{"id":"https://openalex.org/W2529540371","doi":"https://doi.org/10.1109/globalsip.2016.7905903","title":"Distributed sparsity-based bearing estimation with a swarm of cooperative agents","display_name":"Distributed sparsity-based bearing estimation with a swarm of cooperative agents","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2529540371","doi":"https://doi.org/10.1109/globalsip.2016.7905903","mag":"2529540371"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7905903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5047628893","display_name":"Dmitriy Shutin","orcid":"https://orcid.org/0000-0002-6065-6453"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dmitriy Shutin","raw_affiliation_strings":["Institute for Communications and Navigation, German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Communications and Navigation, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633936","display_name":"Siwei Zhang","orcid":"https://orcid.org/0000-0003-4390-458X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Siwei Zhang","raw_affiliation_strings":["Institute for Communications and Navigation, German Aerospace Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Communications and Navigation, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047628893"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":0.2895,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64132234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"555","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.6636861562728882},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6583889722824097},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5849858522415161},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.472500205039978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4691813290119171},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4562366008758545},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4350118041038513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43499094247817993},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41257545351982117},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3742496371269226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19419270753860474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636861562728882},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6583889722824097},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5849858522415161},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.472500205039978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4691813290119171},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4562366008758545},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4350118041038513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43499094247817993},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41257545351982117},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3742496371269226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19419270753860474},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globalsip.2016.7905903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:106292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/GlobalSIP.2016.7905903>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1524087643","https://openalex.org/W1547358136","https://openalex.org/W1961467346","https://openalex.org/W2000721204","https://openalex.org/W2024028641","https://openalex.org/W2074796812","https://openalex.org/W2098863504","https://openalex.org/W2101374845","https://openalex.org/W2103338765","https://openalex.org/W2126544388","https://openalex.org/W2135647798","https://openalex.org/W2148154358","https://openalex.org/W2170315216","https://openalex.org/W2171980229","https://openalex.org/W2565293665","https://openalex.org/W2566689065","https://openalex.org/W2964325628","https://openalex.org/W4237327280","https://openalex.org/W4244375620","https://openalex.org/W4250589301","https://openalex.org/W4285719527","https://openalex.org/W6631250155","https://openalex.org/W6674727558","https://openalex.org/W6684942582"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283","https://openalex.org/W2170656329","https://openalex.org/W3131977017","https://openalex.org/W3205823858"],"abstract_inverted_index":{"The":[0],"presented":[1],"work":[2],"discusses":[3],"a":[4,9,25,36,84],"distributed":[5],"algorithm":[6],"for":[7,121],"solving":[8],"return-to-base":[10],"problem":[11],"in":[12],"swarm":[13,16],"robotics.":[14],"A":[15],"of":[17,35,72,113,133],"cooperative":[18],"intelligent":[19],"agents":[20],"is":[21,50,66,77,111,118],"used":[22,67],"to":[23,68],"span":[24],"phased":[26],"array":[27],"and":[28,31,47,92,117],"cooperatively":[29],"detect":[30,69],"estimate":[32],"the":[33,61,70,73,90,93,109,114,131,134],"bearing":[34,48],"navigational":[37],"beacon":[38],"placed":[39],"at":[40],"an":[41],"unknown":[42],"location.":[43],"Both":[44],"signal":[45,76],"detection":[46],"estimation":[49],"solved":[51],"jointly":[52],"using":[53,83,98],"sparse":[54],"Bayesian":[55,64],"learning":[56],"with":[57,88,124],"dictionary":[58],"refinement.":[59],"In":[60],"considered":[62],"setting,":[63],"sparsity":[65],"presence":[71],"signal.":[74],"Once":[75],"detected,":[78],"its":[79],"parameters":[80],"are":[81],"estimated":[82],"gradient-based":[85],"numerical":[86],"technique,":[87],"both":[89],"gradient":[91],"cost":[94],"function":[95],"value":[96],"computed":[97],"classical":[99],"average":[100],"consensus":[101],"over":[102],"only":[103],"4":[104],"scalar":[105],"values.":[106],"As":[107],"such,":[108],"scheme":[110],"independent":[112],"network":[115],"topology":[116],"particularly":[119],"useful":[120],"communication":[122,126],"links":[123],"low":[125],"rate.":[127],"Synthetic":[128],"simulations":[129],"demonstrate":[130],"effectiveness":[132],"algorithm.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}