{"id":"W3012983481","doi":"10.1186/s13638-020-1637-4","title":"Channel estimation based on the PSS-MUSIC for millimeter-wave MIMO systems equipped with co-prime arrays","year":2020,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Channel (broadcasting); Prime (order theory); Path (computing); Algorithm; Aperture (computer memory); MIMO; Direction of arrival; Extremely high frequency; Computational complexity theory; Telecommunications; Acoustics; Mathematics; Physics; Antenna (radio)","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":[0.0004139675,0.0008054997,0.0006028161,0.0003388781,0.0003331149,0.0004215761,0.0004048286,0.0005655613,0.001086389],"category_scores_gemma":[0.001472903,0.0002619035,0.0004204968,0.0005408584,0.0003491789,0.0008557294,0.0007551425,0.0006340061,0.0003770859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073642,"about_ca_system_score_gemma":0.0006049555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692934,"about_ca_topic_score_gemma":0.002192289,"domain_scores_codex":[0.999576,0.000116521,0.0000193914,0.00007651526,0.0001678716,0.00004365108],"domain_scores_gemma":[0.9995523,0.0001832969,0.00005245583,0.00005961629,0.0001291939,0.00002314441],"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":[0.0008239706,0.000105376,0.003349406,0.0002787038,0.0001681328,0.0003908677,0.0002029173,0.4970767,0.08199316,0.01280114,0.003368329,0.3994413],"study_design_scores_gemma":[0.00001637156,0.00007516351,0.000340025,0.000006885814,0.00001636013,0.0001036263,0.00002111956,0.9917291,0.006055797,0.001031132,0.0005906067,0.00001376857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03084927,0.0003345087,0.9666042,0.0001481118,0.00008676853,0.00002463666,0.00004197533,0.0003824448,0.001528071],"genre_scores_gemma":[0.6506183,0.0005964433,0.3459004,0.000161357,0.0001149112,0.00007831729,0.0001537066,0.0000392268,0.002337291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001692934,"threshold_uncertainty_score":0.003634334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056793703229121,"score_gpt":0.2911004673608341,"score_spread":0.185421097037922,"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."}}