{"id":"https://openalex.org/W4392931596","doi":"https://doi.org/10.1109/icassp48485.2024.10448298","title":"Kalman Filtering With Unlimited Sensing","display_name":"Kalman Filtering With Unlimited Sensing","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392931596","doi":"https://doi.org/10.1109/icassp48485.2024.10448298"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100357140","display_name":"Hongwei Wang","orcid":"https://orcid.org/0000-0002-3385-7284"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102127179","display_name":"Xi Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365817","display_name":"Hongbin Li","orcid":"https://orcid.org/0000-0003-1453-847X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Li","raw_affiliation_strings":["Stevens Institute of Technology,Hoboken,USA,07030"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Hoboken,USA,07030","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100357140"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.1822,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88511047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9826","last_page":"9830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/kalman-filter","display_name":"Kalman filter","score":0.8260987401008606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444766521453857},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5153036117553711},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5083038210868835},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5080084800720215},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.47956985235214233},{"id":"https://openalex.org/keywords/reset","display_name":"Reset (finance)","score":0.45823433995246887},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.42884552478790283},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.4259633719921112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3076295256614685},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.28023016452789307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22783353924751282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06931394338607788}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8260987401008606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444766521453857},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5153036117553711},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5083038210868835},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5080084800720215},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.47956985235214233},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.45823433995246887},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.42884552478790283},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.4259633719921112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3076295256614685},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28023016452789307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22783353924751282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06931394338607788},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1749494163","https://openalex.org/W1976741337","https://openalex.org/W2097009900","https://openalex.org/W2097527372","https://openalex.org/W2105934661","https://openalex.org/W2160337655","https://openalex.org/W2218617828","https://openalex.org/W2781672906","https://openalex.org/W2802183119","https://openalex.org/W2886711647","https://openalex.org/W2944333051","https://openalex.org/W3192967528","https://openalex.org/W4214871684","https://openalex.org/W4236855809"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2165154062","https://openalex.org/W2992846269","https://openalex.org/W1488948656","https://openalex.org/W3149300812","https://openalex.org/W1605296084","https://openalex.org/W2071283406","https://openalex.org/W1493680690","https://openalex.org/W2726969495"],"abstract_inverted_index":{"In":[0],"this":[1,61],"paper,":[2],"we":[3,51,70],"consider":[4],"state":[5,107],"estimation":[6,68,108],"in":[7,40,109],"the":[8,35,46,49,58,83,92,110],"Kalman":[9,75],"filtering":[10,76],"framework":[11],"with":[12,23,34,98],"unlimited":[13],"sensing":[14],"measurements":[15],"(USMs),":[16],"which":[17],"are":[18],"obtained":[19],"from":[20],"sensors":[21],"equipped":[22],"a":[24,41,53,64,72],"self-reset":[25],"analog-to-digital":[26],"(SR-ADC).":[27],"SR-ADC":[28],"was":[29],"recently":[30],"introduced":[31],"to":[32,91,96],"deal":[33,97],"saturation":[36],"issue":[37],"frequently":[38],"encountered":[39],"conventional":[42,93],"ADC.":[43],"To":[44],"tackle":[45],"nonlinearity":[47],"of":[48,57,112],"USM,":[50],"present":[52],"unique":[54],"decomposition":[55],"property":[56,62],"USM.":[59],"Leveraging":[60],"and":[63],"multiple":[65],"model":[66],"adaptive":[67],"strategy,":[69],"propose":[71],"novel":[73],"USF-based":[74],"(KF-USM)":[77],"algorithm.":[78],"Numerical":[79],"results":[80],"reveal":[81],"that":[82],"proposed":[84],"KF-USM":[85],"filter":[86],"is":[87],"an":[88],"effective":[89],"alternative":[90],"ADC-based":[94],"KF":[95],"high":[99],"dynamic":[100],"range":[101],"input":[102],"signals,":[103],"offering":[104],"more":[105],"accurate":[106],"presence":[111],"saturation.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
