{"id":"https://openalex.org/W4220848636","doi":"https://doi.org/10.1109/rws53089.2022.9719920","title":"Empirical Mode Decomposition (EMD) for Platform Motion Compensation in Remote Life Sensing Radar","display_name":"Empirical Mode Decomposition (EMD) for Platform Motion Compensation in Remote Life Sensing Radar","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4220848636","doi":"https://doi.org/10.1109/rws53089.2022.9719920"},"language":"en","primary_location":{"id":"doi:10.1109/rws53089.2022.9719920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rws53089.2022.9719920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Radio and Wireless Symposium (RWS)","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/A5007240091","display_name":"Shekh Md Mahmudul Islam","orcid":"https://orcid.org/0000-0001-8602-6970"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Shekh M. M. Islam","raw_affiliation_strings":["University of Dhaka,Electrical and Electronic Engineering Dept.,Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Dhaka,Electrical and Electronic Engineering Dept.,Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005635476","display_name":"Lupua Oba","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lupua Oba","raw_affiliation_strings":["University of Hawaii at Manoa,Electrical and Computer Engineering Dept.,USA"],"affiliations":[{"raw_affiliation_string":"University of Hawaii at Manoa,Electrical and Computer Engineering Dept.,USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076277369","display_name":"Victor M. Lubecke","orcid":"https://orcid.org/0000-0001-8407-3554"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor M. Lubecke","raw_affiliation_strings":["University of Hawaii at Manoa,Electrical and Computer Engineering Dept.,USA"],"affiliations":[{"raw_affiliation_string":"University of Hawaii at Manoa,Electrical and Computer Engineering Dept.,USA","institution_ids":["https://openalex.org/I117965899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007240091"],"corresponding_institution_ids":["https://openalex.org/I205746353"],"apc_list":null,"apc_paid":null,"fwci":0.7205,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63857177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643206477165222},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6373130083084106},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6220493316650391},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5443993210792542},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48137572407722473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46042466163635254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44921281933784485},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41771724820137024},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.41155192255973816},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3496461510658264},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13133123517036438},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08518078923225403},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08013194799423218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643206477165222},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6373130083084106},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6220493316650391},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5443993210792542},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48137572407722473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46042466163635254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44921281933784485},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41771724820137024},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.41155192255973816},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3496461510658264},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13133123517036438},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08518078923225403},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08013194799423218},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rws53089.2022.9719920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rws53089.2022.9719920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Radio and Wireless Symposium (RWS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2075959322","https://openalex.org/W2162859676","https://openalex.org/W2163232697","https://openalex.org/W2794657511","https://openalex.org/W2901790394","https://openalex.org/W3011807033","https://openalex.org/W3043711803","https://openalex.org/W3107277076","https://openalex.org/W3126938313","https://openalex.org/W3127515741","https://openalex.org/W4213147678","https://openalex.org/W6787034294"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2089603224","https://openalex.org/W1991001811","https://openalex.org/W2127575060"],"abstract_inverted_index":{"Radar":[0],"sensing":[1,16],"of":[2,33,71,81,103],"respiratory":[3],"motion":[4,34,61,83,106,113],"from":[5,36,107],"unmanned":[6],"aerial":[7],"vehicles":[8],"(UAVs)":[9],"offers":[10],"great":[11],"promise":[12],"for":[13,27,58,78],"remote":[14],"life":[15],"especially":[17],"in":[18],"post-disaster":[19],"search":[20],"and":[21,111],"rescue":[22],"applications.":[23],"One":[24],"major":[25],"challenge":[26],"this":[28],"technology":[29],"is":[30],"the":[31,37,69,72,79,94,100,104,108],"management":[32],"artifacts":[35,84],"moving":[38],"UAV":[39],"platform.":[40],"Prior":[41],"research":[42],"has":[43],"focused":[44],"on":[45],"using":[46,85,114],"an":[47,119],"adaptive":[48],"filtering":[49],"approach":[50,97],"which":[51],"requires":[52],"installing":[53],"a":[54,63],"secondary":[55],"radar":[56,88],"module":[57],"capturing":[59],"platform":[60,82,112],"as":[62],"noise":[64],"reference.":[65],"This":[66],"paper":[67],"investigates":[68],"potential":[70],"empirical":[73],"mode":[74],"decomposition":[75],"(EMD)":[76],"technique":[77],"compensation":[80],"only":[86,115],"primary":[87],"measurements.":[89],"Experimental":[90],"results":[91],"demonstrated":[92],"that":[93],"proposed":[95],"EMD":[96],"can":[98],"extract":[99],"fundamental":[101],"frequency":[102],"breathing":[105,110],"combined":[109],"one":[116],"radar,":[117],"with":[118],"accuracy":[120],"above":[121],"87%.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}