{"id":"W4294224793","doi":"10.1051/itmconf/20224801013","title":"MIMO Radar Hardware Acceleration with Enhanced Resolution","year":2022,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Radar; Fast Fourier transform; MIMO; Beamforming; Continuous-wave radar; Graphics processing unit; Radar engineering details; Pulse-Doppler radar; Acceleration; Electronic engineering; Real-time computing; Radar imaging; Computer hardware; Algorithm; Engineering; Telecommunications; Parallel computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001105904,0.00008109554,0.0001397715,0.0000612212,0.0001179592,0.00003422311,0.0001129164,0.00002210595,0.0002749061],"category_scores_gemma":[0.000004800595,0.0000706831,0.00002074248,0.0001333638,0.00002345358,0.000136761,0.00001446294,0.00009700489,0.000002246333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002605246,"about_ca_system_score_gemma":0.0001945472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005097152,"about_ca_topic_score_gemma":0.00005364097,"domain_scores_codex":[0.9993482,0.00002869185,0.0001728315,0.0001021807,0.0002392367,0.0001088111],"domain_scores_gemma":[0.9997618,0.00001884765,0.00005652757,0.0000864862,0.00005311285,0.00002320198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002758258,0.0001146046,0.002438143,0.0008929767,0.0002681184,0.00002161204,0.004051182,0.167643,0.7134654,0.01942919,0.007588631,0.08381136],"study_design_scores_gemma":[0.002508271,0.001244334,0.005443288,0.0005568168,0.0000890012,0.00004444138,0.008696006,0.3352078,0.4520844,0.00111328,0.1917052,0.001307174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698574,0.001309375,0.03899086,0.0001098114,0.0004446957,0.0002382098,0.00002439405,0.0002230349,0.08880217],"genre_scores_gemma":[0.999395,0.00001372592,0.000317032,0.000007850804,0.00004554411,0.00002410706,0.00001199602,0.000009533245,0.0001752259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261381,"threshold_uncertainty_score":0.3010029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181471807420562,"score_gpt":0.2155615145888773,"score_spread":0.1974143338468211,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}