{"id":"W2905283751","doi":"10.1186/s13638-018-1306-z","title":"Time delay estimation for UWB non coherent receiver in indoor environment, from theory to practice","year":2018,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; University of Ottawa; Université du Québec à Chicoutimi","funders":"University of Ottawa","keywords":"Cramér–Rao bound; Computer science; Estimator; Upper and lower bounds; Algorithm; Channel (broadcasting); Multipath propagation; Mean squared error; Energy (signal processing); Estimation theory; Autocorrelation; Delay spread; Statistics; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006776316,0.0001557556,0.000194123,0.0001882016,0.0004096516,0.00007972185,0.0007123202,0.0001099347,0.0000257482],"category_scores_gemma":[0.00005789343,0.0001579912,0.00003694444,0.0002181025,0.0001308365,0.0002071649,0.0001518453,0.0005358297,0.00005635753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484238,"about_ca_system_score_gemma":0.00001393319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007996365,"about_ca_topic_score_gemma":0.00003639398,"domain_scores_codex":[0.998914,0.0002272672,0.000392326,0.0001418472,0.000098034,0.0002265328],"domain_scores_gemma":[0.9973124,0.001438894,0.0001419369,0.0009717718,0.00005595004,0.00007901006],"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":[0.0001525793,0.0001802073,0.0005099576,0.000005473128,0.0001292852,0.000002482607,0.002401533,0.006928132,0.003498647,0.0009340905,0.0009645284,0.9842931],"study_design_scores_gemma":[0.001179565,0.0003940618,0.00159517,0.0005155966,0.00008689998,0.00007640148,0.0004173481,0.641884,0.0007397041,0.005188863,0.3474554,0.0004669965],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5696655,0.005229233,0.4143758,0.004755018,0.000499677,0.001130148,0.00002433542,0.0002579571,0.0040623],"genre_scores_gemma":[0.939449,0.005379493,0.05459525,0.0002623286,0.000117825,0.00009547354,0.00002652746,0.00003826514,0.00003585448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9838261,"threshold_uncertainty_score":0.6442695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496382219545003,"score_gpt":0.2607066207605075,"score_spread":0.2457427985650575,"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."}}