{"id":"W2048185597","doi":"10.1109/tsp.2014.2299513","title":"Efficient Transmit Beamspace Design for Search-Free Based DOA Estimation in MIMO Radar","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Computer science; Algorithm; Transmitter power output; Radar; Beamforming; Mathematical optimization; Mathematics; Telecommunications; Transmitter; Channel (broadcasting)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008693865,0.0003154496,0.0003432373,0.000396648,0.0003365613,0.0001663308,0.0002509116,0.0001643941,0.00002495163],"category_scores_gemma":[0.000009418168,0.000317983,0.00012616,0.00052332,0.0000582661,0.0002040353,5.827584e-7,0.0003605931,0.00001021223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804472,"about_ca_system_score_gemma":0.0001165849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001847695,"about_ca_topic_score_gemma":0.0000191817,"domain_scores_codex":[0.998132,0.0001023123,0.0004774703,0.0003760677,0.0004149674,0.0004972],"domain_scores_gemma":[0.9991594,0.000333818,0.0000549639,0.0002251584,0.00009302855,0.0001336412],"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":[0.0000944022,0.00007576457,6.029161e-7,0.0006010575,0.00001133647,0.000001693454,0.0003892846,0.8471416,0.008787695,0.00000642218,0.0000363721,0.1428538],"study_design_scores_gemma":[0.001411085,0.0001366609,0.00000477448,0.0005584921,0.00003355765,0.000005263249,0.00008535561,0.925272,0.07188367,0.0001616718,0.0001136374,0.0003337652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007067629,0.0002118077,0.9911795,0.0001464727,0.000167515,0.0006246918,0.00001467054,0.0003497911,0.000237923],"genre_scores_gemma":[0.9230173,0.000001618159,0.07662664,0.00005523506,0.00005223882,0.0001214111,0.000003049976,0.00008626036,0.00003625836],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9159496,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054507220466748,"score_gpt":0.241068710353131,"score_spread":0.2205236381484636,"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."}}