{"id":"W4316371652","doi":"10.18280/ts.390627","title":"An Effective Kalman Based Hybrid Beamforming for Millimeter Wave Massive MIMO System by Using 2D Overlapped Partially Connected Sub-Array Structure","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beamforming; Computer science; Electronic engineering; WSDMA; MIMO; Antenna array; Spectral efficiency; Kalman filter; Antenna (radio); Precoding; Telecommunications; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965768,0.0005788393,0.0004317889,0.0002169315,0.000285741,0.0003806202,0.0005052774,0.0004099481,0.001769123],"category_scores_gemma":[0.0003521206,0.0002598998,0.0003982976,0.0005107974,0.0002827793,0.0008012299,0.000526795,0.0003466191,0.0006830798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405202,"about_ca_system_score_gemma":0.0003973934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108406,"about_ca_topic_score_gemma":0.001901277,"domain_scores_codex":[0.9997185,0.00007362186,0.00001224653,0.00006426547,0.0001048765,0.00002642576],"domain_scores_gemma":[0.999853,0.00003389696,0.00002372819,0.00002425096,0.00005291337,0.00001217056],"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":[0.0005403425,0.00009732397,0.001594128,0.0001817937,0.0001555627,0.00028875,0.0003041219,0.2928201,0.2253799,0.02953489,0.003660745,0.4454423],"study_design_scores_gemma":[0.00002845879,0.0002938471,0.0004810875,0.00001246935,0.00002979613,0.0001988424,0.0000342644,0.9715312,0.02088382,0.002198366,0.004275774,0.0000321051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0147399,0.0001583428,0.9821625,0.00007498552,0.00003738606,0.00001700581,0.00003861901,0.0003376916,0.002433521],"genre_scores_gemma":[0.5005039,0.0004530362,0.4923994,0.0001857098,0.0000776106,0.0001203311,0.0002139667,0.00003649607,0.006009641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001769123,"threshold_uncertainty_score":0.005918324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363332599451751,"score_gpt":0.2129635873386228,"score_spread":0.1993302613441053,"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."}}