{"id":"https://openalex.org/W2399603587","doi":"https://doi.org/10.1109/icassp.2016.7472549","title":"A segment-sliding reconstruction scheme for pulsed radar echoes with sub-Nyquist sampling","display_name":"A segment-sliding reconstruction scheme for pulsed radar echoes with sub-Nyquist sampling","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2399603587","doi":"https://doi.org/10.1109/icassp.2016.7472549","mag":"2399603587"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5065066963","display_name":"Suling Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suling Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055323092","display_name":"Feng Xi","orcid":"https://orcid.org/0000-0002-4170-3023"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xi","raw_affiliation_strings":["Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031779100","display_name":"Shengyao Chen","orcid":"https://orcid.org/0000-0002-4546-5843"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyao Chen","raw_affiliation_strings":["Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074195801","display_name":"Yimin D. Zhang","orcid":"https://orcid.org/0000-0002-4625-209X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin D. Zhang","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Temple University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376842","display_name":"Zhong Liu","orcid":"https://orcid.org/0000-0001-9264-0723"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Liu","raw_affiliation_strings":["Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03982182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4603","last_page":"4607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9991999864578247,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987999796867371,"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/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6945568323135376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6234173774719238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614825427532196},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5658215284347534},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5194132328033447},{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.4854753315448761},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43798452615737915},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4216678738594055},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4158661961555481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3196457028388977},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.3193431496620178},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1654987931251526},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08871567249298096}],"concepts":[{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6945568323135376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6234173774719238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614825427532196},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5658215284347534},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5194132328033447},{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.4854753315448761},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43798452615737915},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4216678738594055},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4158661961555481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3196457028388977},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3193431496620178},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1654987931251526},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08871567249298096},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W189254822","https://openalex.org/W1551682146","https://openalex.org/W1975260365","https://openalex.org/W1980300788","https://openalex.org/W2004502175","https://openalex.org/W2005536015","https://openalex.org/W2013606570","https://openalex.org/W2043422651","https://openalex.org/W2107703637","https://openalex.org/W2123732795","https://openalex.org/W2126320002","https://openalex.org/W2129131372","https://openalex.org/W2141116650","https://openalex.org/W2185216402","https://openalex.org/W2533057217","https://openalex.org/W2761247391","https://openalex.org/W2964167436"],"related_works":["https://openalex.org/W2497512603","https://openalex.org/W2071548530","https://openalex.org/W4387870235","https://openalex.org/W3001645640","https://openalex.org/W2543797074","https://openalex.org/W2568992563","https://openalex.org/W2354835911","https://openalex.org/W2468414543","https://openalex.org/W2006987799","https://openalex.org/W3000185773"],"abstract_inverted_index":{"For":[0],"radar":[1],"echoes":[2],"sampled":[3],"at":[4],"sub-Nyquist":[5],"rates,":[6],"it":[7],"is":[8,59,77,109,123],"impractical,":[9],"if":[10],"not":[11],"impossible,":[12],"to":[13,42],"recover":[14,43],"full-range":[15],"Nyquist":[16,45],"samples":[17,46],"because":[18],"of":[19,30,54,80,98,117],"huge":[20],"storage":[21],"and":[22,72],"computational":[23],"loads.":[24],"By":[25],"exploiting":[26],"the":[27,31,44,55,61,68,74,81,84,96,118],"banded":[28],"structure":[29],"measurement":[32,62],"matrix,":[33],"we":[34],"develop":[35],"a":[36,101],"novel":[37],"segment-sliding":[38],"reconstruction":[39],"(SegSR)":[40],"scheme":[41,58],"through":[47],"low-cost":[48],"segment-based":[49,113],"computations.":[50],"An":[51],"important":[52],"feature":[53],"proposed":[56,110,119],"SegSR":[57,120],"that":[60],"sub-matrix":[63],"in":[64],"each":[65],"segment":[66,92],"satisfies":[67],"restricted":[69],"isometry":[70],"property":[71],"thus":[73],"recovery":[75],"performance":[76],"guaranteed.":[78],"Because":[79],"segmenting":[82],"reconstruction,":[83],"adjacent":[85],"segments":[86],"will":[87],"introduce":[88],"interferences":[89],"for":[90,111],"current":[91],"reconstruction.":[93],"To":[94],"reduce":[95],"effect":[97],"such":[99],"interference,":[100],"two-step":[102],"orthogonal":[103],"matching":[104],"pursuit":[105],"process":[106],"(TOMPP)":[107],"algorithm":[108],"improved":[112],"reconstructions.":[114],"The":[115],"effectiveness":[116],"with":[121],"TOMPP":[122],"validated":[124],"by":[125],"simulations.":[126]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
