{"id":"W2104626449","doi":"10.1109/ccece.2011.6030683","title":"An FPGA-based 77 GHZ MEMS radar signal processing system for automotive collision avoidance","year":2011,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Radar; Field-programmable gate array; Continuous-wave radar; SIGNAL (programming language); Microelectromechanical systems; Computer science; Signal processing; Positioning system; Electronic engineering; Engineering; Radar imaging; Acoustics; Computer hardware; Telecommunications; Physics; Optoelectronics","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":[0.0001866812,0.0004452394,0.000299549,0.000394891,0.0001768997,0.0003663134,0.000569299,0.000228887,0.007633803],"category_scores_gemma":[0.0002651469,0.0001356598,0.0001275582,0.0002053457,0.0001017364,0.0002117424,0.0001322568,0.0002501248,0.001691632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212944,"about_ca_system_score_gemma":0.0003915559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043419,"about_ca_topic_score_gemma":0.001232348,"domain_scores_codex":[0.9998349,0.00002279114,0.000008743909,0.00002702071,0.00007546212,0.00003114487],"domain_scores_gemma":[0.9998993,0.00002250029,0.00001131754,0.00001244202,0.00004494849,0.000009481505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001013775,0.0001772508,0.003424299,0.0005495943,0.0001345777,0.0007090336,0.0001767972,0.02154597,0.3893301,0.007072855,0.01564658,0.5602191],"study_design_scores_gemma":[0.0005683908,0.003294116,0.01635691,0.0001941856,0.0003181786,0.003307649,0.0001323436,0.294357,0.5777975,0.001456248,0.1021037,0.0001137159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2681361,0.001662579,0.6702732,0.000442796,0.0005282453,0.0006410792,0.0007349771,0.0167457,0.04083535],"genre_scores_gemma":[0.7945207,0.0004415563,0.1883369,0.0002839324,0.00008172793,0.0002358759,0.0006179126,0.0001209007,0.01536043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007633803,"threshold_uncertainty_score":0.02553761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631147417946189,"score_gpt":0.2254216290099017,"score_spread":0.1991101548304398,"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."}}