{"id":"W7125593467","doi":"10.1109/icramet67419.2025.11350153","title":"Mitigating Direct Current (DC) Offset Impairments in Zero-IF Receivers for Enhanced Radar and Remote Sensing Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Offset (computer science); Radar; Spectral leakage; Wideband; Narrowband; Continuous-wave radar; Passive radar; Frequency offset; Frequency modulation","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":[0.000450148,0.0005770271,0.0002975134,0.0002828201,0.0002398329,0.0005541584,0.0006972728,0.0005068069,0.0007384884],"category_scores_gemma":[0.001119561,0.0001705975,0.0003003322,0.0001765225,0.000476458,0.0008339802,0.0004358069,0.0006932218,0.0002743694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001094,"about_ca_system_score_gemma":0.0004475824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006518236,"about_ca_topic_score_gemma":0.0008694647,"domain_scores_codex":[0.9996736,0.00004805991,0.00001285401,0.0000484108,0.0001888575,0.00002812283],"domain_scores_gemma":[0.9995942,0.0001624201,0.0001050386,0.00005431786,0.00007262242,0.00001156805],"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":[0.0002849507,0.000240559,0.005592871,0.0003215892,0.00006870721,0.0003638412,0.0003213816,0.4188964,0.3592739,0.04087702,0.001063945,0.1726949],"study_design_scores_gemma":[0.000012056,0.0002509156,0.0007455413,0.00002602691,0.00002340197,0.000289511,0.00003704801,0.9122442,0.08061145,0.003569952,0.002171595,0.00001828981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0521885,0.0002007179,0.9443046,0.0001224626,0.00002821732,0.00002890601,0.00001403385,0.0003761799,0.002736406],"genre_scores_gemma":[0.9028574,0.0002771589,0.09490748,0.00008397564,0.00003169986,0.00002188259,0.00002489038,0.00005337791,0.001741999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007384884,"threshold_uncertainty_score":0.003628612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928310600819409,"score_gpt":0.2624342072619809,"score_spread":0.2531511012537868,"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."}}