{"id":"https://openalex.org/W1604223552","doi":"https://doi.org/10.1109/icassp.2005.1416197","title":"Geometry-Adaptive Data Compression For TDOA/FDOA Location","display_name":"Geometry-Adaptive Data Compression For TDOA/FDOA Location","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1604223552","doi":"https://doi.org/10.1109/icassp.2005.1416197","mag":"1604223552"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100387253","display_name":"Mo Chen","orcid":"https://orcid.org/0000-0003-1841-7608"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mo Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State University of New York, Binghamton, USA","Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA#TAB#","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111878948","display_name":"M.L. Fowler","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark L. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State University of New York, Binghamton, USA","Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA#TAB#","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":5.2265,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96093198,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1069","last_page":"1072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9976999759674072,"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/fdoa","display_name":"FDOA","score":0.9909627437591553},{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.9529931545257568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635237336158752},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5450589060783386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5118907690048218},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.4608788788318634},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4238620400428772},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.2391681671142578},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1990574300289154},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19826117157936096},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1664322316646576},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.12829983234405518},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09580212831497192},{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.07285001873970032}],"concepts":[{"id":"https://openalex.org/C14774633","wikidata":"https://www.wikidata.org/wiki/Q5425288","display_name":"FDOA","level":4,"score":0.9909627437591553},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.9529931545257568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635237336158752},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5450589060783386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5118907690048218},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.4608788788318634},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4238620400428772},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2391681671142578},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1990574300289154},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19826117157936096},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1664322316646576},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.12829983234405518},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09580212831497192},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.07285001873970032},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1416197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1669040844","https://openalex.org/W1963493003","https://openalex.org/W1965392255","https://openalex.org/W1980657668","https://openalex.org/W1992091448","https://openalex.org/W2094112992","https://openalex.org/W2104264645","https://openalex.org/W2109583193","https://openalex.org/W2148840132"],"related_works":["https://openalex.org/W2138144598","https://openalex.org/W2129263947","https://openalex.org/W1952524435","https://openalex.org/W4319597720","https://openalex.org/W2370956270","https://openalex.org/W2762447551","https://openalex.org/W2363198591","https://openalex.org/W3202799503","https://openalex.org/W2100567635","https://openalex.org/W2919091413"],"abstract_inverted_index":{"The":[0],"location":[1],"of":[2,73,83,119,136,142],"an":[3],"emitting":[4],"target":[5],"is":[6,38,57,128,148],"estimated":[7],"by":[8],"intercepting":[9],"its":[10],"emitted":[11],"signal":[12],"and":[13,24,33,102,130,133],"sharing":[14],"it":[15,105],"among":[16],"several":[17],"sensors":[18],"to":[19,61,93,111],"measure":[20,56],"the":[21,25,51,81,95,113,137],"time-difference-of-arrival":[22],"(TDOA)":[23],"frequency-difference-of-arrival":[26],"(FDOA).":[27],"Doing":[28],"this":[29,66],"in":[30,65,123],"a":[31,70,98,117,124,143],"timely":[32],"energy":[34,131],"efficient":[35],"fashion,":[36],"which":[37],"especially":[39],"important":[40],"for":[41,77],"wireless":[42,125],"sensor":[43,126],"network":[44,127],"applications,":[45],"requires":[46],"effective":[47],"data":[48,96],"compression.":[49,115],"Since":[50],"commonly":[52],"used":[53],"MSE":[54,147],"distortion":[55,75,91],"only":[58],"weakly":[59],"related":[60],"optimal":[62],"TDOA/FDOA":[63,78,107],"estimation,":[64],"paper,":[67],"we":[68],"derive":[69],"new":[71,90],"class":[72],"non-MSE":[74],"measures":[76,92],"estimation":[79,108],"using":[80,97,112,146],"concept":[82],"Fisher":[84],"information.":[85],"We":[86],"then":[87],"use":[88],"these":[89],"compress":[94],"wavelet":[99],"packet":[100],"transform":[101],"show":[103],"that":[104,141],"improves":[106],"accuracies":[109],"relative":[110],"MSE-based":[114],"Finally,":[116],"scheme":[118,139,145],"applying":[120],"our":[121],"algorithms":[122],"proposed,":[129],"efficiency":[132],"accuracy":[134],"enhancement":[135],"proposed":[138],"over":[140],"traditional":[144],"shown":[149],"through":[150],"simulations.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}