{"id":"https://openalex.org/W4226278484","doi":"https://doi.org/10.1109/lsp.2022.3158592","title":"Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization","display_name":"Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226278484","doi":"https://doi.org/10.1109/lsp.2022.3158592"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3158592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3158592","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5016449734","display_name":"Kuntal Panwar","orcid":"https://orcid.org/0000-0002-0441-9322"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kuntal Panwar","raw_affiliation_strings":["Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-0441-9322","affiliations":[{"raw_affiliation_string":"Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012466580","display_name":"Prabhu Babu","orcid":"https://orcid.org/0000-0002-9041-9010"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabhu Babu","raw_affiliation_strings":["Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007877889","display_name":"Petre Stoica","orcid":"https://orcid.org/0000-0002-7957-3711"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Petre Stoica","raw_affiliation_strings":["Department of Information Technology, Uppsala University, Uppsala, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-7957-3711","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9386,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85864692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"847","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/algorithm","display_name":"Algorithm","score":0.6989496946334839},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6083900332450867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5981842875480652},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5643817186355591},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5433983206748962},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4934900999069214},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4627089500427246},{"id":"https://openalex.org/keywords/multistatic-radar","display_name":"Multistatic radar","score":0.4369305372238159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3265027105808258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31240278482437134},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.25534042716026306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13390639424324036},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.0908440351486206},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0731436014175415}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6989496946334839},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6083900332450867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5981842875480652},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5643817186355591},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5433983206748962},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4934900999069214},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4627089500427246},{"id":"https://openalex.org/C2777585438","wikidata":"https://www.wikidata.org/wiki/Q6935105","display_name":"Multistatic radar","level":5,"score":0.4369305372238159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3265027105808258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31240278482437134},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25534042716026306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13390639424324036},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0908440351486206},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0731436014175415},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3158592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3158592","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G201162080","display_name":"Statistical Processing of One-Bit Compressed Data: Fundamental Limits and Novel Methodologies","funder_award_id":"2017-04610","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G5371231072","display_name":"NewLEADS - New Directions in Learning Dynamical Systems","funder_award_id":"2016-06079","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1659351527","https://openalex.org/W1999933558","https://openalex.org/W2001886371","https://openalex.org/W2002105608","https://openalex.org/W2044541911","https://openalex.org/W2050968963","https://openalex.org/W2107376953","https://openalex.org/W2131576659","https://openalex.org/W2279373238","https://openalex.org/W2283203518","https://openalex.org/W2296143655","https://openalex.org/W2508393166","https://openalex.org/W2588174171","https://openalex.org/W2610064762","https://openalex.org/W2735881044","https://openalex.org/W2768622687","https://openalex.org/W2937318196","https://openalex.org/W2963384677","https://openalex.org/W3034393100","https://openalex.org/W3034747312","https://openalex.org/W3043792637","https://openalex.org/W3117419696","https://openalex.org/W4232239282","https://openalex.org/W6637189231"],"related_works":["https://openalex.org/W1599934829","https://openalex.org/W2542144695","https://openalex.org/W2385118824","https://openalex.org/W4235984243","https://openalex.org/W2359476137","https://openalex.org/W2362165903","https://openalex.org/W2575294667","https://openalex.org/W2378962668","https://openalex.org/W2760239433","https://openalex.org/W2358910850"],"abstract_inverted_index":{"In":[0],"this":[1],"letter":[2],"we":[3,23,43],"address":[4],"the":[5,25,34,38,58,62],"problem":[6,26],"of":[7,27,33,65],"multistatic":[8],"target":[9,35],"localization":[10],"using":[11],"time-delay":[12],"measurements":[13],"corrupted":[14],"by":[15],"noise":[16,39],"with":[17,54],"unknown":[18],"non-uniform":[19],"variances.":[20],"More":[21],"concretely,":[22],"consider":[24],"joint":[28],"maximum":[29],"likelihood":[30],"(ML)":[31],"estimation":[32],"position":[36],"and":[37,57],"variances,":[40],"for":[41],"which":[42],"propose":[44],"a":[45],"majorization-minimization":[46],"based":[47],"algorithm.":[48,67],"The":[49],"proposed":[50],"approach":[51],"is":[52],"compared":[53],"state-of-the-art":[55],"algorithms,":[56],"simulation":[59],"results":[60],"show":[61],"excellent":[63],"accuracy":[64],"our":[66]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}