Off-Grid Sparse Bayesian Learning for Direct Localization of Cyclostationary Sources With Adaptive Grid Refinement
The growing number of emitters and interferences in 5G and beyond, coupled with limited array resources, poses significant challenges to high-precision passive localization. This paper addresses the off-grid direct position determination problem for cyclostationary signals in the presence of interference. We propose a...