{"id":"W1511553427","doi":"","title":"Antenna allocation for MIMO radars with collocated antennas","year":2012,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cramér–Rao bound; MIMO; Antenna (radio); Upper and lower bounds; Computer science; Radar; Mathematical optimization; Directional antenna; Convex optimization; Electronic engineering; Algorithm; Mathematics; Regular polygon; Telecommunications; Engineering; Estimation theory","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":[0.0006131817,0.0006890817,0.0006663434,0.0002821842,0.0002727471,0.0007025278,0.0005726841,0.0007548023,0.001141814],"category_scores_gemma":[0.002182509,0.0004018459,0.0003720288,0.0007214061,0.0005215856,0.0008535197,0.0008064727,0.0006023363,0.0006099049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487004,"about_ca_system_score_gemma":0.0003751229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008069355,"about_ca_topic_score_gemma":0.001412745,"domain_scores_codex":[0.9991373,0.0004102298,0.00002668105,0.0001601405,0.0001877702,0.00007792575],"domain_scores_gemma":[0.9990816,0.000516469,0.0001340589,0.0001154254,0.0001208988,0.00003147808],"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":[0.0001498899,0.00005067457,0.0005276782,0.0001042358,0.00005381188,0.0001316633,0.00009778834,0.8810967,0.01901539,0.01875952,0.001271462,0.07874116],"study_design_scores_gemma":[0.00001906641,0.00008383222,0.0002837685,0.00001027046,0.00001632978,0.00009133367,0.00003017324,0.9880236,0.002973007,0.007115017,0.001340936,0.0000126359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01607256,0.0006655714,0.9810142,0.00009121541,0.00002707756,0.00001662162,0.00002183778,0.00008023481,0.002010704],"genre_scores_gemma":[0.7625932,0.0009909726,0.2334359,0.0001564471,0.00008720671,0.0000924635,0.00006379206,0.00004689237,0.002533169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001141814,"threshold_uncertainty_score":0.003819764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321110679396349,"score_gpt":0.2442250074737755,"score_spread":0.221013900679812,"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."}}