{"id":"https://openalex.org/W2161173173","doi":"https://doi.org/10.1109/tvt.2004.823532","title":"Adaptive Iterative Detection for the Phase-Uncertain Channel: Limited-Tree-Search Versus Truncated-Memory Detection","display_name":"Adaptive Iterative Detection for the Phase-Uncertain Channel: Limited-Tree-Search Versus Truncated-Memory Detection","publication_year":2004,"publication_date":"2004-03-01","ids":{"openalex":"https://openalex.org/W2161173173","doi":"https://doi.org/10.1109/tvt.2004.823532","mag":"2161173173"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2004.823532","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.tlc.unipr.it/colavolpe/papers/j19.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021962518","display_name":"Gianluigi Ferrari","orcid":"https://orcid.org/0000-0001-6688-0934"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Ferrari","raw_affiliation_strings":["Department of Information Engineering, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021002637","display_name":"Achilleas Anastasopoulos","orcid":"https://orcid.org/0000-0003-3795-1654"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Anastasopoulos","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078307012","display_name":"Giulio Colavolpe","orcid":"https://orcid.org/0000-0002-0577-8626"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Colavolpe","raw_affiliation_strings":["Department of Information Engineering, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051136832","display_name":"R. Raheli","orcid":"https://orcid.org/0000-0002-2197-5734"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Raheli","raw_affiliation_strings":["Department of Information Engineering, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.593,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":15,"citation_normalized_percentile":{"value":0.760112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":"53","issue":"2","first_page":"433","last_page":"442"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9999,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9999,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9988,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9977,"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/trellis","display_name":"Trellis (graph)","score":0.7407844},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.6315386},{"id":"https://openalex.org/keywords/trellis-modulation","display_name":"Trellis modulation","score":0.57010746},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48195884},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4776127}],"concepts":[{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.7407844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.67198306},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6315386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837886},{"id":"https://openalex.org/C197712280","wikidata":"https://www.wikidata.org/wiki/Q557200","display_name":"Trellis modulation","level":4,"score":0.57010746},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5068677},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48195884},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48173526},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4776127},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.42001706},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.36639622},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.33115542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31632185},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.24310929},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.08560324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08318606},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07612279},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2004.823532","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.321.512","pdf_url":"http://www.tlc.unipr.it/colavolpe/papers/j19.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.321.512","pdf_url":"http://www.tlc.unipr.it/colavolpe/papers/j19.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1523699668","https://openalex.org/W1562979145","https://openalex.org/W1574007398","https://openalex.org/W1792570477","https://openalex.org/W1794323723","https://openalex.org/W1985593155","https://openalex.org/W2045407304","https://openalex.org/W2047667035","https://openalex.org/W2100239053","https://openalex.org/W2101526122","https://openalex.org/W2102251435","https://openalex.org/W2118264608","https://openalex.org/W2120130718","https://openalex.org/W2128393863","https://openalex.org/W2128682854","https://openalex.org/W2129635524","https://openalex.org/W2129842916","https://openalex.org/W2132970712","https://openalex.org/W2135786262","https://openalex.org/W2145714519","https://openalex.org/W2148643041","https://openalex.org/W2149959899","https://openalex.org/W2153903821","https://openalex.org/W2156434076","https://openalex.org/W2163142368","https://openalex.org/W2165205968"],"related_works":["https://openalex.org/W2757495821","https://openalex.org/W2165935298","https://openalex.org/W2164710988","https://openalex.org/W2160771105","https://openalex.org/W2152410978","https://openalex.org/W2144506761","https://openalex.org/W2085740039","https://openalex.org/W1934708831","https://openalex.org/W1781896427","https://openalex.org/W1578638483"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"consider":[4],"iterative":[5],"detection":[6,29,110],"over":[7],"bandpass":[8],"channels":[9],"that":[10,99],"introduce":[11],"an":[12],"unknown":[13],"phase":[14,128],"rotation":[15],"in":[16],"the":[17,24,93,100,106,109],"transmitted":[18],"signal.":[19],"This":[20],"work":[21],"focuses":[22],"on":[23,54,78],"comparison":[25],"between":[26],"two":[27,94],"adaptive":[28],"strategies":[30,65],"for":[31,124],"trellis-based":[32,70],"coded":[33],"modulation:":[34],"limited-tree-search":[35],"(LTS)":[36],"detection,":[37,52],"obtained":[38],"by":[39],"reducing":[40],"a":[41,45,61,118,133],"tree":[42],"search":[43],"to":[44,60,68,89,126],"limited":[46],"trellis":[47,62],"search,":[48],"and":[49,83,91,120],"truncated-memory":[50],"(TM)":[51],"based":[53,77],"channel-memory":[55],"truncation,":[56],"which":[57],"automatically":[58],"leads":[59],"search.":[63],"Both":[64],"are":[66,117],"used":[67],"derive":[69],"forward-backward":[71],"(FB)":[72],"algorithms.":[73],"A":[74],"quantitative":[75],"analysis":[76],"simulations,":[79],"with":[80],"various":[81],"coding":[82],"modulation":[84],"schemes,":[85],"is":[86],"carried":[87],"out":[88],"evaluate":[90],"compare":[92],"approaches.":[95],"The":[96],"results":[97],"show":[98,132],"channel-phase":[101],"dynamics":[102],"should":[103],"significantly":[104],"influence":[105],"choice":[107],"of":[108],"strategy:":[111],"For":[112],"low-phase":[113],"variations,":[114,129],"LTS":[115],"algorithms":[116,131],"simple":[119],"reasonable":[121],"choice,":[122],"while":[123],"moderate":[125],"fast":[127],"TM":[130],"considerable":[134],"robustness.":[135]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2161173173","counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2024-12-16T14:41:32.908697","created_date":"2016-06-24"}