{"id":"https://openalex.org/W4405354766","doi":"https://doi.org/10.1109/tsp.2026.3721253","title":"Bayesian Wideband Signal Detection via Source Signal Marginalization and RJMCMC","display_name":"Bayesian Wideband Signal Detection via Source Signal Marginalization and RJMCMC","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4405354766","doi":"https://doi.org/10.1109/tsp.2026.3721253"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2026.3721253","doi":"https://doi.org/10.1109/tsp.2026.3721253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2026.3721253","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.08895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027679178","display_name":"Kyurae Kim","orcid":"https://orcid.org/0000-0003-2063-0889","observed_orcids":["https://orcid.org/0000-0003-2063-0889"]},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kyurae Kim","raw_affiliation_strings":["University of Liverpool"],"raw_orcid":"https://orcid.org/0000-0003-2063-0889","affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036395430","display_name":"Philip T. Clemson","orcid":"https://orcid.org/0000-0003-4935-6035","observed_orcids":["https://orcid.org/0000-0003-4935-6035"]},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip T. Clemson","raw_affiliation_strings":["University of Liverpool"],"raw_orcid":"https://orcid.org/0000-0003-4935-6035","affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"James P. Reilly","orcid":"https://orcid.org/0000-0002-4109-1186","observed_orcids":["https://orcid.org/0000-0002-4109-1186"]},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"James P. Reilly","raw_affiliation_strings":["McMaster University"],"raw_orcid":"https://orcid.org/0000-0002-4109-1186","affiliations":[{"raw_affiliation_string":"McMaster University","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088124267","display_name":"Jason F. Ralph","orcid":"https://orcid.org/0000-0002-4946-9948","observed_orcids":["https://orcid.org/0000-0002-4946-9948"]},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jason F. Ralph","raw_affiliation_strings":["University of Liverpool"],"raw_orcid":"https://orcid.org/0000-0002-4946-9948","affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon R. Maskell","orcid":"https://orcid.org/0000-0003-1917-2913","observed_orcids":["https://orcid.org/0000-0003-1917-2913"]},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool"],"raw_orcid":"https://orcid.org/0000-0003-1917-2913","affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.9391,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91912773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":null,"first_page":"3773","last_page":"3788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.7935000061988831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.7935000061988831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.04560000076889992,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"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":0.03779999911785126,"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/wideband-signal-detection","display_name":"wideband signal detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/reversible-jump-markov-chain-monte-carlo","display_name":"reversible jump Markov chain Monte Carlo","score":0.8799999952316284},{"id":"https://openalex.org/keywords/source-number-estimation","display_name":"source number estimation","score":0.699999988079071},{"id":"https://openalex.org/keywords/array-signal-processing","display_name":"array signal processing","score":0.6420000195503235},{"id":"https://openalex.org/keywords/sparse-matrix-decomposition","display_name":"sparse matrix decomposition","score":0.5690000057220459},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"marginal likelihood","score":0.5649999976158142},{"id":"https://openalex.org/keywords/bayesian-model-selection","display_name":"Bayesian model selection","score":0.6389999985694885},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"circular convolution","score":0.6610000133514404},{"id":"https://openalex.org/keywords/acoustic-signals","display_name":"acoustic signals","score":0.5040000081062317},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.4909999966621399}],"concepts":[{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6525729298591614},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6386594176292419},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5767333507537842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094109177589417},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4818664491176605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.410508394241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22077807784080505},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17399540543556213},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.12978267669677734},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0940299928188324},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2026.3721253","doi":"https://doi.org/10.1109/tsp.2026.3721253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2026.3721253","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2412.08895","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2412.08895","pdf_url":"https://arxiv.org/pdf/2412.08895","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.08895","doi":"https://doi.org/10.48550/arxiv.2412.08895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.08895","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.08895","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2412.08895","pdf_url":"https://arxiv.org/pdf/2412.08895","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3699247952","display_name":null,"funder_award_id":"1000143726","funder_id":"https://openalex.org/F4320332972","funder_display_name":"Defence Science and Technology Laboratory"}],"funders":[{"id":"https://openalex.org/F4320332972","display_name":"Defence Science and Technology Laboratory","ror":"https://ror.org/04jswqb94"},{"id":"https://openalex.org/F4320335334","display_name":"Defence Science and Technology Group","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405354766.pdf","grobid_xml":"https://content.openalex.org/works/W4405354766.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W129868937","https://openalex.org/W236172754","https://openalex.org/W653761051","https://openalex.org/W1531292556","https://openalex.org/W1567669715","https://openalex.org/W1573524085","https://openalex.org/W1589236794","https://openalex.org/W1759730364","https://openalex.org/W1814500939","https://openalex.org/W1818136361","https://openalex.org/W1966296345","https://openalex.org/W1984544290","https://openalex.org/W1986131772","https://openalex.org/W1991445085","https://openalex.org/W1993816700","https://openalex.org/W2001056536","https://openalex.org/W2007180022","https://openalex.org/W2016201611","https://openalex.org/W2020389170","https://openalex.org/W2020999234","https://openalex.org/W2021796032","https://openalex.org/W2039657559","https://openalex.org/W2041050174","https://openalex.org/W2044880290","https://openalex.org/W2049936270","https://openalex.org/W2051434435","https://openalex.org/W2056760934","https://openalex.org/W2064606425","https://openalex.org/W2065222687","https://openalex.org/W2073610283","https://openalex.org/W2074853220","https://openalex.org/W2077666754","https://openalex.org/W2083875149","https://openalex.org/W2090251478","https://openalex.org/W2090596137","https://openalex.org/W2096217494","https://openalex.org/W2096710051","https://openalex.org/W2100039303","https://openalex.org/W2103492569","https://openalex.org/W2106706098","https://openalex.org/W2109575181","https://openalex.org/W2110065044","https://openalex.org/W2113741278","https://openalex.org/W2117838564","https://openalex.org/W2120575449","https://openalex.org/W2123226256","https://openalex.org/W2123373199","https://openalex.org/W2125687953","https://openalex.org/W2126163471","https://openalex.org/W2131090450","https://openalex.org/W2131924888","https://openalex.org/W2133503769","https://openalex.org/W2138309709","https://openalex.org/W2138916023","https://openalex.org/W2140505691","https://openalex.org/W2140728947","https://openalex.org/W2142635246","https://openalex.org/W2142829171","https://openalex.org/W2154791587","https://openalex.org/W2158536589","https://openalex.org/W2158859497","https://openalex.org/W2160783189","https://openalex.org/W2161623414","https://openalex.org/W2162654459","https://openalex.org/W2163654537","https://openalex.org/W2163994287","https://openalex.org/W2630710962","https://openalex.org/W2798087041","https://openalex.org/W2897173776","https://openalex.org/W3000200136","https://openalex.org/W3035178478","https://openalex.org/W3090563747","https://openalex.org/W4206196235","https://openalex.org/W4211177544","https://openalex.org/W4221147166","https://openalex.org/W4232632925","https://openalex.org/W4251649775","https://openalex.org/W4285296394","https://openalex.org/W4292691288","https://openalex.org/W4392090018","https://openalex.org/W4399144337","https://openalex.org/W4404528690"],"related_works":["https://openalex.org/W2081333598","https://openalex.org/W2154620976","https://openalex.org/W2355782210","https://openalex.org/W1571730369","https://openalex.org/W2004469023","https://openalex.org/W2112146830","https://openalex.org/W2374037815","https://openalex.org/W1763370240","https://openalex.org/W2063703552","https://openalex.org/W7096453370"],"abstract_inverted_index":{"Consider":[0],"an":[1,8,81],"array":[2],"receiving":[3],"unknown":[4,9],"wideband":[5,76,101,109],"signals":[6,15,232],"from":[7,124],"number":[10],"of":[11,85,118,128,145,184,214,228],"sources":[12],"$k$.":[13],"Wideband":[14],"can":[16,233],"occupy":[17],"arbitrarily":[18],"wide":[19],"bandwidths,":[20],"rendering":[21],"demodulation-based":[22],"approaches":[23],"inapplicable,":[24],"a":[25,44,57,89,108,139,162,165,172,238],"common":[26,58],"situation":[27],"in":[28,100,152,237],"settings":[29],"involving":[30],"acoustic":[31],"signals.":[32,73,121],"Here,":[33],"we":[34,106,168,209],"aim":[35],"to":[36,69,97,170,189],"determine":[37],"$k$":[38],"given":[39],"$N$":[40],"noisy":[41],"array-valued":[42],"measurements,":[43],"task":[45],"known":[46],"as":[47,171],"the":[48,71,119,125,153,157,181,186,211,229],"\"detection":[49],"problem,\"":[50],"for":[51,75,114,149],"which":[52,134,217],"Bayesian":[53,62,92,240],"model":[54,111,127],"comparison":[55],"is":[56,66,135],"approach.":[59],"To":[60],"render":[61],"inference":[63,198],"tractable,":[64],"it":[65,253],"typically":[67],"necessary":[68],"marginalize":[70],"source":[72,120,231],"Unfortunately,":[74],"signals,":[77],"naive":[78],"marginalization":[79,117],"has":[80,95],"unaffordable":[82],"time":[83,182],"complexity":[84,183],"$\\mathcal{O}(N^3":[86],"k^3)$.":[87,191],"As":[88],"result,":[90],"fully":[91,239],"signal":[93,110,132],"detection":[94],"yet":[96],"be":[98,235],"demonstrated":[99],"settings.":[102],"In":[103,206],"this":[104,177,207],"work,":[105,208],"propose":[107],"that":[112],"allows":[113,148],"computationally":[115],"tractable":[116],"We":[122,247],"begin":[123],"canonical":[126],"linear":[129,159],"time-invariant":[130],"(LTI)":[131],"propagation,":[133],"then":[136,234],"augmented":[137],"into":[138,164],"circular":[140],"convolution,":[141],"all":[142],"without":[143],"loss":[144],"generality.":[146],"This":[147],"efficient":[150,196],"computation":[151],"frequency":[154],"domain,":[155],"where":[156],"resulting":[158],"system":[160],"admits":[161],"decomposition":[163],"sparse":[166],"matrix":[167,174],"refer":[169],"\\textit{stripe":[173],"decomposition}.":[175],"Exploiting":[176],"sparsity":[178],"pattern":[179],"reduces":[180],"computing":[185],"marginal":[187],"likelihood":[188,256],"$\\mathcal{O}(N":[190],"These":[192],"computational":[193],"improvements":[194],"enable":[195],"posterior":[197],"via":[199],"reversible-jump":[200],"Markov":[201],"chain":[202],"Monte":[203],"Carlo":[204],"(RJMCMC).":[205],"use":[210],"non-reversible":[212],"extension":[213],"RJMCMC":[215],"(NRJMCMC),":[216],"often":[218],"achieves":[219],"lower":[220],"autocorrelation":[221],"and":[222,260],"faster":[223],"convergence":[224],"than":[225],"RJMCMC.":[226],"Detection":[227],"latent":[230],"performed":[236],"manner":[241],"using":[242],"samples":[243],"drawn":[244],"by":[245,251],"NRJMCMC.":[246],"evaluate":[248],"our":[249],"procedure":[250],"comparing":[252],"against":[254],"generalized":[255],"ratio":[257],"testing":[258],"(GLRT)":[259],"information":[261],"criteria.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-12-14T00:00:00"}
