{"id":"W2093191848","doi":"10.1109/cnsr.2008.17","title":"Impact of Multipath Interference on the Performance of an UWB Fast Acquisition System for Ranging in an Indoor Wireless Channel","year":2008,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ranging; Multipath propagation; Interference (communication); Computer science; Multipath interference; Ultra-wideband; Fading; Channel (broadcasting); Additive white Gaussian noise; Electronic engineering; Monte Carlo method; Wireless; Delay spread; Noise (video); Wideband; Telecommunications; Engineering; Mathematics; Statistics","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":[0.0007878991,0.0005206418,0.0005122264,0.0003393393,0.0005240983,0.0005329507,0.0003091054,0.0006187847,0.0006650524],"category_scores_gemma":[0.004882349,0.0002107518,0.0002787875,0.000311559,0.0004126717,0.0005594582,0.0004607194,0.0003656001,0.0002155413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054887,"about_ca_system_score_gemma":0.0003569293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007980065,"about_ca_topic_score_gemma":0.0005077072,"domain_scores_codex":[0.9994285,0.0001504136,0.00002344465,0.0000423518,0.0002616023,0.0000936641],"domain_scores_gemma":[0.9961665,0.002893902,0.0003030969,0.0002048944,0.000355429,0.00007612682],"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":[0.001974135,0.00008984019,0.01979476,0.0002542477,0.0002910834,0.00133931,0.0004976229,0.6913027,0.2224915,0.002351469,0.0001795378,0.05943384],"study_design_scores_gemma":[0.00007805078,0.002740382,0.0209917,0.00003760077,0.0003964099,0.003118754,0.0002089401,0.6757453,0.2943967,0.001172333,0.001011551,0.0001022978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553428,0.0003619175,0.1419607,0.0000658686,0.00002262662,0.00001821109,0.00003111068,0.0003887869,0.001807969],"genre_scores_gemma":[0.9940422,0.00009316438,0.005635338,0.0000172446,0.000006117866,0.000005504733,0.00001330125,0.00002320516,0.0001638353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007980065,"threshold_uncertainty_score":0.004166842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934940314366413,"score_gpt":0.2435030186795138,"score_spread":0.2241536155358497,"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."}}