{"id":"W2010234641","doi":"10.1109/iswcs.2006.4362361","title":"Mobile Station Location Estimation for MIMO Communication Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"MIMO; Base station; Trilateration; Computer science; Multipath propagation; Multilateration; Mobile station; Cramér–Rao bound; Angle of arrival; Real-time computing; Wireless; Antenna array; Ranging; Estimation theory; Algorithm; Antenna (radio); Computer network; Telecommunications; Azimuth; Triangulation; Mathematics; Beamforming","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":[0.00009250373,0.00007238107,0.0000710168,0.00008848147,0.00007448725,0.00005066488,0.00008303081,0.0000778516,0.000006423783],"category_scores_gemma":[0.00001850522,0.00007319255,0.00001664124,0.0001767006,0.00001745016,0.0001833287,0.000006085964,0.00003328356,0.00002255597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007687181,"about_ca_system_score_gemma":0.0000066039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015517,"about_ca_topic_score_gemma":0.00002955841,"domain_scores_codex":[0.9995487,0.00000933207,0.0002035928,0.00007030119,0.00006997087,0.00009814086],"domain_scores_gemma":[0.9996004,0.00003984712,0.00003259886,0.00019293,0.0001256507,0.000008648731],"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":[0.000001620339,0.000008582631,0.00005508971,0.00007143947,0.000003597079,2.024879e-8,0.0000463942,0.9314117,0.0003984968,0.05614339,0.006832211,0.005027443],"study_design_scores_gemma":[0.0001870441,0.00002128966,0.0001746001,0.0000157493,0.000007121275,7.007509e-7,0.0002287184,0.9799021,0.01073039,0.003049511,0.005586938,0.00009581461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01035381,0.0006449606,0.983413,0.00001615828,0.0001360538,0.0005561838,0.000009040851,0.00121479,0.003655995],"genre_scores_gemma":[0.9830893,0.00003586871,0.01557464,0.000006265709,0.00002206924,0.0004109973,0.000469389,0.00001742862,0.0003740435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9727355,"threshold_uncertainty_score":0.2984706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00727006224572358,"score_gpt":0.2232364224357468,"score_spread":0.2159663601900232,"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."}}