{"id":"https://openalex.org/W1546161113","doi":"https://doi.org/10.1109/icassp.2015.7178659","title":"Estimation of rapidly varying sea clutter using nearest Kronecker product approximation","display_name":"Estimation of rapidly varying sea clutter using nearest Kronecker product approximation","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1546161113","doi":"https://doi.org/10.1109/icassp.2015.7178659","mag":"1546161113"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063511568","display_name":"Samuel P. Ebenezer","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel P. Ebenezer","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, Arizona","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, United States","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069246416","display_name":"Antonia Papandreou\u2010Suppappola","orcid":"https://orcid.org/0000-0002-5223-6256"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonia Papandreou-Suppappola","raw_affiliation_strings":["School of Electrical, Arizona State University, Tempe, Arizona","School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, United States","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3686","last_page":"3690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9986000061035156,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/clutter","display_name":"Clutter","score":0.7995563745498657},{"id":"https://openalex.org/keywords/kronecker-product","display_name":"Kronecker product","score":0.7625622153282166},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7622151374816895},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6074705719947815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.538223385810852},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5234712362289429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4849853515625},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4262404441833496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42022037506103516},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.4002467691898346},{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.39528393745422363},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37739434838294983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1988697648048401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14601871371269226},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12214866280555725}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7995563745498657},{"id":"https://openalex.org/C46030957","wikidata":"https://www.wikidata.org/wiki/Q1238125","display_name":"Kronecker product","level":3,"score":0.7625622153282166},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7622151374816895},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6074705719947815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.538223385810852},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5234712362289429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4849853515625},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4262404441833496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42022037506103516},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.4002467691898346},{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.39528393745422363},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37739434838294983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1988697648048401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14601871371269226},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12214866280555725},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W319425658","https://openalex.org/W595851582","https://openalex.org/W1483307070","https://openalex.org/W1513008779","https://openalex.org/W1515333551","https://openalex.org/W1557595030","https://openalex.org/W1969534197","https://openalex.org/W1986921156","https://openalex.org/W2023348117","https://openalex.org/W2073389244","https://openalex.org/W2078537874","https://openalex.org/W2118647401","https://openalex.org/W2126885789","https://openalex.org/W2143665486","https://openalex.org/W2145713624","https://openalex.org/W2150254366","https://openalex.org/W2159139660","https://openalex.org/W2182061606","https://openalex.org/W2545286150","https://openalex.org/W3147291723","https://openalex.org/W4285719527","https://openalex.org/W4312258136","https://openalex.org/W6611207670","https://openalex.org/W6633511732","https://openalex.org/W6685721685"],"related_works":["https://openalex.org/W123417539","https://openalex.org/W4233239985","https://openalex.org/W2079407403","https://openalex.org/W2060299328","https://openalex.org/W2117336295","https://openalex.org/W2073634779","https://openalex.org/W3102722572","https://openalex.org/W2090103374","https://openalex.org/W1564288589","https://openalex.org/W577870507"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,22,89],"method":[6,19],"to":[7,41,50,87],"estimate":[8,51],"the":[9,28,34,37,52,56,61,75,78,84],"space-time":[10,80],"covariance":[11,29,35,57,81],"matrix":[12,30,82],"of":[13,55,77],"rapidly":[14],"varying":[15],"sea":[16,68,94],"clutter.":[17,95],"The":[18],"first":[20],"develops":[21],"dynamic":[23,53],"state":[24],"space":[25],"representation":[26],"for":[27],"and":[31],"then":[32,48],"approximates":[33],"using":[36,66],"nearest":[38,62],"Kronecker":[39,63],"product":[40,64],"reduce":[42],"computational":[43],"complexity.":[44],"Particle":[45],"filtering":[46],"is":[47],"applied":[49],"elements":[54],"matrix.":[58],"We":[59,72],"validate":[60],"approximation":[65],"real":[67],"clutter":[69],"radar":[70],"measurements.":[71],"further":[73],"demonstrate":[74],"use":[76],"estimated":[79],"in":[83,93],"track-before-detect":[85],"filter":[86],"track":[88],"low":[90],"observable":[91],"target":[92]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}