{"id":"W4392904392","doi":"10.1109/icassp48485.2024.10446162","title":"An Optimized Interleaved OFDM Chirp Orthogonal Waveform Design for Dechirped Miniature MMW MIMO Radar","year":2024,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Chirp; Waveform; Orthogonal frequency-division multiplexing; Electronic engineering; Orthogonality; MIMO; Radar; Computer science; Interference (communication); MIMO-OFDM; Engineering; Telecommunications; Beamforming; Physics; Mathematics; Optics","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":[0.0001466241,0.0004374251,0.000223223,0.000210654,0.0001476693,0.0003735712,0.0003048905,0.0002838487,0.0007684969],"category_scores_gemma":[0.0003462922,0.000188812,0.0001647852,0.0003506657,0.0001674807,0.0004755535,0.0002282752,0.0003295137,0.0002428915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945384,"about_ca_system_score_gemma":0.0003364695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768718,"about_ca_topic_score_gemma":0.0005290295,"domain_scores_codex":[0.9998503,0.0000285342,0.000007732814,0.00002647197,0.00007306122,0.00001383393],"domain_scores_gemma":[0.9998291,0.00003502894,0.00005150125,0.00001852194,0.00005521132,0.00001069644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002649929,0.0001416869,0.0011211,0.000281372,0.00006725646,0.0003098956,0.0001594321,0.2249739,0.4464687,0.03073863,0.002037755,0.2934352],"study_design_scores_gemma":[0.0000323442,0.0004013436,0.0004919667,0.00001477805,0.00002606918,0.0003973015,0.00003406449,0.9178384,0.07348266,0.001915101,0.005340582,0.00002533985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02836365,0.0003185198,0.9672458,0.00009456668,0.00003865639,0.00003566794,0.00003277795,0.0001067401,0.003763692],"genre_scores_gemma":[0.4729507,0.0006283064,0.5233825,0.0001274665,0.00005504552,0.0001047051,0.0001067071,0.00003572945,0.002608899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007684969,"threshold_uncertainty_score":0.002570808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680342009146606,"score_gpt":0.2468765909383145,"score_spread":0.2300731708468485,"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."}}