{"id":"https://openalex.org/W4405723505","doi":"https://doi.org/10.3390/rs16244779","title":"Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction","display_name":"Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction","publication_year":2024,"publication_date":"2024-12-21","ids":{"openalex":"https://openalex.org/W4405723505","doi":"https://doi.org/10.3390/rs16244779"},"language":"en","primary_location":{"id":"doi:10.3390/rs16244779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244779","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4779/pdf?version=1734779722","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/24/4779/pdf?version=1734779722","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057664475","display_name":"Aoya Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoya Wang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460377","display_name":"Jing Lu","orcid":"https://orcid.org/0000-0001-7812-2700"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765485","display_name":"Shenghua Zhou","orcid":"https://orcid.org/0000-0002-9271-6633"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenghua Zhou","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102973613","display_name":"Linhai Wang","orcid":"https://orcid.org/0000-0002-5537-7898"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhai Wang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100765485"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3559259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"24","first_page":"4779","last_page":"4779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.998199999332428,"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":0.9968000054359436,"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":0.7374235987663269},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.547947883605957},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5250403881072998},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4757140278816223},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4694993495941162},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4417099356651306},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4241000711917877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3908540606498718},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34215861558914185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3407291769981384},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14776965975761414},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1378961205482483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374235987663269},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.547947883605957},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5250403881072998},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4757140278816223},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4694993495941162},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4417099356651306},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4241000711917877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3908540606498718},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34215861558914185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3407291769981384},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14776965975761414},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1378961205482483},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16244779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244779","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4779/pdf?version=1734779722","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57bd1e7fb51543e9aef43a68d4b00618","is_oa":true,"landing_page_url":"https://doaj.org/article/57bd1e7fb51543e9aef43a68d4b00618","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 24, p 4779 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16244779","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16244779","pdf_url":"https://www.mdpi.com/2072-4292/16/24/4779/pdf?version=1734779722","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8378630069","display_name":null,"funder_award_id":"62371384","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405723505.pdf","grobid_xml":"https://content.openalex.org/works/W4405723505.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1501676610","https://openalex.org/W2001822944","https://openalex.org/W2015258070","https://openalex.org/W2062110917","https://openalex.org/W2063146925","https://openalex.org/W2092815860","https://openalex.org/W2097128871","https://openalex.org/W2135915867","https://openalex.org/W2145035134","https://openalex.org/W2145685677","https://openalex.org/W2161843899","https://openalex.org/W2473040437","https://openalex.org/W2500381110","https://openalex.org/W2571584329","https://openalex.org/W2586283610","https://openalex.org/W2596683455","https://openalex.org/W2624748757","https://openalex.org/W2774610582","https://openalex.org/W2805012156","https://openalex.org/W2806513413","https://openalex.org/W2888977140","https://openalex.org/W2904189606","https://openalex.org/W2916147324","https://openalex.org/W2941153810","https://openalex.org/W2964207115","https://openalex.org/W2999287394","https://openalex.org/W3016436174","https://openalex.org/W3099909623","https://openalex.org/W3109178106","https://openalex.org/W3111848908","https://openalex.org/W3131653887","https://openalex.org/W3162095947","https://openalex.org/W3211430767","https://openalex.org/W4241324418","https://openalex.org/W4312545502","https://openalex.org/W4312940983","https://openalex.org/W4319781449","https://openalex.org/W4327662943","https://openalex.org/W4380905898","https://openalex.org/W4387682374","https://openalex.org/W4389934824","https://openalex.org/W4401325837","https://openalex.org/W4402133591","https://openalex.org/W6666026435","https://openalex.org/W6786159270","https://openalex.org/W6848316998","https://openalex.org/W6850931525"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2021396365","https://openalex.org/W2099421762","https://openalex.org/W2394134009","https://openalex.org/W2530546662","https://openalex.org/W2119515433","https://openalex.org/W3041553740"],"abstract_inverted_index":{"In":[0,47],"distributed":[1,24,70,134],"radar,":[2,26],"a":[3,23,63,69,82,87,93,111,138,176],"coherent":[4,25,54,64,71,144],"system":[5],"often":[6],"gains":[7],"attention":[8],"for":[9,22,74,91,121],"its":[10,17],"higher":[11],"detection":[12,72,131,153,165,178],"potential":[13],"in":[14,35,42,80,92,105,123],"contrast":[15],"to":[16,30,49,118,128],"non-coherent":[18,94,146,171],"counterpart.":[19],"However,":[20],"even":[21],"it":[27],"is":[28,78,89,148,184],"difficult":[29],"coherently":[31],"accumulate":[32],"local":[33,43],"observations":[34,98,122],"the":[36,51,58,124,130,159,164,170,181],"searching":[37],"mode":[38],"if":[39,180],"target":[40,83,88,100],"returns":[41],"channels":[44,107],"are":[45,108],"decorrelated.":[46],"order":[48],"obtain":[50],"superiority":[52],"of":[53,62,133],"processing":[55,147],"while":[56,86],"overcoming":[57],"real":[59],"implementation":[60],"difficulties":[61],"framework,":[65],"this":[66],"paper":[67],"studies":[68],"algorithm":[73],"fusion":[75],"detection.":[76],"It":[77],"utilized":[79],"detecting":[81],"during":[84,136,167],"tracking":[85],"searched":[90],"manner.":[95],"From":[96],"historic":[97],"on":[99,151],"tracking,":[101,137,168],"relative":[102],"phase":[103,112,142,182],"delays":[104],"different":[106],"predicted":[109],"by":[110],"lock":[113],"loop":[114],"and":[115,145,169],"then":[116],"used":[117],"compensate":[119],"phases":[120],"current":[125],"frame.":[126],"Moreover,":[127],"enhance":[129],"performance":[132,179],"radar":[135],"switching":[139,160],"rule":[140],"between":[141],"prediction-based":[143],"proposed":[149],"based":[150],"their":[152],"performance.":[154],"Numerical":[155],"results":[156],"indicate":[157],"that":[158],"operation":[161,172],"can":[162,173],"improve":[163],"probability":[166],"still":[174],"provide":[175],"moderate":[177],"prediction":[183],"unreliable.":[185]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
