{"id":"W3167504941","doi":"10.3390/s21113835","title":"Design and Implementation of an Enhanced Matched Filter for Sidelobe Reduction of Pulsed Linear Frequency Modulation Radar","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Matched filter; Frequency modulation; Radar; Reduction (mathematics); Pulse repetition frequency; Filter (signal processing); Impulse response; Modulation (music); Bandwidth (computing); Acoustics; Electronic engineering; Mathematics; Physics; Telecommunications; Engineering","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":[0.0005481074,0.0005949773,0.0004761279,0.0004955853,0.0002097265,0.0005196577,0.000941525,0.001085776,0.001197943],"category_scores_gemma":[0.0007691768,0.0002521432,0.0004952406,0.0003031791,0.0002020213,0.0006686265,0.0003059431,0.0004252051,0.0006683306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891875,"about_ca_system_score_gemma":0.0005641039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000829983,"about_ca_topic_score_gemma":0.0005870569,"domain_scores_codex":[0.9995665,0.00006440184,0.00002887175,0.00007742547,0.0002206648,0.00004209453],"domain_scores_gemma":[0.9996213,0.00008304555,0.00007074233,0.00003506668,0.0001707766,0.00001899932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005088726,0.0001959821,0.002226171,0.0004296535,0.0001329712,0.0004591841,0.0001711442,0.06602791,0.5396639,0.0117122,0.001637885,0.3768341],"study_design_scores_gemma":[0.0000722649,0.0009810524,0.001324996,0.00003933294,0.00007953447,0.00063809,0.00003154191,0.6793674,0.2998234,0.001053619,0.01652732,0.00006154669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0210548,0.0002698154,0.9764802,0.00006399663,0.00005504882,0.00005291707,0.0000261718,0.0004901547,0.001506823],"genre_scores_gemma":[0.4249085,0.0003595577,0.5713443,0.0001221102,0.00005472985,0.0001306371,0.000108222,0.00004386195,0.002928199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001197943,"threshold_uncertainty_score":0.004007518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887970702146798,"score_gpt":0.2685430521123274,"score_spread":0.2496633450908594,"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."}}