.2015.7498040","mag":"2425232682"},"language":"en","primary_location":{"id":"doi:10.1109/chinacom.2015.7498040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinacom.2015.7498040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Communications and Networking in China (ChinaCom)","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/A5110523956","display_name":"Kun Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yan","raw_affiliation_strings":["Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110750067","display_name":"Haiyan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Zhou","raw_affiliation_strings":["Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101422965","display_name":"Xiangli Zhang","orcid":"https://orcid.org/0000-0002-6112-9444"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Zhang","raw_affiliation_strings":["Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051215454","display_name":"Hailin Xiao","orcid":"https://orcid.org/0000-0002-8028-0107"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Xiao","raw_affiliation_strings":["Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.5739,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70219839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"766","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9988999962806702,"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":0.7835889458656311},{"id":"https://openalex.org/keywords/trimming","display_name":"Trimming","score":0.7690138220787048},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6310733556747437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6225928664207458},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5923433303833008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46702077984809875},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4381174147129059},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4259808659553528},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36145544052124023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.198868989944458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18354475498199463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16047611832618713},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.09620165824890137},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08181419968605042}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7835889458656311},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.7690138220787048},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6310733556747437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225928664207458},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5923433303833008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46702077984809875},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4381174147129059},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4259808659553528},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36145544052124023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.198868989944458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18354475498199463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16047611832618713},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.09620165824890137},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08181419968605042},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinacom.2015.7498040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinacom.2015.7498040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Conference on Communications and Networking in China (ChinaCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W1986948589","https://openalex.org/W2021004881","https://openalex.org/W2030877763","https://openalex.org/W2035088317","https://openalex.org/W2071707134","https://openalex.org/W2073282881","https://openalex.org/W2097336132","https://openalex.org/W2101840010","https://openalex.org/W2105491959","https://openalex.org/W2119837193","https://openalex.org/W2123902555","https://openalex.org/W2126169536","https://openalex.org/W2136166406","https://openalex.org/W2138304001","https://openalex.org/W2139700017","https://openalex.org/W2157990024","https://openalex.org/W2160441754","https://openalex.org/W2165023164","https://openalex.org/W2168473614","https://openalex.org/W2171523055","https://openalex.org/W3147296988","https://openalex.org/W4255230573"],"related_works":["https://openalex.org/W2467235537","https://openalex.org/W4243755427","https://openalex.org/W1493074871","https://openalex.org/W2222099502","https://openalex.org/W2128287377","https://openalex.org/W1979067309","https://openalex.org/W2375590729","https://openalex.org/W2385024427","https://openalex.org/W2978797270","https://openalex.org/W1972676838"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"novel":[4],"spectrum":[5,76],"sensing":[6,25,54,77],"scheme,":[7],"which":[8],"is":[9,17,40],"robust":[10,75],"in":[11],"the":[12,21,44,60,67,92],"presence":[13],"of":[14,46,72],"impulsive":[15,51,93],"noise,":[16,94],"proposed":[18,41,74],"to":[19,42,59,82],"meet":[20],"rigid":[22],"requirements":[23],"for":[24],"accuracy.":[26],"An":[27],"efficient":[28],"least":[29],"trimmed":[30],"square":[31],"algorithm":[32],"incorporated":[33],"with":[34,100],"an":[35],"adaptive":[36],"signal":[37,47],"trimming":[38],"scheme":[39,78,89],"eliminate":[43],"set":[45],"samples":[48],"contaminated":[49],"by":[50],"noise.":[52],"Spectrum":[53],"based":[55],"can":[56],"be":[57],"performed":[58],"denoised":[61],"data,":[62],"thereupon.":[63],"The":[64],"studies":[65],"on":[66],"theoretical":[68],"and":[69,95],"practical":[70],"aspects":[71],"our":[73,87],"are":[79],"presented.":[80],"According":[81],"Monte":[83],"Carlo":[84],"simulation":[85],"results,":[86],"new":[88],"effectively":[90],"eliminates":[91],"offers":[96],"more":[97],"robustness":[98],"compared":[99],"other":[101],"existing":[102],"methods.":[103]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
