{"id":"https://openalex.org/W3144124189","doi":"https://doi.org/10.1109/tsp.2021.3071173","title":"Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network","display_name":"Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3144124189","doi":"https://doi.org/10.1109/tsp.2021.3071173","mag":"3144124189"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2021.3071173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3071173","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Signal Processing","raw_type":"journal-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/A5078098754","display_name":"Junkun Yan","orcid":"https://orcid.org/0000-0002-3828-6812"},"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":"Junkun Yan","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3828-6812","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070740204","display_name":"Jinhui Dai","orcid":"https://orcid.org/0000-0002-9693-9180"},"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":"Jinhui Dai","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9693-9180","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549750","display_name":"Wenqiang Pu","orcid":"https://orcid.org/0000-0003-1683-6948"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Pu","raw_affiliation_strings":["Shenzhen Research Institute of Big, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1683-6948","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"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":"Hongwei Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4046-163X","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075507631","display_name":"Maria Greco","orcid":"https://orcid.org/0000-0002-3804-2949"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Greco","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":71.0662,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.99862702,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"69","issue":null,"first_page":"2410","last_page":"2421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9991999864578247,"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":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973999857902527,"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":0.996999979019165,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6948709487915039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915679335594177},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5484490990638733},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4874024987220764},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4597921371459961},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.445107638835907},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4351937174797058},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4244280755519867},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4131617248058319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2662866711616516},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.24375247955322266},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1356079876422882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.127090185880661}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6948709487915039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915679335594177},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5484490990638733},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4874024987220764},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4597921371459961},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.445107638835907},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4351937174797058},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4244280755519867},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4131617248058319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2662866711616516},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.24375247955322266},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1356079876422882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.127090185880661},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2021.3071173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3071173","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1120482","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1120482","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G2658225752","display_name":null,"funder_award_id":"2020JQ-297","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G4568079371","display_name":"\u9762\u5411\u76ee\u6807\u8ddf\u8e2a\u4efb\u52a1\u7684\u5f02\u6784\u65e0\u4eba\u96c6\u7fa4\u96f7\u8fbe\u534f\u540c\u8d44\u6e90\u4f18\u5316\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4599767104","display_name":null,"funder_award_id":"201920081002","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W132901562","https://openalex.org/W1492417045","https://openalex.org/W1499137793","https://openalex.org/W1513008779","https://openalex.org/W1982087768","https://openalex.org/W1994096034","https://openalex.org/W2036368324","https://openalex.org/W2104130465","https://openalex.org/W2105693192","https://openalex.org/W2109499745","https://openalex.org/W2148095198","https://openalex.org/W2191429225","https://openalex.org/W2210084516","https://openalex.org/W2232170722","https://openalex.org/W2273425910","https://openalex.org/W2291245477","https://openalex.org/W2295652899","https://openalex.org/W2508803000","https://openalex.org/W2512867427","https://openalex.org/W2613624470","https://openalex.org/W2769907991","https://openalex.org/W2806252478","https://openalex.org/W2811404158","https://openalex.org/W2899181006","https://openalex.org/W2914779286","https://openalex.org/W2967062208","https://openalex.org/W2969495422","https://openalex.org/W3007664534","https://openalex.org/W3011460294","https://openalex.org/W3023540311","https://openalex.org/W3040421305","https://openalex.org/W3048490699","https://openalex.org/W3114888285","https://openalex.org/W4234950233","https://openalex.org/W4256260915","https://openalex.org/W4295950862","https://openalex.org/W4387688680","https://openalex.org/W6629482755","https://openalex.org/W6780564044"],"related_works":["https://openalex.org/W2756132392","https://openalex.org/W3035814349","https://openalex.org/W4285101096","https://openalex.org/W4320477335","https://openalex.org/W2518949622","https://openalex.org/W4382725876","https://openalex.org/W2084892497","https://openalex.org/W2115614142","https://openalex.org/W2275184629","https://openalex.org/W1561889708"],"abstract_inverted_index":{"In":[0],"this":[1,26,90],"paper,":[2],"a":[3,67,81,114,132,159,167],"target":[4,15,189],"capacity":[5,190],"based":[6],"resource":[7,37],"optimization":[8,85,111,175],"(TC-RO)":[9],"scheme":[10,27,79,184],"is":[11,28,152,162],"developed":[12],"for":[13,166],"multiple":[14,40],"tracking":[16],"(MTT)":[17],"application":[18],"in":[19,42],"radar":[20,193],"networks.":[21],"The":[22],"key":[23],"idea":[24],"of":[25,39,48,148,191],"to":[29,44,70,121,130,135,164,171],"coordinate":[30],"the":[31,46,49,61,72,77,109,136,145,149,172,181,188,192,198],"transmit":[32],"power":[33],"and":[34,75,83,102,124,158],"dell":[35],"time":[36],"usage":[38],"radars":[41],"order":[43],"increase":[45,187],"number":[47],"targets":[50],"that":[51,180],"can":[52,185],"be":[53],"tracked":[54],"with":[55,89,140,197],"predetermined":[56],"accuracy":[57],"requirements.":[58],"We":[59],"adopt":[60],"Bayesian":[62],"Cram\u00e9r-Rao":[63],"lower":[64],"bound":[65],"as":[66,80,113,154],"metric":[68],"function":[69],"quantify":[71],"MTT":[73],"accuracies,":[74],"build":[76],"TC-RO":[78,183],"non-smooth":[82,174],"non-convex":[84,138],"problem.":[86,176],"To":[87],"deal":[88],"problem,":[91],"we":[92,106],"design":[93],"an":[94,127,155],"efficient":[95],"three-step":[96],"solution":[97,170],"technique":[98],"which":[99],"incorporates":[100],"relaxation":[101],"fine-tuning":[103,160],"process.":[104],"Specifically,":[105],"first":[107],"relax":[108],"resulting":[110],"problem":[112,139,151],"smooth":[115],"one":[116],"by":[117],"applying":[118],"sigmoid-type":[119],"transformation":[120],"its":[122],"objective,":[123],"then":[125],"develop":[126],"appropriate":[128],"method":[129],"find":[131],"local":[133,146],"minimum":[134,147],"relaxed":[137,150],"guaranteed":[141],"convergence.":[142],"After":[143],"that,":[144],"used":[153],"initial":[156],"point":[157],"process":[161],"performed":[163],"search":[165],"reasonable":[168],"feasible":[169],"original":[173],"Simulation":[177],"results":[178],"demonstrate":[179],"proposed":[182],"greatly":[186],"network":[194],"when":[195],"compared":[196],"traditional":[199],"uniform":[200],"allocation":[201],"scheme.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":10}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}