{"id":"https://openalex.org/W2397038726","doi":"https://doi.org/10.1109/icassp.2016.7472544","title":"Sparsity based multi-target tracking using mobile sensors","display_name":"Sparsity based multi-target tracking using mobile sensors","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2397038726","doi":"https://doi.org/10.1109/icassp.2016.7472544","mag":"2397038726"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5011809025","display_name":"Guohua Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guohua Ren","raw_affiliation_strings":["Department of EE, Univ. of Texas at Arlington, Arlington, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of EE, Univ. of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072740145","display_name":"Ioannis D. Schizas","orcid":"https://orcid.org/0000-0002-1714-5578"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis D. Schizas","raw_affiliation_strings":["Department of EE, Univ. of Texas at Arlington, Arlington, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of EE, Univ. of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048292724","display_name":"Vasileios Maroulas","orcid":"https://orcid.org/0000-0002-3412-6766"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasileios Maroulas","raw_affiliation_strings":["Department of Math, Univ. of Tennessee at Knoxville, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Math, Univ. of Tennessee at Knoxville, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011809025"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.28187688,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81775956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"4578","last_page":"4582"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375808954238892},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6343296766281128},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6158159971237183},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5892446041107178},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5538524389266968},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.55096036195755},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4888307452201843},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4628225266933441},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.44613155722618103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38692519068717957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3556118607521057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364611566066742},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32237452268600464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13716694712638855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375808954238892},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6343296766281128},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6158159971237183},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5892446041107178},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5538524389266968},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.55096036195755},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4888307452201843},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4628225266933441},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44613155722618103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38692519068717957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3556118607521057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364611566066742},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32237452268600464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13716694712638855},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1531532259","https://openalex.org/W1540764732","https://openalex.org/W1975900269","https://openalex.org/W2024415783","https://openalex.org/W2036911959","https://openalex.org/W2080572951","https://openalex.org/W2106609574","https://openalex.org/W2109416841","https://openalex.org/W2114144879","https://openalex.org/W2138019504","https://openalex.org/W2142705361","https://openalex.org/W2143670637","https://openalex.org/W2249669070","https://openalex.org/W2476934670","https://openalex.org/W2798766386","https://openalex.org/W4253383968"],"related_works":["https://openalex.org/W2156025853","https://openalex.org/W3140501048","https://openalex.org/W40584364","https://openalex.org/W3151989524","https://openalex.org/W2115388943","https://openalex.org/W1972142565","https://openalex.org/W2082490718","https://openalex.org/W2811295837","https://openalex.org/W1985370146","https://openalex.org/W3097454590","https://openalex.org/W2062207899","https://openalex.org/W2543678999","https://openalex.org/W2078124910","https://openalex.org/W2355970531","https://openalex.org/W1983596840","https://openalex.org/W2136301902","https://openalex.org/W2976439574","https://openalex.org/W2142972949","https://openalex.org/W2748796244","https://openalex.org/W1563896047"],"abstract_inverted_index":{"Sensor":[0],"mobility":[1,123],"and":[2,40,82],"sparse":[3],"sensor":[4],"data":[5],"correlations":[6],"are":[7,71],"exploited":[8],"in":[9],"this":[10],"work":[11],"for":[12],"the":[13,25,38,46,75,85,110],"problem":[14],"of":[15,27],"tracking":[16],"multiple":[17,119],"targets.":[18,48],"Sparse":[19],"matrix":[20],"decomposition":[21],"is":[22,53,92],"integrated":[23],"with":[24,37,96],"design":[26],"proper":[28,57],"kinematic":[29],"rules":[30,70],"to":[31,43,55,78,93,103],"identify":[32],"informative":[33,76],"sensors,":[34],"associate":[35],"them":[36,42],"targets":[39,87,120],"enable":[41],"follow":[44,83],"closely":[45,84],"moving":[47],"The":[49],"modified":[50],"barrier":[51],"method":[52],"employed":[54],"minimize":[56],"error":[58],"covariance":[59],"matrices":[60],"obtained":[61,72],"by":[62,121],"extended":[63],"Kalman":[64],"filtering":[65],"recursions.":[66],"Distributed":[67],"updating":[68],"recursive":[69],"enabling":[73],"only":[74,124],"sensors":[77,101],"update":[79],"their":[80],"location,":[81],"corresponding":[86],"while":[88,116],"staying":[89],"connected.":[90],"This":[91],"be":[94],"contrasted":[95],"existing":[97,114],"alternatives":[98,115],"where":[99],"all":[100],"need":[102],"move":[104],"constantly.":[105],"Numerical":[106],"tests":[107],"corroborate":[108],"that":[109],"proposed":[111],"scheme":[112],"outperforms":[113],"accurately":[117],"tracks":[118],"imposing":[122],"on":[125],"target-informative":[126],"sensors.":[127]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}