Bayesian compressive spectrum sensing joint DOA estimation and polarization signal processing

In this paper, we proposed a Bayesian compressive spectrum sensing (BCSS) joint direction of arrival (DOA) estimation and polarization signal processing with adaptive threshold (ADD-BCS) in a dual polarization antenna (DPA) receiving system. In this scheme, we first use Bayesian sampling matrix to achieve the compressive sensing data in two branches of a dual polarization antenna separately, before a proposed fusion model which aims to decrease the amount of complex computation is used. Then, DOA estimation and adaptive threshold are introduced to increase the accuracy and efficiency of wideband spectrum sensing. The simulation results show that this method is more accurate and faster in compressing and recovering signals.