{"id":"https://openalex.org/W2997800106","doi":"https://doi.org/10.1109/access.2019.2957402","title":"An Efficient Quadratic Constrained Least Squares Localization Method for Narrow Space With Ranging Measurement","display_name":"An Efficient Quadratic Constrained Least Squares Localization Method for Narrow Space With Ranging Measurement","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2997800106","doi":"https://doi.org/10.1109/access.2019.2957402","mag":"2997800106"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2957402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957402","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926414.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926414.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101502141","display_name":"Yanjun Hu","orcid":"https://orcid.org/0000-0002-6319-176X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Hu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6319-176X","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035100354","display_name":"Xuemiao Yang","orcid":"https://orcid.org/0000-0002-1845-8066"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemiao Yang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1845-8066","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055615832","display_name":"Chunyu Yang","orcid":"https://orcid.org/0000-0002-1590-1712"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Yang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1590-1712","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011102707","display_name":"Shiyin Li","orcid":"https://orcid.org/0000-0001-9635-7079"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyin Li","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9635-7079","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1168,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48294414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"7","issue":null,"first_page":"174962","last_page":"174971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/robustness","display_name":"Robustness (evolution)","score":0.7813776731491089},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5655377507209778},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5460649728775024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5391102433204651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5094626545906067},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4878695011138916},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4546736180782318},{"id":"https://openalex.org/keywords/design-matrix","display_name":"Design matrix","score":0.44337987899780273},{"id":"https://openalex.org/keywords/quadratic-function","display_name":"Quadratic function","score":0.4396926164627075},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41802114248275757},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41120022535324097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3899112641811371},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3418189287185669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13452240824699402},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.11015638709068298}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7813776731491089},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5655377507209778},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5460649728775024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5391102433204651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094626545906067},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4878695011138916},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4546736180782318},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.44337987899780273},{"id":"https://openalex.org/C166437778","wikidata":"https://www.wikidata.org/wiki/Q50695","display_name":"Quadratic function","level":3,"score":0.4396926164627075},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41802114248275757},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41120022535324097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3899112641811371},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3418189287185669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13452240824699402},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.11015638709068298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2957402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957402","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926414.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:201a225093b7425eaa3080da96230109","is_oa":true,"landing_page_url":"https://doaj.org/article/201a225093b7425eaa3080da96230109","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 7, Pp 174962-174971 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2957402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957402","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926414.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1576565606","display_name":"\u7164\u77ff\u7efc\u91c7\u5de5\u4f5c\u9762\u8d85\u5bbd\u5e26\u4fe1\u53f7\u4f20\u64ad\u7279\u6027\u4e0e\u79fb\u52a8\u8bbe\u5907\u7cbe\u786e\u5b9a\u4f4d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771474","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/W2997800106.pdf","grobid_xml":"https://content.openalex.org/works/W2997800106.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1562910560","https://openalex.org/W1783251365","https://openalex.org/W1969724681","https://openalex.org/W1975740369","https://openalex.org/W1979537916","https://openalex.org/W1980523726","https://openalex.org/W1982596298","https://openalex.org/W2001886371","https://openalex.org/W2012197287","https://openalex.org/W2045012981","https://openalex.org/W2091582232","https://openalex.org/W2104264645","https://openalex.org/W2111383085","https://openalex.org/W2111481694","https://openalex.org/W2113744809","https://openalex.org/W2118872830","https://openalex.org/W2120350100","https://openalex.org/W2124757178","https://openalex.org/W2133353795","https://openalex.org/W2150151472","https://openalex.org/W2152079373","https://openalex.org/W2169498559","https://openalex.org/W2257080336","https://openalex.org/W2305658817","https://openalex.org/W2309512289","https://openalex.org/W2509806318","https://openalex.org/W2518668069","https://openalex.org/W2557998141","https://openalex.org/W2791914805","https://openalex.org/W3098546395","https://openalex.org/W6633627576"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2119768059"],"abstract_inverted_index":{"The":[0,65,96,122],"localization":[1,34,47,58],"algorithm":[2,59,132],"for":[3],"mobile":[4],"robots":[5],"working":[6],"in":[7,28,73,139],"narrow":[8],"space":[9],"needs":[10],"to":[11,23,60,69,160],"handle":[12],"the":[13,16,29,46,62,74,84,100,104,111,115,119,130,140,146,150,162,167,174],"scenario":[14],"that":[15,43,129],"geometric":[17,120],"shape":[18],"of":[19,31,106,125,142,149,173],"reference":[20],"nodes":[21],"tends":[22],"a":[24,54,80,89],"line,":[25],"which":[26,87,109,165],"results":[27,164],"matrix":[30,105],"least":[32,90,107],"squares":[33,91],"approaches":[35],"ill-conditioned.":[36],"Estimator":[37],"bias":[38],"becomes":[39],"an":[40],"important":[41],"factor":[42],"can":[44],"degrade":[45],"performance.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"present":[53],"fast":[55],"unbiased":[56,134],"range-based":[57],"resist":[61],"ill-conditioned":[63,112],"problem.":[64],"main":[66],"strategy":[67],"is":[68,117,133,154],"augment":[70],"objective":[71,152],"function":[72,153],"resultant":[75],"optimization":[76],"formulations":[77],"via":[78],"introducing":[79],"measurement":[81,101],"distance":[82],"into":[83],"locating":[85,126],"model,":[86],"forms":[88],"problem":[92,113],"with":[93],"cone":[94],"constrained.":[95],"proposed":[97,131,175],"model":[98],"decouples":[99],"distances":[102],"from":[103],"squares,":[108],"avoids":[110],"when":[114],"target":[116],"around":[118],"center.":[121],"closed-form":[123],"expression":[124],"position":[127],"ensures":[128],"and":[135,171],"low":[136],"computation":[137],"burden":[138],"presence":[141],"zero-mean":[143],"disturbance.":[144],"Moreover,":[145],"robustness":[147],"improvement":[148],"augmented":[151],"analyzed.":[155],"Numerical":[156],"simulations":[157],"are":[158],"used":[159],"corroborate":[161],"analytic":[163],"demonstrate":[166],"good":[168],"performance,":[169],"robustness,":[170],"fastness":[172],"method.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}