{"id":"https://openalex.org/W3161915051","doi":"https://doi.org/10.1109/kst51265.2021.9415800","title":"Robust Null Broadening Beamforming Based on Adaptive Diagonal Loading for Look Direction Mismatch","display_name":"Robust Null Broadening Beamforming Based on Adaptive Diagonal Loading for Look Direction Mismatch","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3161915051","doi":"https://doi.org/10.1109/kst51265.2021.9415800","mag":"3161915051"},"language":"en","primary_location":{"id":"doi:10.1109/kst51265.2021.9415800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","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/A5047973414","display_name":"Raungrong Suleesathira","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Raungrong Suleesathira","raw_affiliation_strings":["King Mongkut's University of Technology,Faculty of Engineering,Department of Electronic and Telecommunication Engineeing,Bangkok,Thailand,10140"],"affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology,Faculty of Engineering,Department of Electronic and Telecommunication Engineeing,Bangkok,Thailand,10140","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047973414"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9142,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73387424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9958999752998352,"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/diagonal","display_name":"Diagonal","score":0.8152791261672974},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7037622332572937},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.6967193484306335},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.603282630443573},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5996074080467224},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5781925916671753},{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.5501466989517212},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.5109156966209412},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4639180898666382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44376638531684875},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4368763566017151},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42232105135917664},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41015857458114624},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2081621289253235},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19940069317817688},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15307071805000305},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.14993071556091309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07582265138626099},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.06309261918067932}],"concepts":[{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.8152791261672974},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7037622332572937},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.6967193484306335},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.603282630443573},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5996074080467224},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5781925916671753},{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.5501466989517212},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.5109156966209412},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4639180898666382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44376638531684875},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4368763566017151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42232105135917664},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41015857458114624},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2081621289253235},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19940069317817688},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15307071805000305},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.14993071556091309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07582265138626099},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.06309261918067932},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst51265.2021.9415800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","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":10,"referenced_works":["https://openalex.org/W2042371861","https://openalex.org/W2044000385","https://openalex.org/W2084676532","https://openalex.org/W2104236641","https://openalex.org/W2105920036","https://openalex.org/W2169198655","https://openalex.org/W2762131880","https://openalex.org/W2763203073","https://openalex.org/W2994645343","https://openalex.org/W6675988148"],"related_works":["https://openalex.org/W3013496310","https://openalex.org/W2761218246","https://openalex.org/W4225264158","https://openalex.org/W2019022680","https://openalex.org/W2242301815","https://openalex.org/W2037962720","https://openalex.org/W2793870329","https://openalex.org/W4361857251","https://openalex.org/W2158579220","https://openalex.org/W1980713804"],"abstract_inverted_index":{"The":[0,78,92],"error":[1],"in":[2,37,95],"the":[3,9,12,22,28,32,38,62,70,88,103],"look":[4],"direction":[5,47],"estimate":[6],"can":[7],"cause":[8],"mismatch":[10],"between":[11,97],"actual":[13],"and":[14,35,59,69,102,111],"presumed":[15,90],"steering":[16],"vector.":[17],"With":[18],"this":[19],"imprecise":[20],"knowledge,":[21],"mainbeam":[23],"is":[24,57,80],"shifted":[25],"leading":[26],"to":[27,43,61,115],"self-null":[29],"phenomenon":[30],"of":[31,48,84],"desired":[33],"signal":[34,114],"resulting":[36],"performance":[39],"degradation.":[40],"In":[41],"order":[42],"be":[44],"robust":[45],"against":[46],"arrival":[49],"(DOA)":[50],"mismatch,":[51],"an":[52,85],"adaptive":[53],"diagonal":[54,100,105],"loading":[55,101,106],"technique":[56,107],"proposed":[58,104],"applied":[60],"minimum":[63],"variance":[64],"distortionless":[65],"response":[66],"(MVDR)":[67],"beamformer":[68],"covariance":[71],"matrix":[72],"taper":[73],"(CMT)":[74],"null":[75],"broadening":[76],"beamforming.":[77],"adaptation":[79],"terminated":[81],"by":[82],"convergence":[83],"indicator":[86],"for":[87],"updated":[89],"DOA.":[91],"simulation":[93],"results":[94],"comparison":[96],"a":[98],"fixed":[99],"exhibits":[108],"enhanced":[109],"robustness":[110],"increased":[112],"output":[113],"interference":[116],"plus":[117],"noise":[118],"ratio":[119],"(SINR).":[120]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}