{"id":"https://openalex.org/W1973325157","doi":"https://doi.org/10.1109/afrcon.2011.6072027","title":"Characteristic function based method for SVM classification of maneuvering over the horizon targets","display_name":"Characteristic function based method for SVM classification of maneuvering over the horizon targets","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W1973325157","doi":"https://doi.org/10.1109/afrcon.2011.6072027","mag":"1973325157"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2011.6072027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2011.6072027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Africon '11","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/A5090481520","display_name":"Amir Jalalirad","orcid":"https://orcid.org/0000-0001-6640-7901"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Amir JalaliRad","raw_affiliation_strings":["Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran","Amirkabir University of Technology,,Department of Electrical Engineering,Tehran,,Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Amirkabir University of Technology,,Department of Electrical Engineering,Tehran,,Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060423856","display_name":"Hamidreza Amindavar","orcid":"https://orcid.org/0000-0002-0954-0674"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamidreza Amindavar","raw_affiliation_strings":["Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran","Amirkabir University of Technology,,Department of Electrical Engineering,Tehran,,Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Amirkabir University of Technology,,Department of Electrical Engineering,Tehran,,Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091404066","display_name":"R.L. Kirlin","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rodney Lynn Kirlin","raw_affiliation_strings":["Department of Electrical Engineering, University of Victoria, Canada","University of Victoria, Department of Electrical Engineering, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]},{"raw_affiliation_string":"University of Victoria, Department of Electrical Engineering, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090481520"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05026555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"150","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9986000061035156,"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":0.9986000061035156,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9968000054359436,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.6744744181632996},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6712304353713989},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6140410304069519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140247583389282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6137218475341797},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.600951075553894},{"id":"https://openalex.org/keywords/over-the-horizon-radar","display_name":"Over-the-horizon radar","score":0.5272164344787598},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.510501503944397},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5100911259651184},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45578163862228394},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.451416015625},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.442383348941803},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4290786683559418},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10283157229423523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744744181632996},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6712304353713989},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6140410304069519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140247583389282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6137218475341797},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.600951075553894},{"id":"https://openalex.org/C183617614","wikidata":"https://www.wikidata.org/wiki/Q332548","display_name":"Over-the-horizon radar","level":3,"score":0.5272164344787598},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.510501503944397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5100911259651184},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45578163862228394},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.451416015625},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.442383348941803},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4290786683559418},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10283157229423523},{"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/afrcon.2011.6072027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2011.6072027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Africon '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1494114070","https://openalex.org/W1538006934","https://openalex.org/W1601740268","https://openalex.org/W1667165204","https://openalex.org/W1966932592","https://openalex.org/W1983912619","https://openalex.org/W2018754663","https://openalex.org/W2058032292","https://openalex.org/W2110442723","https://openalex.org/W2111022379","https://openalex.org/W2113472897","https://openalex.org/W2132394949","https://openalex.org/W2155445772","https://openalex.org/W2942228371","https://openalex.org/W3119651796","https://openalex.org/W3124075218","https://openalex.org/W6636118231","https://openalex.org/W7024001005"],"related_works":["https://openalex.org/W2096715552","https://openalex.org/W1598419248","https://openalex.org/W1586382151","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2502272432","https://openalex.org/W2085842814","https://openalex.org/W4286643620"],"abstract_inverted_index":{"In":[0,19,116],"this":[1],"paper,":[2],"we":[3,26,81,127],"propose":[4],"a":[5,56,68,74,90],"new":[6,24,121],"classification":[7,122,170],"method":[8,130],"based":[9,124],"on":[10,112,125],"characteristic":[11],"function":[12],"(CF)":[13],"and":[14,44,103,138,155],"support":[15],"vector":[16],"machine":[17],"(SVM).":[18],"order":[20,117],"to":[21,118],"validate":[22],"the":[23,40,61,64,83,94,120,152],"approach,":[25],"classify":[27],"three":[28],"groups":[29],"of":[30,46,58,89],"airborne":[31,162],"over-the-horizon":[32],"radar":[33,95],"(OTHR)":[34],"targets.":[35],"Since":[36],"signal":[37,66,76,85],"models":[38],"make":[39],"basis":[41],"for":[42],"analysis":[43,133],"enhancement":[45],"OTHR":[47,113],"performance,":[48],"choosing":[49],"an":[50],"appropriate":[51],"model":[52,82],"has":[53,109],"always":[54],"been":[55,110],"matter":[57],"concern.":[59],"On":[60],"other":[62],"hand,":[63],"returned":[65],"from":[67],"maneuvering":[69],"target":[70,114],"is":[71,164],"more":[72],"often":[73],"multi-component":[75],"with":[77,131],"time-varying":[78],"frequency,":[79],"hence,":[80],"received":[84],"as":[86],"being":[87],"comprised":[88],"chirp":[91],"faded":[92],"by":[93],"cross":[96],"section":[97],"(RCS)":[98],"plus":[99],"Gaussian":[100],"white":[101],"noise":[102],"K-distributed":[104],"(un)correlated":[105],"clutter.":[106],"Little":[107],"work":[108],"done":[111],"classification.":[115],"assess":[119],"approach":[123],"CF,":[126],"compare":[128],"our":[129],"discriminant":[132],"(DA),":[134],"decision":[135],"tree":[136],"(DT),":[137],"multi-layer":[139],"Perceptron":[140],"neural":[141],"network":[142],"(NN).":[143],"It":[144],"will":[145],"be":[146],"depicted":[147],"through":[148],"extensive":[149],"simulations":[150],"that":[151],"proposed":[153],"CF":[154],"multi-phase":[156],"SVM":[157],"method's":[158],"error":[159],"in":[160],"classifying":[161],"targets":[163],"about":[165],"3.5%":[166],"less":[167],"than":[168],"existing":[169],"methods'.":[171]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}