{"id":"W2097259336","doi":"10.1109/milcom.2009.5379917","title":"BER analysis of UWB systems in the presence of narrowband interference in Lognormal multipath fading channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fading; Multipath propagation; Narrowband; Nakagami distribution; Computer science; Ultra-wideband; Electronic engineering; Fading distribution; Interference (communication); Channel (broadcasting); Diversity scheme; Bit error rate; Telecommunications; Engineering; Rayleigh fading","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":[0.0008576175,0.000502758,0.0006499329,0.0007277702,0.0002999919,0.0005368218,0.0004057267,0.0008227332,0.001290196],"category_scores_gemma":[0.003309584,0.0001895449,0.0002897258,0.0006789536,0.0005541297,0.0007293233,0.0004097567,0.0004567101,0.0004026489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007069673,"about_ca_system_score_gemma":0.0003208747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420226,"about_ca_topic_score_gemma":0.00119254,"domain_scores_codex":[0.9990299,0.0002774233,0.00004716724,0.00009011076,0.000391849,0.0001636746],"domain_scores_gemma":[0.9962882,0.002491466,0.0004416077,0.0002026744,0.0005307322,0.00004528511],"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":[0.0006210197,0.0000576987,0.008649347,0.0002710898,0.0001288022,0.0008630371,0.0003250655,0.9017454,0.04748671,0.008929735,0.0004861976,0.03043599],"study_design_scores_gemma":[0.000006568763,0.0001353367,0.004812702,0.00002167472,0.00004101681,0.0004826511,0.00006701691,0.9836215,0.009183862,0.001268289,0.0003363505,0.00002288992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869065,0.003779989,0.1976007,0.0002663782,0.000058626,0.00002664108,0.0001892842,0.0005525965,0.0106193],"genre_scores_gemma":[0.9935347,0.0007218831,0.004495946,0.00002431939,0.00001960192,0.000009657767,0.00005171558,0.00002012305,0.001121955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002420226,"threshold_uncertainty_score":0.005129457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650611586619011,"score_gpt":0.2412571324430989,"score_spread":0.2247510165769088,"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."}}