{"id":"W3112322895","doi":"10.1109/radarconf2043947.2020.9266505","title":"Performance Analysis and Evaluation of Implementing the MVDR Beamformer for the Circular Antenna Array","year":2020,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Antenna array; Antenna (radio); Circular buffer; Radiation pattern; Beamforming; Array gain; Computer science; Antenna measurement; Acoustics; Mathematics; Electronic engineering; Physics; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116712,0.0007310312,0.0004721063,0.0003711462,0.0001875473,0.0006704339,0.0005677465,0.0007269894,0.003281626],"category_scores_gemma":[0.003842726,0.0001919405,0.0002713566,0.0004532399,0.0003811377,0.0006241192,0.0004244721,0.0002652351,0.001055258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005683215,"about_ca_system_score_gemma":0.000639256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838634,"about_ca_topic_score_gemma":0.001694469,"domain_scores_codex":[0.9990008,0.0003697366,0.00006223533,0.0001487757,0.0003269854,0.00009135133],"domain_scores_gemma":[0.9976159,0.001238655,0.0002042511,0.0002122173,0.0006760304,0.00005298166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001948527,0.0001772933,0.003911912,0.0006922545,0.0002025701,0.0002988532,0.0001757131,0.5927464,0.1333663,0.007530917,0.001890384,0.2570589],"study_design_scores_gemma":[0.00003900396,0.001298148,0.001517715,0.00002020281,0.00005774575,0.000306565,0.00004887581,0.9377657,0.05650618,0.0005500239,0.001860327,0.00002945232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1080619,0.0008755263,0.8821051,0.0002154735,0.00006698615,0.0001194152,0.0001302891,0.001391729,0.007033573],"genre_scores_gemma":[0.7649494,0.0006439746,0.2309656,0.000158873,0.000031551,0.00009079848,0.0002827751,0.0001067791,0.002770267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003281626,"threshold_uncertainty_score":0.0109781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332253084297614,"score_gpt":0.2481843636500331,"score_spread":0.2148618328070569,"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."}}