{"id":"https://openalex.org/W4200484369","doi":"https://doi.org/10.1109/iccais52680.2021.9624587","title":"Research on Power Transform Technology of High Resolution Range Profile of Measured Ship","display_name":"Research on Power Transform Technology of High Resolution Range Profile of Measured Ship","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W4200484369","doi":"https://doi.org/10.1109/iccais52680.2021.9624587"},"language":"en","primary_location":{"id":"doi:10.1109/iccais52680.2021.9624587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624587","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"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":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5000659820","display_name":"Bo Dan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Dan","raw_affiliation_strings":["Coast defense academy, Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Coast defense academy, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081510599","display_name":"Shan Gao","orcid":"https://orcid.org/0000-0002-5243-448X"},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Gao","raw_affiliation_strings":["Coast defense academy, Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Coast defense academy, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112723705","display_name":"Jianli Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianli Han","raw_affiliation_strings":["Coast defense academy, Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Coast defense academy, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000659820"],"corresponding_institution_ids":["https://openalex.org/I4210162215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19549374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"165","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9959999918937683,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9959999918937683,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9950000047683716,"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":0.992900013923645,"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/kurtosis","display_name":"Kurtosis","score":0.705472469329834},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.6761888265609741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6007241606712341},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.5427250862121582},{"id":"https://openalex.org/keywords/normality-test","display_name":"Normality test","score":0.5414483547210693},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5408473610877991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5207766890525818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4722960293292999},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.43737053871154785},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4344446659088135},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4199429750442505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40552830696105957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3790699243545532},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.35530510544776917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19814583659172058}],"concepts":[{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.705472469329834},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.6761888265609741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6007241606712341},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.5427250862121582},{"id":"https://openalex.org/C85031952","wikidata":"https://www.wikidata.org/wiki/Q3026029","display_name":"Normality test","level":3,"score":0.5414483547210693},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5408473610877991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5207766890525818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4722960293292999},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.43737053871154785},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4344446659088135},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4199429750442505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40552830696105957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3790699243545532},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.35530510544776917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19814583659172058},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais52680.2021.9624587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624587","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"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":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1510538563","https://openalex.org/W2034948708","https://openalex.org/W2035337734","https://openalex.org/W2108727084","https://openalex.org/W2140413187","https://openalex.org/W2156893865","https://openalex.org/W2333733125","https://openalex.org/W2336392079","https://openalex.org/W2372158077"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W1998250073","https://openalex.org/W1524482630"],"abstract_inverted_index":{"This":[0,74],"paper":[1,75],"mainly":[2],"studies":[3],"the":[4,18,27,43,53,68,78,85,99,113,116,119,136,149,159,168,172,174,185,194],"power":[5,88,131,191],"transform":[6,15,89,132],"preprocessing":[7],"of":[8,30,45,56,72,81,87,115,123,141],"High":[9],"Resolution":[10],"Range":[11],"Profile":[12],"(HRRP).":[13],"Power":[14],"can":[16],"make":[17],"HRRP":[19,188],"data":[20,189],"tend":[21],"to":[22,66,147,167],"be":[23],"normally":[24],"distributed,":[25],"improve":[26],"recognition":[28,178,196],"effect":[29,55],"common":[31],"classifiers":[32],"such":[33],"as":[34,65],"linear":[35],"discriminant":[36],"function":[37],"and":[38,51,90,101,105,111,158,177,193],"k-nearest":[39],"neighbor":[40],"(KNN),":[41],"increase":[42],"role":[44],"weak":[46,61],"scattered":[47,58,62],"points":[48,59],"in":[49],"recognition,":[50],"weaken":[52],"shielding":[54],"strong":[57],"on":[60,98],"points,":[63],"so":[64],"alleviate":[67],"attitude":[69],"sensitivity":[70],"problem":[71],"HRRP.":[73,151],"first":[76],"introduces":[77,84],"statistical":[79],"properties":[80,86],"HRRP,":[82,162],"then":[83],"parameter":[91,95,120,138],"estimation":[92,96,121,139],"methods,":[93,118],"including":[94],"based":[97],"skewness":[100],"kurtosis":[102],"normality":[103,107,126,143],"test":[104,127,144],"Jarque-Bera":[106,125,142],"test.":[108],"After":[109],"analyzing":[110],"summarizing":[112],"shortcomings":[114],"two":[117],"method":[122,140],"adaptive":[124],"was":[128],"proposed.":[129],"The":[130,152],"parameters":[133],"obtained":[134],"from":[135],"improved":[137,199],"were":[145,154],"used":[146],"preprocess":[148],"measured":[150,160,186],"results":[153],"verified":[155],"by":[156,183,200],"normplot":[157],"ship":[161,187],"which":[163],"are":[164],"more":[165,201],"close":[166],"normal":[169],"distribution;":[170],"In":[171],"meantime,":[173],"target":[175],"classification":[176],"experiment":[179],"is":[180,198],"carried":[181],"out":[182],"using":[184],"after":[190],"transform,":[192],"average":[195],"accuracy":[197],"than":[202],"4.8":[203],"percent.":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}