For most joint direction of arrival (DOA) and polarization estimation methods, the performances of proposed methods in dealing\nwith unequal power sources are not discussed.However, sources with unequal powers apparently exist widely in actual applications.\nIn this study, we propose a joint DOA and polarization estimation method for unequal power sources by utilizing the invariance\nproperty of noise subspace (IPNS) to the power of sources. This work extends the IPNS method to the dual polarized antenna array\nfor joint DOA and polarization estimation. Moreover, we theoretically prove that the IPNS remains valid even when the sources\nare correlated. The computer simulations illustrate that the proposed method can effectively estimate the DOA and polarization\nparameters as the power difference between sources increases, as opposed to the polarimetric multiple signal classification (MUSIC)\nalgorithm, which suffers from degradation in resolution probability. In addition, the performances of the proposed method are\nprovided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm.
Loading....