{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004608435,0.000801362,0.0006839804,0.0005736582,0.0004417611,0.0006179694,0.0004789793,0.0006001132,0.002515528],"category_scores_gemma":[0.00273231,0.000321069,0.0003909782,0.0008663099,0.0003044124,0.0006399802,0.0006566097,0.0008397456,0.001535471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005612674,"about_ca_system_score_gemma":0.0006590296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520648,"about_ca_topic_score_gemma":0.0034335,"domain_scores_codex":[0.9993281,0.000210737,0.00002521969,0.0001555199,0.0002279907,0.00005233385],"domain_scores_gemma":[0.9992806,0.0003445912,0.0001027967,0.00008450096,0.0001707136,0.00001676812],"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":[0.0001669137,0.00004442921,0.001900313,0.0003764871,0.0001000771,0.0002425563,0.0001384961,0.5875394,0.0224394,0.04289128,0.007643233,0.3365173],"study_design_scores_gemma":[0.00001627592,0.00006974568,0.001161327,0.0000385104,0.00002694863,0.0001993811,0.00003772853,0.9675938,0.005062081,0.01638085,0.009374019,0.00003922144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00217963,0.0007667525,0.9955763,0.00009476129,0.00006005944,0.00001376013,0.00006872053,0.0002463123,0.000993795],"genre_scores_gemma":[0.4280142,0.00482477,0.5580251,0.0002405406,0.0005017273,0.0002010937,0.0008835644,0.00009772158,0.007211388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003520648,"threshold_uncertainty_score":0.008415282,"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."}}