{"id":"W1980254160","doi":"10.1109/tsp.2012.2187290","title":"Moving Target Parameters Estimation in Noncoherent MIMO Radar Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Estimator; Estimation theory; Mathematics; MIMO; Algorithm; Polynomial; Control theory (sociology); Radar; Overdetermined system; Mathematical optimization; Computer science; Applied mathematics; Statistics; Beamforming; Telecommunications; Artificial intelligence","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":[0.001009049,0.0005681005,0.000634483,0.0004703904,0.000236891,0.0006554836,0.0004890877,0.0007094179,0.0003654973],"category_scores_gemma":[0.004299331,0.0005003053,0.0002935701,0.0006264383,0.0004600614,0.001189727,0.0007378317,0.0007977505,0.0002042125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217327,"about_ca_system_score_gemma":0.0004193238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037825,"about_ca_topic_score_gemma":0.001144809,"domain_scores_codex":[0.9993605,0.0002201206,0.00003688381,0.0001265087,0.0002237117,0.00003215744],"domain_scores_gemma":[0.9989691,0.0006384581,0.0001673398,0.00008765001,0.0001167876,0.00002064489],"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":[0.000142812,0.00003749328,0.001249393,0.0002137518,0.00007618636,0.0002072216,0.0002096663,0.8193552,0.02825973,0.0183322,0.0005253661,0.1313909],"study_design_scores_gemma":[0.00001146225,0.00004074094,0.0005961211,0.0000102961,0.00001339421,0.00008243415,0.00001947314,0.9882877,0.004874971,0.005555874,0.0004859173,0.00002159923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151958,0.0006044543,0.9773176,0.00007259918,0.00001626956,0.000008378525,0.00001914726,0.0000900797,0.0003519586],"genre_scores_gemma":[0.6708597,0.001988662,0.3250059,0.0001186987,0.000105993,0.00005173032,0.0001873179,0.00006436156,0.001617683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001037825,"threshold_uncertainty_score":0.005336404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727727621421939,"score_gpt":0.2334679728516554,"score_spread":0.216190696637436,"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."}}