{"id":"W3217692928","doi":"10.1109/tsp.2021.3129599","title":"Analysis of Propagation Delay Effects on Bearings-Only Fusion of Heterogeneous Sensors","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Estimator; Cramér–Rao bound; Propagation delay; Control theory (sociology); Propagation of uncertainty; SIGNAL (programming language); Taylor series; Mean squared error; Upper and lower bounds; Degradation (telecommunications); Bearing (navigation); Signal processing; Computer science; Mathematics; Algorithm; Statistics; Telecommunications; Mathematical analysis","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":[0.0002078503,0.000176167,0.0003576715,0.0004513022,0.0002187931,0.00007591735,0.0002742608,0.000113659,0.00003188754],"category_scores_gemma":[0.000009442781,0.0001657426,0.000224451,0.001920766,0.00004790317,0.0002455441,0.000005511204,0.0002377324,0.000005199919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000350543,"about_ca_system_score_gemma":0.0001130348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001373896,"about_ca_topic_score_gemma":0.00001202339,"domain_scores_codex":[0.9981989,0.0001463413,0.0004378824,0.0004755261,0.0005271138,0.0002142299],"domain_scores_gemma":[0.9986518,0.0003068051,0.0002477971,0.0004100287,0.0003056405,0.00007793038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005403191,0.0002625042,0.00006819081,0.0001241837,0.0001652647,0.0000381247,0.0004263345,0.5966593,0.04940759,0.00003832413,0.000006226898,0.3527499],"study_design_scores_gemma":[0.0002158224,0.0001686598,0.0002174806,0.0002449481,0.0002303433,0.00002566884,0.0000176878,0.4197076,0.57897,0.00003669777,0.00002329252,0.000141827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2899044,0.00006898533,0.7095985,0.0000382671,0.0001482255,0.00007570975,0.000009951332,0.0000713934,0.00008466672],"genre_scores_gemma":[0.9910791,0.00002008312,0.008714737,0.00007989544,0.00002530389,0.000005770092,0.00000869358,0.00001387908,0.00005252372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7011748,"threshold_uncertainty_score":0.6758787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357511210206705,"score_gpt":0.2453257148013083,"score_spread":0.2317506026992412,"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."}}