A unified parametric framework identifies active satellites and reconstructs RSS fields from measurements by linking beam geometry to spatial signal formation with adaptive complexity control.
Sparse bayesian learning-based 3-d radio environment map construction—sampling optimization, scenario-dependent dictionary construction, and sparse recovery
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Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
A unified parametric framework identifies active satellites and reconstructs RSS fields from measurements by linking beam geometry to spatial signal formation with adaptive complexity control.