{"id":"W4328030162","doi":"10.1109/icipnp57450.2022.00025","title":"Range Imaging of Integrated Radar Communication Signal Based on OFDM","year":2022,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Continuous-wave radar; Pulse-Doppler radar; Radar imaging; Radar; Computer science; Orthogonal frequency-division multiplexing; Radar engineering details; SIGNAL (programming language); Bistatic radar; Electronic engineering; Offset (computer science); Remote sensing; Telecommunications; Engineering; Geology","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":[0.0001610693,0.0003024957,0.0002511241,0.0002171697,0.0001287995,0.0003299677,0.0002933298,0.0003057923,0.001340291],"category_scores_gemma":[0.0007021627,0.0001016573,0.0002233103,0.0002901006,0.00020089,0.0009960106,0.0002827211,0.0002879451,0.000280742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767067,"about_ca_system_score_gemma":0.0001882347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005043516,"about_ca_topic_score_gemma":0.0004049784,"domain_scores_codex":[0.9997876,0.00002397678,0.000008477591,0.00003945276,0.0001216252,0.0000188879],"domain_scores_gemma":[0.999816,0.00006265751,0.000027203,0.00002125665,0.00006688744,0.000006112506],"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":[0.000394098,0.0001113271,0.003966024,0.0005841326,0.00007854951,0.0007004702,0.0004615243,0.09886099,0.5312911,0.0293001,0.001945379,0.3323064],"study_design_scores_gemma":[0.00003833312,0.0002898488,0.00218209,0.00002873319,0.00004737565,0.001489341,0.00008449006,0.8598281,0.1283596,0.00355673,0.004059621,0.00003588078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184623,0.0008444873,0.8702568,0.0001785613,0.00007128464,0.00003371178,0.0000509223,0.0004378098,0.009664134],"genre_scores_gemma":[0.8467931,0.0007519844,0.1479246,0.0001055233,0.00006174696,0.00003822463,0.0001090639,0.00004879521,0.004166898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001340291,"threshold_uncertainty_score":0.004483759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008726586955898282,"score_gpt":0.2008422313308749,"score_spread":0.1921156443749766,"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."}}