{"id":"https://openalex.org/W3015875050","doi":"https://doi.org/10.1109/icassp40776.2020.9052909","title":"Spatial and Temporal Smoothing for Covariance Estimation in Super-Resolution Angle Estimation in Automotive Radars","display_name":"Spatial and Temporal Smoothing for Covariance Estimation in Super-Resolution Angle Estimation in Automotive Radars","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015875050","doi":"https://doi.org/10.1109/icassp40776.2020.9052909","mag":"3015875050"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052909","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icassp40776.2020.9052909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5044310335","display_name":"Ali Erdem Ertan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Erdem Ertan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074989463","display_name":"Murtaza Ali","orcid":"https://orcid.org/0000-0003-3032-9344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murtaza Ali","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044310335"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7577,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69716919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8629","last_page":"8633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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/smoothing","display_name":"Smoothing","score":0.7572963833808899},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6569256782531738},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6412370204925537},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.5099097490310669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5064541101455688},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48855075240135193},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4683952331542969},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42127394676208496},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33629870414733887},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.30363863706588745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2602003812789917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.228773295879364},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20941850543022156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20826146006584167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1899060308933258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15850543975830078},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10304054617881775}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7572963833808899},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6569256782531738},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6412370204925537},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.5099097490310669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5064541101455688},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48855075240135193},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4683952331542969},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42127394676208496},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33629870414733887},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.30363863706588745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2602003812789917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.228773295879364},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20941850543022156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20826146006584167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1899060308933258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15850543975830078},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10304054617881775},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052909","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icassp40776.2020.9052909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":11,"referenced_works":["https://openalex.org/W2113484718","https://openalex.org/W2136274821","https://openalex.org/W2141783658","https://openalex.org/W2160511133","https://openalex.org/W2162654459","https://openalex.org/W2424410299","https://openalex.org/W2444464560","https://openalex.org/W2592680288","https://openalex.org/W2808060778","https://openalex.org/W2921712855","https://openalex.org/W6760274699"],"related_works":["https://openalex.org/W2386803684","https://openalex.org/W2073389045","https://openalex.org/W3178402891","https://openalex.org/W651058035","https://openalex.org/W143964308","https://openalex.org/W2046078371","https://openalex.org/W4315750325","https://openalex.org/W1973780821","https://openalex.org/W4297832768","https://openalex.org/W2477374484"],"abstract_inverted_index":{"Introduction":[0],"of":[1,31,64,104,144,164,194],"Digital":[2],"Coded":[3],"Modulation":[4],"(DCM)":[5],"radars":[6],"in":[7,74,119,162,169],"automotive":[8,75],"applications":[9,77],"has":[10],"allowed":[11],"large":[12,29,167],"scale":[13],"MIMO":[14],"systems":[15],"to":[16,41,54,79,88,101,184],"be":[17,89,130],"feasible":[18],"within":[19],"the":[20,48,65,80,114,125,159,186,192],"operating":[21],"cost":[22],"and":[23,33,106,121],"space":[24],"constraints.":[25],"Even":[26],"with":[27,132,142,166],"such":[28],"number":[30],"transceivers":[32],"intelligent":[34],"array":[35],"design,":[36],"it":[37,98],"is":[38,99,178],"often":[39],"necessary":[40],"employ":[42],"super-resolution":[43],"angle":[44],"estimation":[45,63,86],"methods":[46,60],"like":[47],"Multiple":[49],"Signal":[50],"Classification":[51],"(MUSIC)":[52],"algorithm":[53],"resolve":[55],"closely":[56],"spaced":[57],"targets.":[58],"These":[59],"require":[61],"accurate":[62],"signal":[66],"covariance":[67,84,116],"across":[68],"channels.":[69],"A":[70],"further":[71],"complication":[72],"arises":[73],"radar":[76,146],"due":[78],"fact":[81],"that":[82,128,175],"this":[83,96,110],"matrix":[85,117],"needs":[87],"done":[90],"using":[91],"single":[92],"snapshot.":[93],"To":[94],"mitigate":[95],"problem,":[97],"possible":[100],"make":[102],"use":[103],"spatial":[105,120],"temporal":[107,122],"smoothing.":[108],"In":[109],"paper,":[111],"we":[112],"analyze":[113],"effect":[115],"averaging":[118],"domain":[123],"on":[124,138,152,191],"angular":[126,140,160,188],"resolution":[127,141,155,161,189],"can":[129],"obtained":[131],"MUSIC.":[133],"We":[134],"not":[135],"only":[136],"focus":[137],"traditional":[139],"targets":[143,165],"same":[145],"cross":[147],"section":[148],"(RCS)":[149],"but":[150],"also":[151],"high":[153],"contract":[154],"(HCR)":[156],"which":[157],"analyzes":[158],"case":[163],"variation":[168],"target":[170],"RCS.":[171],"Our":[172],"results":[173],"indicate":[174],"proper":[176],"trade-off":[177],"needed":[179],"among":[180],"these":[181],"smoothing":[182],"techniques":[183],"get":[185],"best":[187],"depending":[190],"choice":[193],"antenna":[195],"configurations.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
