{"id":"https://openalex.org/W2117674024","doi":"https://doi.org/10.1109/isspa.2003.1224704","title":"Target number detection based on a order Choi-Willams distribution","display_name":"Target number detection based on a order Choi-Willams distribution","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2117674024","doi":"https://doi.org/10.1109/isspa.2003.1224704","mag":"2117674024"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2003.1224704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/A5102818422","display_name":"Liping Du","orcid":"https://orcid.org/0000-0002-9042-8451"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liping Du","raw_affiliation_strings":["Department of Electronics Engineering, Beijing Institute of Technology, Beijing, China","Dept. of Electron. Eng., Beijing Inst. of Technol., China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Beijing Inst. of Technol., China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080196575","display_name":"SU Guang-chuan","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangchuan Su","raw_affiliation_strings":["Department of Electronics Engineering, Beijing Institute of Technology, Beijing, China","Dept. of Electron. Eng., Beijing Inst. of Technol., China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Beijing Inst. of Technol., China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102818422"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15630809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"320 vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9965999722480774,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9965999722480774,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7129671573638916},{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.6481797695159912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454613208770752},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6444519758224487},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5659840703010559},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5550869107246399},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.5272361636161804},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5211315751075745},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.5194227695465088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142533183097839},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47896555066108704},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4398549795150757},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4263796806335449},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4254266619682312},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.41773903369903564},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.39530083537101746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2815396785736084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2653244733810425},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14809462428092957},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.14496976137161255},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1171959638595581},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10103908181190491}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7129671573638916},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.6481797695159912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454613208770752},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6444519758224487},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5659840703010559},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5550869107246399},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.5272361636161804},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5211315751075745},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.5194227695465088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142533183097839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47896555066108704},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4398549795150757},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4263796806335449},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4254266619682312},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.41773903369903564},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.39530083537101746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2815396785736084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2653244733810425},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14809462428092957},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.14496976137161255},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1171959638595581},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10103908181190491},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2003.1224704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/W2048508162","https://openalex.org/W2089413020","https://openalex.org/W2110056438","https://openalex.org/W2111121062","https://openalex.org/W2123145323","https://openalex.org/W2165878107","https://openalex.org/W2186733165","https://openalex.org/W6686886955"],"related_works":["https://openalex.org/W2088187919","https://openalex.org/W2119869625","https://openalex.org/W2354389511","https://openalex.org/W2140944036","https://openalex.org/W2007886977","https://openalex.org/W2350566760","https://openalex.org/W2123767128","https://openalex.org/W2901787195","https://openalex.org/W2758780897","https://openalex.org/W2003459708"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,82,111],"is":[3,22],"proposed":[4,20],"to":[5,56],"obtain":[6],"accurate":[7],"detection":[8],"of":[9,71,77,87,102,118],"moving":[10],"targets":[11,72],"in":[12,33,59,74],"the":[13,25,41,45,60,68,75,97,110,115],"synthetic":[14],"aperture":[15],"radar":[16],"(SAR)":[17],"imaging.":[18],"The":[19,36,81],"algorithm":[21],"based":[23],"on":[24,96],"a-order":[26],"Choi-Willams-distribution":[27],"-Hough":[28],"(a":[29],"-CWDH)":[30],"transform":[31,39],"introduced":[32],"this":[34],"work.":[35],"a":[37,84,119],"-CWDH":[38],"avoids":[40,83],"usual":[42],"trade-off":[43],"between":[44],"auto-term":[46],"concentration":[47],"and":[48,90],"cross-term":[49],"interference":[50],"for":[51],"linear,":[52],"chirp-like":[53],"auto-components":[54],"due":[55],"time-frequency":[57],"distribution":[58],"fractional":[61],"Fourier":[62],"domain.":[63],"We":[64],"can":[65,112],"still":[66],"get":[67],"clear":[69],"image":[70],"even":[73],"case":[76],"low":[78],"SNR":[79],"(-12dB).":[80],"long":[85],"time":[86],"coherent":[88],"processing":[89],"sophisticated":[91],"motion":[92],"compensation":[93],"by":[94],"performing":[95],"echo":[98],"within":[99],"one":[100],"burst":[101],"step":[103],"frequency":[104],"signal.":[105],"Simulation":[106],"results":[107],"indicate":[108],"that":[109],"precisely":[113],"detect":[114],"target":[116],"number":[117],"group.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}