{"id":"W4415048550","doi":"10.1109/lwc.2025.3620133","title":"ZC-OFDM-Aided Waveform Design for LEO Satellite Integrated Communication and Navigation","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranging; Waveform; Low earth orbit; Satellite; Sequence (biology); Communications satellite; Multiplexing; Satellite navigation; Differential (mechanical device); Bit error rate","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":[0.000160482,0.0003061225,0.0001779227,0.0002165672,0.0001795579,0.0003946048,0.0003864513,0.0003633861,0.0008084395],"category_scores_gemma":[0.0004435993,0.0001110641,0.0001255504,0.0003545255,0.0001644223,0.000313173,0.0002207536,0.0003334793,0.0003461246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060239,"about_ca_system_score_gemma":0.0005951016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054923,"about_ca_topic_score_gemma":0.00179965,"domain_scores_codex":[0.9998775,0.00002477907,0.000006116672,0.00002131431,0.00005523342,0.00001522616],"domain_scores_gemma":[0.999822,0.00003513878,0.00003859041,0.00001538831,0.00007976613,0.000009140431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002568575,0.00008192891,0.001836959,0.0002743212,0.0000606151,0.0003292339,0.0001573836,0.1932541,0.3108588,0.0398758,0.002222025,0.450792],"study_design_scores_gemma":[0.00003766113,0.000355193,0.0006699319,0.00002408187,0.00003008468,0.0004084852,0.0000376916,0.9308082,0.05349918,0.002667713,0.01144107,0.00002065952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04378811,0.0004632699,0.950461,0.0001341317,0.00006236003,0.00005044346,0.00004260171,0.0001484472,0.004849669],"genre_scores_gemma":[0.6472502,0.0005849685,0.3486709,0.000157122,0.00004610573,0.00009575886,0.0001676033,0.00002922779,0.00299798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001054923,"threshold_uncertainty_score":0.002704501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565849134907074,"score_gpt":0.2731498722808309,"score_spread":0.2374913809317602,"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."}}