{"id":"https://openalex.org/W3136104205","doi":"https://doi.org/10.1109/ccwc51732.2021.9376172","title":"Modified Gram Schmidt Based Chaotic Matrix for Compressive Sensing in Cognitive Radio","display_name":"Modified Gram Schmidt Based Chaotic Matrix for Compressive Sensing in Cognitive Radio","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3136104205","doi":"https://doi.org/10.1109/ccwc51732.2021.9376172","mag":"3136104205"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc51732.2021.9376172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5049227709","display_name":"Hadeel S. Abed","orcid":"https://orcid.org/0000-0002-8220-7835"},"institutions":[{"id":"https://openalex.org/I56409017","display_name":"Nahrain University","ror":"https://ror.org/05v2p9075","country_code":"IQ","type":"education","lineage":["https://openalex.org/I56409017"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hadeel S. Abed","raw_affiliation_strings":["Al-Nahrain University, College of Information Engineering, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Al-Nahrain University, College of Information Engineering, Baghdad, Iraq","institution_ids":["https://openalex.org/I56409017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044262257","display_name":"Hikmat N. Abdullah","orcid":"https://orcid.org/0000-0002-1133-2057"},"institutions":[{"id":"https://openalex.org/I56409017","display_name":"Nahrain University","ror":"https://ror.org/05v2p9075","country_code":"IQ","type":"education","lineage":["https://openalex.org/I56409017"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hikmat N. Abdullah","raw_affiliation_strings":["Al-Nahrain University, College of Information Engineering, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Al-Nahrain University, College of Information Engineering, Baghdad, Iraq","institution_ids":["https://openalex.org/I56409017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56409017"],"apc_list":null,"apc_paid":null,"fwci":0.5346,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59206775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1360","last_page":"1365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11873","display_name":"PAPR reduction in OFDM","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/cognitive-radio","display_name":"Cognitive radio","score":0.6944198608398438},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.693875789642334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6207253336906433},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"Mutual coherence","score":0.5842363834381104},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5615479946136475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5494862198829651},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5353648662567139},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5334043502807617},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.49243220686912537},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43534326553344727},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4194212853908539},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.3716661036014557},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3295425772666931},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3249148726463318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30104050040245056},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27632462978363037},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.25650906562805176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1819935142993927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1786249876022339},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16171517968177795},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09132742881774902}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6944198608398438},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.693875789642334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6207253336906433},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.5842363834381104},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5615479946136475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5494862198829651},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5353648662567139},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5334043502807617},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.49243220686912537},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43534326553344727},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4194212853908539},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3716661036014557},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3295425772666931},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3249148726463318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30104050040245056},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27632462978363037},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.25650906562805176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1819935142993927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1786249876022339},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16171517968177795},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09132742881774902},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc51732.2021.9376172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","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":33,"referenced_works":["https://openalex.org/W1981745143","https://openalex.org/W2074716865","https://openalex.org/W2140506330","https://openalex.org/W2157715872","https://openalex.org/W2411122105","https://openalex.org/W2466322703","https://openalex.org/W2610954028","https://openalex.org/W2738756939","https://openalex.org/W2767289158","https://openalex.org/W2785833772","https://openalex.org/W2799561125","https://openalex.org/W2806231826","https://openalex.org/W2806837149","https://openalex.org/W2809017213","https://openalex.org/W2810254971","https://openalex.org/W2906953153","https://openalex.org/W2907930484","https://openalex.org/W2939392446","https://openalex.org/W2942385858","https://openalex.org/W2948996303","https://openalex.org/W2973527910","https://openalex.org/W2999735553","https://openalex.org/W2999869736","https://openalex.org/W3084845485","https://openalex.org/W3088372983","https://openalex.org/W3213078195","https://openalex.org/W6683239189","https://openalex.org/W6748181860","https://openalex.org/W6757905320","https://openalex.org/W6763395649","https://openalex.org/W6768141495","https://openalex.org/W6773049400","https://openalex.org/W6803817506"],"related_works":["https://openalex.org/W2117029045","https://openalex.org/W2013554099","https://openalex.org/W2767832924","https://openalex.org/W2904632759","https://openalex.org/W2938353867","https://openalex.org/W4310679452","https://openalex.org/W3135825101","https://openalex.org/W2810730439","https://openalex.org/W1922757677","https://openalex.org/W2027740031"],"abstract_inverted_index":{"Cognitive":[0],"Radio":[1],"(CR)":[2],"is":[3,16,88,115,162],"a":[4,17,39,98],"wireless":[5],"technology":[6],"for":[7,45],"solving":[8],"the":[9,24,28,85,135,159],"spectrum":[10,40],"scarcity":[11],"problem.":[12],"Wideband":[13],"Spectrum":[14],"sensing":[15,33,41,86,99,119,191,218],"first":[18],"step":[19],"to":[20,90,131,138,144,216],"be":[21,36,82],"done":[22],"and":[23,56,128,150,167,169,196,210],"most":[25],"challenging":[26],"in":[27,43,74,147],"next":[29],"generation":[30],"CR.":[31],"Compressive":[32],"(CS)":[34],"can":[35,81],"used":[37,66,143],"as":[38,179],"technique":[42],"CR":[44],"wideband":[46],"spectrum.":[47],"CS":[48,75,80,156,187],"consists":[49],"of":[50,61,79,140,155],"three":[51],"stages:":[52],"sparse":[53],"representation,":[54],"encoding":[55,68],"recovery":[57,62,180],"based":[58,107,157,188],"on":[59,108,158,189],"one":[60],"algorithms.":[63],"Sensing":[64],"matrix":[65,87,100,110,120,142,161,192],"by":[67],"stage":[69],"has":[70,121],"an":[71],"important":[72],"role":[73],"performance.":[76],"Best":[77],"performance":[78,154],"produced":[83],"when":[84],"designed":[89],"have":[91],"low":[92,122,200],"mutual":[93],"coherence.":[94],"In":[95],"this":[96],"paper,":[97],"using":[101,164,177],"Modified":[102],"Gram":[103],"Schmidt":[104],"(MGS)":[105],"algorithm":[106],"chaotic":[109,141,175],"created":[111],"from":[112,133],"logistic":[113],"map":[114],"proposed.":[116],"The":[117,153,182],"proposed":[118,160,190],"reconstruction":[123],"error,":[124],"high":[125,129,206],"compression":[126,207],"ratio,":[127],"immunity":[130],"attackers":[132],"outside":[134],"network":[136],"due":[137],"sensitivity":[139],"slight":[145],"changes":[146],"control":[148],"parameters":[149],"initial":[151],"values.":[152,202],"measured":[163],"absolute":[165,195],"error":[166],"MSE":[168,197],"evaluated":[170],"through":[171],"comparisons":[172],"with":[173],"existing":[174,217],"matrices":[176],"CoSaMP":[178],"algorithm.":[181],"simulation":[183],"results":[184],"show":[185],"that":[186],"significantly":[193],"reduces":[194],"errors":[198],"at":[199],"SNR":[201],"Furthermore,":[203],"it":[204],"provides":[205],"under":[208],"AWGN":[209],"Rayleigh":[211],"multipath":[212],"fading":[213],"channels":[214],"compared":[215],"matrices.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}