{"id":"https://openalex.org/W2783579140","doi":"https://doi.org/10.1109/access.2018.2810599","title":"Autonomous Tracking of Intermittent RF Source Using a UAV Swarm","display_name":"Autonomous Tracking of Intermittent RF Source Using a UAV Swarm","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2783579140","doi":"https://doi.org/10.1109/access.2018.2810599","mag":"2783579140"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2810599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2810599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2810599","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089508438","display_name":"Farshad Koohifar","orcid":"https://orcid.org/0000-0002-6710-1370"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farshad Koohifar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA"],"raw_orcid":"https://orcid.org/0000-0002-6710-1370","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016722903","display_name":"\u0130smail G\u00fcven\u00e7","orcid":"https://orcid.org/0000-0002-1387-6242"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ismail Guvenc","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048272917","display_name":"Mihail L. Sichitiu","orcid":"https://orcid.org/0000-0002-5186-842X"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihail L. Sichitiu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.198,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50539758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"15884","last_page":"15897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"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/T11133","display_name":"UAV Applications and Optimization","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301480531692505},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6177752017974854},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5651480555534363},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5602946877479553},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.5510351657867432},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.46265894174575806},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.41828033328056335},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4114059805870056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.391664057970047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34392356872558594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22597378492355347},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.21245327591896057},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.17653056979179382},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11399194598197937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301480531692505},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6177752017974854},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5651480555534363},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5602946877479553},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.5510351657867432},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.46265894174575806},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.41828033328056335},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4114059805870056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.391664057970047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34392356872558594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22597378492355347},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.21245327591896057},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.17653056979179382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11399194598197937},{"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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/access.2018.2810599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2810599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1801.02478","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.02478","pdf_url":"https://arxiv.org/pdf/1801.02478","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:arXiv.org:1801.02478","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1801.02478","pdf_url":"https://arxiv.org/pdf/1801.02478","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2783579140","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1801.02478.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:16ebb9fccfa5489d89141644ff902aa8","is_oa":true,"landing_page_url":"https://doaj.org/article/16ebb9fccfa5489d89141644ff902aa8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 15884-15897 (2018)","raw_type":"article"},{"id":"doi:10.48550/arxiv.1801.02478","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1801.02478","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2810599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2810599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6551427418","display_name":"PRIMARY RESEARCH AREAS: THIS PROPOSAL WILL ADDRESS THE ARMD STRATEGIC THRUST #1  \"SAFE  EFFICIENT GROWTH IN GLOBAL OPERATIONS.\" IT WILL ALSO HAVE DIRECT IMPACTS TO BOTH STRATEGIC THRUSTS #5 AND #6  AS WE WILL ILLUSTRATE IN THE STEP-A PROPOSAL. THE RESEARCH AREA IS AERONAUTICAL COMMUNICATIONS  NETWORKING  AND AIR TRAFFIC MANAGEMENT (ATM)  INCLUDING ASPECTS OF NAVIGATION AND SURVEILLANCE  FOR BOTH MANNED AND UNMANNED AIRCRAFT. SOME OF THE OUTCOMES ARE BEYOND NEXTGEN BUT OUR FOUNDATIONAL WORK WILL SURMOUNT KEY TECHNICAL CHALLENGES WITHIN THE REQUIRED 5-YEAR PERIOD. OUTCOMES OF THIS COMMUNICATIONS AND NETWORKING RESEARCH WILL ENABLE GLOBALLY AUTONOMOUS ATM  AND ENHANCE ITS FLEXIBILITY  SAFETY  CAPACITY  AND RESILIENCE. EXAMPLE OUTCOMES INCLUDE ANALYSIS AND DESIGN OF ADAPTIVE HIGH-CAPACITY MULTI-BAND LINKS  PLANNED AND OPPORTUNISTIC MULTI-MODE CONNECTIVITY  BOTH OF WHICH WILL ENHANCE ATM CAPACITY AND EFFICIENCY  AND MILLIMETER WAVE WIRELESS FOR THE UNIVERSALLY-CONNECTED AND SECURE AIRPORT (\"AIRPORT OF THINGS\")  ALL LINKED VIA PROACTIVE NAVIGATION AND SURVEILLANCE.THE OBJECTIVES ARE TO: 1) CHARACTERIZE CAPACITY AND COVERAGE OF EXISTING AVIATION BANDS (AND ADJACENT BANDS) AND TECHNOLOGIES  IDENTIFY SHORTCOMINGS AND NEAR TERM IMPROVEMENTS  AND ASSESS GROWTH POTENTIAL;2) BUILD ANALYSIS AND SIMULATION SOFTWARE TOOLBOXES TO ENABLE ASSESSMENT OF LINK&NETWORK PERFORMANCE (PHY  DLL  AND NETWORK RELIABILITY  LATENCY  ETC.); 3) CHARACTERIZE CAPACITY&EFFICIENCY POTENTIAL OF USE OF NON-AVIATION \"NODES \" EMPLOYING BOTH AVIATION AND NON-AVIATION SPECTRUM; 4) DEVELOP INTER-BAND NETWORKING CONOPS&EVALUATE ATM IMPACTS/OPPORTUNITIES FOR IMPROVED PERFORMANCE (SAFETY  SCHEDULING  ETC.); 5) CHARACTERIZE CAPACITY AND EFFICIENCY GAINS OF WIDESPREAD MILLIMETER WAVE WIRELESS AIRPORT SUBNETWORKS; MEASURE AND MODEL EXAMPLE CHANNELS AND VALIDATE PROTOTYPE SYSTEM AND AIRPORT NETWORK OPERATION; 6) DEVELOP JAMMER AND UNAUTHORIZED UAS DETECTION/LOCALIZATION TECHNIQUES  AND ADAPTIVE COMMUNICATION/NAVIGATION/SURVEILLANCE TACTICS FOR SAFE AND EFFECTUAL ATM; 7) DEVELOP SMALL UAS TESTBED TO VALIDATE MULTI-BAND AND MULTI-MODE NETWORKING PERFORMANCE; 8) DEVELOP A REALISTIC AND COMPREHENSIVE ATM SIMULATION TESTBED TO ASSESS GAINS OF MULTI-BAND/MULTI-MODE NETWORKING IN TERMS OF CAPACITY  MULTI-VEHICLE COOPERATION  ETC. 9) ASSESS PERFORMANCE OF TRULY REVOLUTIONARY TECHNOLOGIES (E.G.  OPTICAL WIRELESS  A VAST \"AEROPEDIA\" ABOARD EVERY AIRCRAFT  FREE AND ABUNDANT ENERGY SOURCES  ETC.) IN TERMS OF GAINS IN CAPACITY  FLEXIBILITY  SAFETY  ETC.","funder_award_id":"NNX17AJ94A","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G8316216195","display_name":null,"funder_award_id":"CNS-1446570","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8359605378","display_name":"CPS: Synergy: Collaborative Research: Towards Secure Networked Cyber-Physical Systems: A Theoretic Framework with Bounded Rationality","funder_award_id":"1446570","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W94093245","https://openalex.org/W1685331108","https://openalex.org/W1965392255","https://openalex.org/W2001861497","https://openalex.org/W2043605094","https://openalex.org/W2065435137","https://openalex.org/W2088897393","https://openalex.org/W2104130465","https://openalex.org/W2130379316","https://openalex.org/W2145389813","https://openalex.org/W2150135262","https://openalex.org/W2150336603","https://openalex.org/W2165133495","https://openalex.org/W2166000463","https://openalex.org/W2255265279","https://openalex.org/W2339958599","https://openalex.org/W2353126473","https://openalex.org/W2477379160","https://openalex.org/W2515298736","https://openalex.org/W2533169386","https://openalex.org/W2551928500","https://openalex.org/W2565430685","https://openalex.org/W2568372602","https://openalex.org/W2584135993","https://openalex.org/W2589492728","https://openalex.org/W2766764374","https://openalex.org/W2767285373","https://openalex.org/W2797821788","https://openalex.org/W6719985777","https://openalex.org/W6731769362","https://openalex.org/W6750628961"],"related_works":["https://openalex.org/W2963904864","https://openalex.org/W2406447757","https://openalex.org/W1969589107","https://openalex.org/W2772446063","https://openalex.org/W2359039089","https://openalex.org/W2914308046","https://openalex.org/W2068031170","https://openalex.org/W2077358020","https://openalex.org/W1524719407","https://openalex.org/W2076707163","https://openalex.org/W2538273182","https://openalex.org/W2088050092","https://openalex.org/W2965642309","https://openalex.org/W2092820915","https://openalex.org/W2011528304","https://openalex.org/W1511274691","https://openalex.org/W3012223939","https://openalex.org/W3150198926","https://openalex.org/W2969725639","https://openalex.org/W2380708888"],"abstract_inverted_index":{"The":[0,47],"localization":[1,79,102],"of":[2,14,57,71,95,156],"a":[3,12,40,106,113,124,134],"radio-frequency":[4],"transmitter":[5],"with":[6,20,39],"intermittent":[7],"transmissions":[8],"is":[9],"considered":[10],"via":[11],"group":[13,27],"unmanned":[15],"aerial":[16],"vehicles":[17],"(UAVs)":[18],"equipped":[19],"omnidirectional":[21],"received":[22],"signal":[23],"strength":[24],"sensors.":[25],"This":[26],"embarks":[28],"on":[29],"an":[30,154],"autonomous":[31],"patrol":[32],"to":[33,75],"localize":[34],"and":[35,65,97,112,133,158],"track":[36],"the":[37,58,68,72,101,118,143,149],"target":[38,59],"specified":[41],"accuracy,":[42],"as":[43,45],"quickly":[44],"possible.":[46],"challenge":[48],"can":[49],"be":[50],"decomposed":[51],"into":[52],"two":[53,91],"stages:":[54],"1)":[55],"estimation":[56,83],"position":[60],"given":[61,81],"previous":[62],"measurements":[63],"(localization)":[64],"2)":[66],"planning":[67,120,132,147,152],"future":[69],"trajectory":[70],"tracking":[73],"UAVs":[74],"get":[76],"lower":[77,129],"expected":[78],"error":[80],"current":[82],"(path":[84],"planning).":[85],"For":[86,100,117],"each":[87],"stage,":[88,103,121],"we":[89,104,122],"compare":[90,105,123],"algorithms":[92],"in":[93],"terms":[94],"performance":[96],"computational":[98],"load.":[99],"detection-based":[107,164],"extended":[108],"Kalman":[109],"filter":[110],"(EKF)":[111],"recursive":[114,159],"Bayesian":[115,160],"estimator.":[116],"path":[119,131,137,146,151],"steepest":[125,144],"descent":[126,145],"posterior":[127],"Cramer\u2013Rao":[128],"bound":[130],"bioinspired":[135,150],"heuristic":[136],"planning.":[138],"Our":[139],"results":[140],"show":[141],"that":[142],"outperforms":[148,163],"by":[153],"order":[155],"magnitude,":[157],"estimator":[161],"narrowly":[162],"EKF.":[165]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}