{"id":"https://openalex.org/W2163059050","doi":"https://doi.org/10.1109/sam.2014.6882450","title":"Time domain CS kernel design for mitigation of wall reflections in urban radar","display_name":"Time domain CS kernel design for mitigation of wall reflections in urban radar","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2163059050","doi":"https://doi.org/10.1109/sam.2014.6882450","mag":"2163059050"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2014.6882450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2014.6882450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5015909551","display_name":"Yujie Gu","orcid":"https://orcid.org/0000-0003-1312-1605"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujie Gu","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Oklahoma, Norman, Oklahoma"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Oklahoma, Norman, Oklahoma","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008913364","display_name":"Nathan A. Goodman","orcid":"https://orcid.org/0000-0002-7939-1395"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan A. Goodman","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Oklahoma, Norman, Oklahoma"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Oklahoma, Norman, Oklahoma","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9661,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76475962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6630609035491943},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6515761613845825},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6151860356330872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702030062675476},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5453450679779053},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5353743433952332},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4954153299331665},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.47134798765182495},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4397905766963959},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39806661009788513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3585432171821594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3343576192855835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32236599922180176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24575668573379517},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2101864516735077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1992422640323639},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13716939091682434},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1121549904346466}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6630609035491943},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6515761613845825},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6151860356330872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702030062675476},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5453450679779053},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5353743433952332},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4954153299331665},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.47134798765182495},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4397905766963959},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39806661009788513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3585432171821594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3343576192855835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32236599922180176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24575668573379517},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2101864516735077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1992422640323639},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13716939091682434},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1121549904346466},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2014.6882450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2014.6882450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1840522340","https://openalex.org/W1991198335","https://openalex.org/W2038063001","https://openalex.org/W2069667906","https://openalex.org/W2129151684","https://openalex.org/W2137502890","https://openalex.org/W2140367840","https://openalex.org/W4250955649","https://openalex.org/W6638967219","https://openalex.org/W6659804474"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2157715872","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041"],"abstract_inverted_index":{"In":[0,74],"this":[1,75,122],"paper,":[2,76],"we":[3,77],"use":[4],"the":[5,23,28,33,37,48,50,60,66,69,79,117,138,141],"task-specific":[6],"information":[7],"(TSI)":[8],"metric":[9],"to":[10,27,87],"optimize":[11],"a":[12,20,127],"compressive":[13,84],"sensing":[14],"kernel":[15,106],"for":[16,81],"target":[17,24,56,67],"detection":[18],"behind":[19],"wall.":[21],"When":[22],"is":[25],"close":[26],"wall,":[29],"strong":[30],"reflections":[31,42,57,98],"from":[32,47,68],"wall":[34,41,54,70,97,119],"can":[35,115,135],"obscure":[36],"target.":[38],"Even":[39],"if":[40],"are":[43],"estimated":[44],"and":[45,55,91],"subtracted":[46],"measurement,":[49],"dynamic":[51,92],"range":[52,93],"between":[53],"may":[58],"saturate":[59],"analog-to-digital":[61],"converter":[62],"(ADC).":[63],"Furthermore,":[64],"resolving":[65],"requires":[71],"high":[72],"bandwidth.":[73],"consider":[78],"potential":[80],"using":[82],"custom-designed":[83],"measurement":[85],"kernels":[86,113],"mitigate":[88],"these":[89],"resolution":[90],"problems.":[94],"We":[95],"treat":[96],"as":[99],"colored":[100],"noise":[101],"in":[102,111,131],"our":[103],"Gaussian":[104],"Mixture-based":[105],"optimization":[107],"procedure,":[108],"which":[109],"results":[110],"custom-generated":[112],"that":[114],"reject":[116],"dominant":[118],"reflections.":[120],"Although":[121],"places":[123],"more":[124],"burden":[125],"on":[126],"receivers":[128],"analog":[129],"components,":[130],"some":[132],"scenarios":[133],"it":[134],"significantly":[136],"improve":[137],"situation":[139],"at":[140],"ADC.":[142]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}