Nyström-Based 2D DOA Estimation for Large-Scale Polarized Arrays Method

In order to solve the problem that the calculation of Long-Vector-based MUSIC(LV-MUSIC) method is too large, a low-complexity direction of arrival (DOA) estimation method suitable for large-scale polarized arrays is proposed. By using the principle of Nyström estimation, the receiving matrix is divided into blocks, and the noise subspace can be estimated only by the feature decomposition of the low-dimensional subcovariance matrix. Then, with the help of the LV-MUSIC method based on rank deficit, the computational load is further reduced from the perspective of spectral peak search. Simulation results show that the proposed algorithm has a comparable estimation effect with rank deficit LV-MUSIC method. Moreover, under the condition of high Signal to Noise Ratio (SNR), the estimation effect of the proposed method is not affected by the block parameters. For large-scale arrays with large array number of elements, the proposed method has higher operation efficiency.