On Blind Source Separation Method in the Spatial Polarization Selection Problem
K. Y. Sokolov, V. S. Priputin, I. A. Volkov · 2023
This article proposes a method for spatially polarized signal selection that operates under conditions of a priori uncertainty in the characteristics of a receiving antenna array of arbitrary geometry, as well as in the parameters of desired signals and interference. The proposed method is based on based on algorithms of blind source separation (BSS) and approximate joint diagonalization. This method can be applied to a receiving antenna array with an arbitrary geometry, does not use information about the characteristics of the receiving antenna array, and does not use information about the parameters and the number of useful signals and interference. The results of the simulation show that the presented method allows one to effectively suppress interference that has polarization separation from the information signal, the direction of arrival of which is close to the direction of arrival of the data signal