{"id":"W2007409848","doi":"10.1007/bf02687975","title":"A matched filter bank based DOA estimation for asynchronous multipath CDMA channels","year":2005,"lang":"en","type":"article","venue":"Journal of Electronics (China)","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multipath propagation; Computer science; Code division multiple access; Asynchronous communication; Algorithm; Direction of arrival; Telecommunications link; Matched filter; Antenna array; Antenna (radio); Filter (signal processing); Base station; Electronic engineering; Real-time computing; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0005820315,0.0005660165,0.0006393261,0.0007852094,0.0004440818,0.0006821065,0.0006111853,0.000880352,0.002104608],"category_scores_gemma":[0.001937169,0.0004818717,0.0004379842,0.0006902684,0.0002289489,0.0006670748,0.0005358913,0.0005165822,0.001324481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590471,"about_ca_system_score_gemma":0.0008251282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431917,"about_ca_topic_score_gemma":0.004365026,"domain_scores_codex":[0.9995925,0.00009144065,0.00002755717,0.000081146,0.0001671278,0.00004020495],"domain_scores_gemma":[0.9994449,0.0002383486,0.00004713287,0.00005929267,0.0001853694,0.00002490326],"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":[0.0009785688,0.0001705118,0.002365245,0.0001980164,0.0002017608,0.0002112398,0.00009171196,0.07115228,0.1687794,0.005928345,0.002618349,0.7473046],"study_design_scores_gemma":[0.000116085,0.0002241863,0.002619816,0.00002774057,0.0001540143,0.0003047599,0.0000262577,0.9337494,0.05617587,0.001507809,0.005040539,0.0000534082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01318222,0.000271496,0.9850317,0.00006131992,0.00009139544,0.00002273429,0.00006058795,0.0004752495,0.0008032815],"genre_scores_gemma":[0.2447795,0.0005921978,0.748483,0.0001493414,0.000194306,0.0001269209,0.0003552101,0.00006284755,0.005256641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002431917,"threshold_uncertainty_score":0.00704062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116012219285591,"score_gpt":0.271751095949009,"score_spread":0.2605909737561531,"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."}}