{"id":"https://openalex.org/W2573260002","doi":"https://doi.org/10.1145/3015166.3015195","title":"HRRP Reconstruction of Sub-Nyquist Sampled Chirp Signals with CS-based Dechirping","display_name":"HRRP Reconstruction of Sub-Nyquist Sampled Chirp Signals with CS-based Dechirping","publication_year":2016,"publication_date":"2016-11-21","ids":{"openalex":"https://openalex.org/W2573260002","doi":"https://doi.org/10.1145/3015166.3015195","mag":"2573260002"},"language":"en","primary_location":{"id":"doi:10.1145/3015166.3015195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","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/A5019193732","display_name":"Zhaoyu Gu","orcid":"https://orcid.org/0000-0003-2702-3539"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyu Gu","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776069","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3421-3835"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102966200","display_name":"Guoyu Wang","orcid":"https://orcid.org/0000-0003-2472-5519"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Wang","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/chirp","display_name":"Chirp","score":0.8588907718658447},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6898298263549805},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5412989854812622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5127133131027222},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.4796614944934845},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.4144771099090576},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.354786217212677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32701945304870605},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2933617830276489},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.293015718460083},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2917868494987488},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.23695895075798035},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.17088046669960022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16430920362472534},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1611262559890747},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.15943241119384766},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.06760856509208679}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.8588907718658447},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6898298263549805},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5412989854812622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127133131027222},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.4796614944934845},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.4144771099090576},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.354786217212677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32701945304870605},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2933617830276489},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.293015718460083},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2917868494987488},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.23695895075798035},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.17088046669960022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16430920362472534},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1611262559890747},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.15943241119384766},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.06760856509208679},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3015166.3015195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1483327278","https://openalex.org/W1538006934","https://openalex.org/W2067988131","https://openalex.org/W2094129260","https://openalex.org/W2120596570","https://openalex.org/W2120991191","https://openalex.org/W2149877024","https://openalex.org/W2292341521","https://openalex.org/W2296616510","https://openalex.org/W2324857755","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2210983845","https://openalex.org/W2096995356","https://openalex.org/W2545081564","https://openalex.org/W2054047433","https://openalex.org/W2124861257","https://openalex.org/W2119250743","https://openalex.org/W1998424779","https://openalex.org/W2093801379","https://openalex.org/W2292746209","https://openalex.org/W1973881903"],"abstract_inverted_index":{"Benefiting":[0],"bythe":[1],"large":[2],"time-bandwidth":[3],"product,":[4],"chirp":[5,23,47,61,76],"signals":[6,62,77],"arefrequentlyadopted":[7],"in":[8],"modern":[9],"radars.":[10],"In":[11],"this":[12],"paper,":[13],"the":[14,31,40,44,52,58,73,95,98],"influence":[15],"on":[16],"thehigh-resolution":[17],"range":[18,41,90],"profile":[19,91],"(HRRP)":[20,92],"reconstruction":[21],"of":[22,43,97],"waveform":[24],"after":[25],"sub-Nyquist":[26,45,59,74],"sampling":[27],"is":[28],"investigated,":[29],"where":[30],"(compressive":[32],"sensing)":[33],"CS-based":[34,64],"dechirpingalgorithms":[35],"are":[36,66,83],"applied":[37],"to":[38,87],"achieve":[39],"compression":[42],"sampled":[46,60,75],"signals.":[48],"The":[49,68],"conditions":[50],"that":[51],"HRRP":[53],"can":[54],"be":[55],"recovered":[56],"from":[57],"via":[63],"dechirping":[65],"addressed.":[67],"simulated":[69],"echoes,":[70],"formed":[71],"by":[72,80,85],"and":[78],"scattered":[79],"moving":[81],"targets,":[82],"collected":[84],"radars":[86],"yieldthe":[88],"high-resolution":[89],"which":[93],"validate":[94],"correctness":[96],"analyses.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
