{"id":"W4409640669","doi":"10.1109/jsen.2025.3560989","title":"New Semidefinite Programming Joint Localization and Synchronization Using Sequential One-Way TOAs and Doppler Shifts","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"NovAtel (Canada)","funders":"National Natural Science Foundation of China","keywords":"Semidefinite programming; Synchronization (alternating current); Joint (building); Doppler effect; Computer science; Mathematical optimization; Algorithm; Mathematics; Telecommunications; Engineering; Physics","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":[0.001280356,0.00142734,0.001056782,0.0003731989,0.0003124671,0.001250686,0.001111221,0.001098035,0.00272294],"category_scores_gemma":[0.002602418,0.0006987619,0.0008332156,0.0006093558,0.0008341789,0.001137421,0.00138616,0.001775629,0.0006477553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000484756,"about_ca_system_score_gemma":0.00140058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972899,"about_ca_topic_score_gemma":0.002242196,"domain_scores_codex":[0.9992808,0.0002928736,0.00002741449,0.0001516264,0.0001813357,0.00006606429],"domain_scores_gemma":[0.9988409,0.0006740883,0.0001317107,0.00005788018,0.0002350272,0.00006045543],"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":[0.00005980744,0.00004878079,0.0002898205,0.0001317664,0.00003152024,0.0001193491,0.00007764683,0.9584029,0.002498135,0.01463498,0.001958434,0.02174688],"study_design_scores_gemma":[0.00000663642,0.00001972689,0.00001688897,0.000003408229,0.0000021245,0.000009865424,0.00000711912,0.9977115,0.0002039298,0.001688285,0.0003270025,0.00000337674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003452297,0.00007768658,0.99468,0.0001042519,0.00002028287,0.0000202362,0.00004193887,0.0001079341,0.001495408],"genre_scores_gemma":[0.3624464,0.0005459125,0.6254465,0.0004152426,0.00009953152,0.0005625428,0.0006482173,0.00032838,0.009507314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002972899,"threshold_uncertainty_score":0.009109199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675657090898065,"score_gpt":0.2868205562187436,"score_spread":0.2500639853097629,"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."}}