{"id":"https://openalex.org/W2918306120","doi":"https://doi.org/10.1109/acssc.2018.8645350","title":"Performance Analysis for Passive Radar Estimation Using Non-Cooperative Illuminators","display_name":"Performance Analysis for Passive Radar Estimation Using Non-Cooperative Illuminators","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918306120","doi":"https://doi.org/10.1109/acssc.2018.8645350","mag":"2918306120"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2018.8645350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645350","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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/A5103255880","display_name":"Sandeep Gogineni","orcid":"https://orcid.org/0000-0002-5398-3026"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandeep Gogineni","raw_affiliation_strings":["University of Dayton Research Institute, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dayton Research Institute, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064635322","display_name":"Muralidhar Rangaswamy","orcid":"https://orcid.org/0000-0003-4830-7637"},"institutions":[{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muralidhar Rangaswamy","raw_affiliation_strings":["Air Force Research Laboratory Wright Patterson Air Force Base, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory Wright Patterson Air Force Base, OH, USA","institution_ids":["https://openalex.org/I2799950915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111928824","display_name":"Michael C. Wicks","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Wicks","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6553,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87170326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1613","last_page":"1617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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":1.0,"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":0.9976000189781189,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9932000041007996,"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/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.8955495357513428},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.8946102261543274},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6258691549301147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5730093121528625},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5485825538635254},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5305583477020264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4488435983657837},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4154476523399353},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3870362937450409},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.28538990020751953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21755367517471313}],"concepts":[{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.8955495357513428},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.8946102261543274},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6258691549301147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730093121528625},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5485825538635254},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5305583477020264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4488435983657837},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4154476523399353},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3870362937450409},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.28538990020751953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21755367517471313},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2018.8645350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645350","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1536252645","https://openalex.org/W2032691773","https://openalex.org/W2085986270","https://openalex.org/W2157738322","https://openalex.org/W2169500239","https://openalex.org/W2201039975","https://openalex.org/W2248065114","https://openalex.org/W2279534025","https://openalex.org/W2414844821","https://openalex.org/W2736916185","https://openalex.org/W3014461618","https://openalex.org/W6775786979"],"related_works":["https://openalex.org/W1479746946","https://openalex.org/W2055757274","https://openalex.org/W2511739151","https://openalex.org/W2143803213","https://openalex.org/W2155014562","https://openalex.org/W2134404114","https://openalex.org/W2585557503","https://openalex.org/W1964936841","https://openalex.org/W2026659681","https://openalex.org/W2185708237"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,34,107,122,146],"derive":[4],"Cramer-Rao":[5],"Lower":[6],"Bound":[7],"(CRLB)":[8],"expressions":[9],"for":[10,46,54],"two-channel":[11],"radar":[12,49,55],"target":[13],"delay-Doppler":[14],"estimation":[15],"with":[16],"unknown":[17,25],"transmit":[18,154],"waveforms.":[19],"We":[20],"have":[21],"access":[22],"to":[23,90,105,117,136],"these":[24,68],"waveforms":[26,71,99],"only":[27,144],"via":[28],"the":[29,37,65,79,87,98,101,125,134,150,153],"noisy":[30,126],"reference":[31,127],"measurements.":[32],"Further,":[33,82],"assume":[35],"that":[36,113],"waveform":[38,88,102,120],"source":[39],"transmits":[40],"periodic":[41],"pulses":[42],"as":[43],"is":[44,114,148,157],"common":[45],"most":[47],"pulsed":[48],"illuminators.":[50],"Recent":[51],"CRLB":[52,66,135],"literature":[53],"has":[56],"focussed":[57],"on":[58,97,149],"specific":[59,69,119],"types":[60],"of":[61,133,152],"illuminators":[62],"and":[63,74,121],"derived":[64],"assuming":[67,86],"transmitted":[70],"are":[72],"known":[73],"incorporating":[75],"them":[76],"directly":[77],"into":[78],"measurement":[80],"model.":[81],"some":[83],"papers":[84],"while":[85],"itself":[89],"be":[91],"unknown,":[92],"make":[93,147],"simplifying":[94],"statistical":[95],"assumptions":[96],"or":[100],"structure.":[103],"Contrary":[104],"this,":[106],"compute":[108],"a":[109,138],"more":[110,139],"general":[111],"result":[112],"not":[115],"restricted":[116],"any":[118],"also":[123],"include":[124],"channel":[128],"measurements":[129],"in":[130,159],"our":[131],"derivation":[132],"obtain":[137],"accurate":[140],"performance":[141],"analysis.":[142],"The":[143],"assumption":[145],"periodicity":[151],"signal,":[155],"which":[156],"true":[158],"practice.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}