{"id":"https://openalex.org/W2918876057","doi":"https://doi.org/10.1109/globalsip.2018.8646519","title":"Hybrid Wireless Localization via Complex-domain Isometric Embedding","display_name":"Hybrid Wireless Localization via Complex-domain Isometric Embedding","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2918876057","doi":"https://doi.org/10.1109/globalsip.2018.8646519","mag":"2918876057"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Giuseppe Abreu","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102973912","display_name":"Alireza Ghods","orcid":"https://orcid.org/0000-0002-7305-0637"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alireza Ghods","raw_affiliation_strings":["Jacobs University Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17408018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"75"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6614913940429688},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6265169978141785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070868372917175},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5622907876968384},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.521632969379425},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5101630687713623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.454324871301651},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4337385594844818},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4312288463115692},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.4262259602546692},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4156002700328827},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4108901619911194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2951773405075073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29131388664245605},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.20684599876403809},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14377284049987793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12056100368499756}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6614913940429688},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6265169978141785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070868372917175},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5622907876968384},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.521632969379425},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5101630687713623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.454324871301651},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4337385594844818},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4312288463115692},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.4262259602546692},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4156002700328827},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4108901619911194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2951773405075073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29131388664245605},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.20684599876403809},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14377284049987793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12056100368499756},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1561337879","https://openalex.org/W1898843043","https://openalex.org/W1938839163","https://openalex.org/W1969698720","https://openalex.org/W1981745143","https://openalex.org/W1985936705","https://openalex.org/W1993436046","https://openalex.org/W2041256929","https://openalex.org/W2046245205","https://openalex.org/W2103542269","https://openalex.org/W2123792622","https://openalex.org/W2127684052","https://openalex.org/W2144730813","https://openalex.org/W2148680228","https://openalex.org/W2155740812","https://openalex.org/W2344294642","https://openalex.org/W2400319222","https://openalex.org/W2401594211","https://openalex.org/W2479500547","https://openalex.org/W2557998141","https://openalex.org/W2593259116","https://openalex.org/W2597503451","https://openalex.org/W2603257506","https://openalex.org/W2612174677","https://openalex.org/W2624097208","https://openalex.org/W2963395003","https://openalex.org/W6739054180"],"related_works":["https://openalex.org/W2072016134","https://openalex.org/W2351168932","https://openalex.org/W2465690287","https://openalex.org/W2108143034","https://openalex.org/W2376389741","https://openalex.org/W1997850251","https://openalex.org/W2084549431","https://openalex.org/W913430005","https://openalex.org/W1509695971","https://openalex.org/W1985021129"],"abstract_inverted_index":{"We":[0],"revisit":[1],"the":[2,18,28,45,65,68,73],"super":[3],"multidimensional":[4],"scaling":[5],"(SMDS)":[6],"wireless":[7],"localization":[8],"algorithm":[9],"first":[10],"proposed":[11],"a":[12,41,49,55],"decade":[13],"ago,":[14],"recasting":[15],"it":[16],"onto":[17],"complex-domain":[19,57],"<sup":[20],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[22],".":[23],"Under":[24],"this":[25],"new":[26,56],"formulation,":[27],"edge":[29],"kernel":[30],"which":[31,60],"carries":[32],"both":[33],"angle":[34],"and":[35,39,72],"distance":[36],"information":[37,79],"simultaneously":[38],"plays":[40],"central":[42],"role":[43],"in":[44,54],"SMDS":[46,58],"algorithm,":[47],"becomes":[48],"complex-valued":[50],"rank-one":[51],"matrix,":[52],"resulting":[53],"framework":[59],"yields":[61],"several":[62],"advantages":[63],"over":[64],"original,":[66],"including":[67],"elimination":[69],"of":[70,75],"redundancy":[71],"enhancement":[74],"conditions":[76],"to":[77],"handle":[78],"erasure.":[80]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}