{"id":"https://openalex.org/W1671626987","doi":"https://doi.org/10.1109/isit.2015.7282471","title":"The metrication of LPI radar waveforms based on the asymptotic spectral distribution of wigner matrices","display_name":"The metrication of LPI radar waveforms based on the asymptotic spectral distribution of wigner matrices","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1671626987","doi":"https://doi.org/10.1109/isit.2015.7282471","mag":"1671626987"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","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/A5100450252","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0003-1703-4218"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Chen","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455752","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-8633-5829"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031792324","display_name":"Jianjiang Zhou","orcid":"https://orcid.org/0000-0002-3927-4215"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjiang Zhou","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100450252"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":5.6756,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94889232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9908999800682068,"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":0.9908999800682068,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"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":0.9764999747276306,"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/waveform","display_name":"Waveform","score":0.732168436050415},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5831150412559509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5692267417907715},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5462753772735596},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5382757782936096},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5143581628799438},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.46777406334877014},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4526509940624237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40461841225624084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2843609154224396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26496192812919617},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1380290389060974},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13514569401741028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1250990331172943}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.732168436050415},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5831150412559509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5692267417907715},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5462753772735596},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5382757782936096},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5143581628799438},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.46777406334877014},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4526509940624237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40461841225624084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2843609154224396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26496192812919617},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1380290389060974},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13514569401741028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1250990331172943},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2015.7282471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","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":8,"referenced_works":["https://openalex.org/W1598868193","https://openalex.org/W1979541448","https://openalex.org/W1999568693","https://openalex.org/W2076024899","https://openalex.org/W2132134263","https://openalex.org/W2352772753","https://openalex.org/W6635651204","https://openalex.org/W7024852995"],"related_works":["https://openalex.org/W2023004453","https://openalex.org/W187846026","https://openalex.org/W2343708061","https://openalex.org/W1564386499","https://openalex.org/W2964973346","https://openalex.org/W2464278922","https://openalex.org/W2110693695","https://openalex.org/W1488894614","https://openalex.org/W2904820090","https://openalex.org/W1831433259"],"abstract_inverted_index":{"This":[0],"paper":[1,35],"presents":[2],"an":[3],"effective":[4,115],"metric":[5],"to":[6,79,94,118],"evaluate":[7,95,119],"different":[8],"kinds":[9],"of":[10,13,42,48,56,65,73,101],"low":[11],"probability":[12],"interception":[14],"(LPI)":[15],"waveforms.":[16,97,122],"Based":[17],"on":[18],"the":[19,26,30,38,46,53,57,63,81,84,92,111],"common":[20],"view":[21],"that":[22,110],"white":[23,49],"noise":[24,50],"is":[25,77,89,114],"best":[27],"LPI":[28,96,106,120],"waveform,":[29],"method":[31],"introduced":[32],"in":[33],"this":[34],"first":[36],"use":[37,52],"asymptotic":[39],"spectral":[40,54],"distribution":[41,55],"Wigner":[43],"matrix":[44,61],"as":[45,62,91],"property":[47,64],"and":[51,116],"normalized":[58],"sample":[59],"covariance":[60],"a":[66,70,104],"specific":[67],"waveform.":[68],"Then,":[69],"numerical":[71],"approximation":[72],"Kullback-Leibler":[74],"divergence":[75],"(NA-KLD)":[76],"deduced":[78],"measure":[80],"distance":[82],"between":[83],"two":[85],"distributions.":[86],"The":[87],"NA-KLD":[88,102,113],"regarded":[90],"metrication":[93],"A":[98],"lower":[99],"value":[100],"represents":[103],"better":[105],"performance.":[107],"Simulations":[108],"show":[109],"proposed":[112],"robust":[117],"radar":[121]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}