{"id":"https://openalex.org/W4200311611","doi":"https://doi.org/10.1109/waspaa52581.2021.9632772","title":"Spherical Harmonic Diagonal Unloading Beamforming with Ego-Noise Reduction for DOA Estimation from Autonomous Systems","display_name":"Spherical Harmonic Diagonal Unloading Beamforming with Ego-Noise Reduction for DOA Estimation from Autonomous Systems","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4200311611","doi":"https://doi.org/10.1109/waspaa52581.2021.9632772"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa52581.2021.9632772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/A5008270926","display_name":"Daniele Salvati","orcid":"https://orcid.org/0000-0002-8042-0333"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Salvati","raw_affiliation_strings":["Computer Science and Physics, University of Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science and Physics, University of Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019634521","display_name":"Carlo Drioli","orcid":"https://orcid.org/0000-0001-6091-4953"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Drioli","raw_affiliation_strings":["Computer Science and Physics, University of Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science and Physics, University of Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078277002","display_name":"Gian Luca Foresti","orcid":"https://orcid.org/0000-0002-8425-6892"},"institutions":[{"id":"https://openalex.org/I129043915","display_name":"University of Udine","ror":"https://ror.org/05ht0mh31","country_code":"IT","type":"education","lineage":["https://openalex.org/I129043915"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Luca Foresti","raw_affiliation_strings":["Computer Science and Physics, University of Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science and Physics, University of Udine, Italy","institution_ids":["https://openalex.org/I129043915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008270926"],"corresponding_institution_ids":["https://openalex.org/I129043915"],"apc_list":null,"apc_paid":null,"fwci":0.1539,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.47963224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9979000091552734,"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":0.9975000023841858,"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/beamforming","display_name":"Beamforming","score":0.6394133567810059},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5688034296035767},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5642352104187012},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5466764569282532},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.5394566655158997},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.48522233963012695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46269282698631287},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45135509967803955},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.43722572922706604},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4263516962528229},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4255457818508148},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.4143190383911133},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4111379086971283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3846856951713562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3779715299606323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1913127899169922},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17508763074874878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17168956995010376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1631297469139099},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07061401009559631},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.07008388638496399}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6394133567810059},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5688034296035767},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5642352104187012},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5466764569282532},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.5394566655158997},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.48522233963012695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46269282698631287},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45135509967803955},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.43722572922706604},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4263516962528229},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4255457818508148},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.4143190383911133},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4111379086971283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3846856951713562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3779715299606323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1913127899169922},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17508763074874878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17168956995010376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1631297469139099},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07061401009559631},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.07008388638496399},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":2,"locations":[{"id":"doi:10.1109/waspaa52581.2021.9632772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.uniud.it:11390/1220061","is_oa":false,"landing_page_url":"http://hdl.handle.net/11390/1220061","pdf_url":null,"source":{"id":"https://openalex.org/S4306401163","display_name":"Institutional Research Information System (University of Udine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129043915","host_organization_name":"University of Udine","host_organization_lineage":["https://openalex.org/I129043915"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1966081805","https://openalex.org/W1971920230","https://openalex.org/W1980293148","https://openalex.org/W2029661668","https://openalex.org/W2068815893","https://openalex.org/W2109355036","https://openalex.org/W2110403504","https://openalex.org/W2113638573","https://openalex.org/W2129501075","https://openalex.org/W2143694437","https://openalex.org/W2160525176","https://openalex.org/W2162654459","https://openalex.org/W2169633144","https://openalex.org/W2524249505","https://openalex.org/W2742299865","https://openalex.org/W2766086962","https://openalex.org/W2897675304","https://openalex.org/W2927133853","https://openalex.org/W2942465679","https://openalex.org/W2986330405","https://openalex.org/W3010658001","https://openalex.org/W3037058096","https://openalex.org/W3102187836","https://openalex.org/W6676600390","https://openalex.org/W6679329388"],"related_works":["https://openalex.org/W1879255185","https://openalex.org/W2120442551","https://openalex.org/W2769861442","https://openalex.org/W1980506188","https://openalex.org/W2900122540","https://openalex.org/W4240587264","https://openalex.org/W2043735059","https://openalex.org/W2041060376","https://openalex.org/W3119734852","https://openalex.org/W2011776247"],"abstract_inverted_index":{"A":[0],"method":[1,22],"to":[2],"improve":[3],"the":[4,33,46,57,60,70,77,109,112],"localization":[5],"of":[6,45,56,111],"a":[7,11,26,39,50,82,98,104],"sound":[8],"source":[9],"using":[10,38,81],"spherical":[12,34,100],"microphone":[13],"array":[14,101],"embedded":[15],"into":[16],"autonomous":[17],"systems":[18],"is":[19,23,66],"presented.":[20],"The":[21,54],"based":[24],"on":[25],"low-complexity":[27],"diagonal":[28,83],"unloading":[29,84],"(DU)":[30],"beamforming":[31],"in":[32,59],"harmonic":[35],"(SH)":[36],"domain":[37],"frequency":[40],"smoothing":[41],"power":[42],"transform":[43],"(FSPT)":[44],"covariance":[47,64,73],"matrices":[48],"with":[49,87,97],"novel":[51],"ego-noise":[52,58,72],"reduction.":[53],"attenuation":[55],"signal-plus-ego-noise":[61],"broadband":[62],"FSTP":[63],"matrix":[65,74],"achieved":[67],"by":[68,92],"estimating":[69],"FSPT":[71],"and":[75],"exploiting":[76],"subspace":[78],"orthogonality":[79],"property":[80],"procedure.":[85],"Experiments":[86],"controlled":[88],"real-world":[89],"recordings":[90],"performed":[91],"an":[93],"aerial":[94],"drone":[95,107],"equipped":[96],"19-microphone":[99],"while":[102],"sensing":[103],"flying":[105],"target":[106],"demonstrate":[108],"efficiency":[110],"proposed":[113],"method.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2021-12-31T00:00:00"}
