{"id":"https://openalex.org/W1610858963","doi":"https://doi.org/10.1109/icassp.1985.1168176","title":"Source location with arrays subject to travelling wave perturbations","display_name":"Source location with arrays subject to travelling wave perturbations","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1610858963","doi":"https://doi.org/10.1109/icassp.1985.1168176","mag":"1610858963"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5113560641","display_name":"E. Ashok","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E. Ashok","raw_affiliation_strings":["Department of Electrical Engineering, Yale University, New Heaven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055943823","display_name":"P.M. Schultheiss","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Schultheiss","raw_affiliation_strings":["Department of Electrical Engineering, Yale University, New Heaven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113560641"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07281042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1758","last_page":"1761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9897000193595886,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9897000193595886,"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":0.9876999855041504,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.5924750566482544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5817477703094482},{"id":"https://openalex.org/keywords/motion-sensors","display_name":"Motion sensors","score":0.5428060293197632},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5313786864280701},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.5120158791542053},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.503253161907196},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.493554949760437},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.4786737561225891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4625287652015686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33102133870124817},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.22756969928741455},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22396227717399597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08732447028160095}],"concepts":[{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.5924750566482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5817477703094482},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.5428060293197632},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5313786864280701},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.5120158791542053},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.503253161907196},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.493554949760437},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.4786737561225891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4625287652015686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33102133870124817},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.22756969928741455},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22396227717399597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08732447028160095},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1786409088","https://openalex.org/W2003201638","https://openalex.org/W2064973286","https://openalex.org/W2113221046","https://openalex.org/W2116682533","https://openalex.org/W2139348241","https://openalex.org/W4245639919"],"related_works":["https://openalex.org/W2164801693","https://openalex.org/W2120266201","https://openalex.org/W2585557503","https://openalex.org/W2389491004","https://openalex.org/W2384282517","https://openalex.org/W1976418043","https://openalex.org/W2378226311","https://openalex.org/W2035458027","https://openalex.org/W2169354510","https://openalex.org/W1988629835"],"abstract_inverted_index":{"Random":[0],"sensor":[1,24,90,110],"motion":[2,25,51,91,111],"is":[3,37,41,55,82],"one":[4],"source":[5,9,61],"of":[6,43,46,52,69,71,122],"error":[7],"in":[8,22,66,107],"location":[10,62],"using":[11],"a":[12,44],"passive":[13],"array.":[14],"This":[15],"paper":[16],"attempts":[17],"to":[18,29,89,103],"determine":[19],"whether":[20],"correlations":[21],"the":[23,50,67,85,97,101,108,118,127],"can":[26],"be":[27],"exploited":[28],"remove":[30],"such":[31],"errors.":[32],"A":[33],"travelling":[34],"wave":[35],"perturbation":[36],"considered,":[38],"because":[39],"it":[40],"representative":[42],"class":[45],"practical":[47],"problems":[48],"where":[49],"nearby":[53],"sensors":[54,73],"highly":[56],"correlated.":[57],"Cramer-Rao":[58,128],"bounds":[59],"on":[60,96],"parameters":[63],"are":[64,92,115],"derived":[65],"cases":[68],"arrays":[70],"two":[72],"and":[74,100],"<tex":[75],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M":[77],"(\\gg":[78],"1)</tex>":[79],"sensors.":[80],"It":[81],"shown":[83],"that":[84,125],"incremental":[86],"errors":[87],"due":[88],"more":[93],"strongly":[94],"dependent":[95],"observation":[98],"time":[99],"signal":[102],"noise":[104],"ratio":[105],"than":[106],"independent":[109],"case.":[112],"Heuristic":[113],"insights":[114],"provided":[116],"into":[117],"results":[119],"with":[120],"discussions":[121],"processing":[123],"schemes":[124],"approach":[126],"bounds.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}