{"id":"W1917266630","doi":"10.1109/wcnc.1999.796795","title":"A new robust beamforming method with antennae calibration errors","year":2003,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Polyhedron; Beamforming; Calibration; Computer science; Constraint (computer-aided design); Regular polygon; Algorithm; Quadratic programming; Robustness (evolution); Simple (philosophy); Mathematical optimization; Adaptive beamformer; Quadratic equation; Mathematics; Geometry; Telecommunications","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":[0.0006595303,0.001081719,0.0007752647,0.0005990335,0.0003087778,0.0006965897,0.001140464,0.001162369,0.003047383],"category_scores_gemma":[0.001090393,0.000569158,0.0008443169,0.0006205009,0.0005763428,0.001584068,0.0009178712,0.001016389,0.001538621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383953,"about_ca_system_score_gemma":0.0006844779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000819497,"about_ca_topic_score_gemma":0.0008169292,"domain_scores_codex":[0.9992598,0.0001644361,0.00003264468,0.0001624522,0.0003395414,0.00004117608],"domain_scores_gemma":[0.9996529,0.0001167968,0.00004881727,0.00004177119,0.0001160522,0.00002361315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001268052,0.00005619289,0.000453834,0.0004045649,0.0001974477,0.0002377886,0.0001376917,0.313732,0.1074342,0.08032368,0.006608017,0.4902878],"study_design_scores_gemma":[0.00004469268,0.00009770766,0.0001668094,0.00002474962,0.00004782494,0.0003088277,0.00001483731,0.9511871,0.01692961,0.01272524,0.01838112,0.00007146353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000360866,0.0001116426,0.9989089,0.00004049778,0.00003480356,0.00000603519,0.00001075444,0.0000960652,0.0004304457],"genre_scores_gemma":[0.04665484,0.0006648898,0.9477147,0.0001692929,0.0002217026,0.0001175167,0.0001219352,0.0001216792,0.004213457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003047383,"threshold_uncertainty_score":0.01019448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068976243040762,"score_gpt":0.2704791325556544,"score_spread":0.2497893701252467,"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."}}