Reduced-Dimensional Decomposition and Eigenspace Reconstruction of Coherent Sources with Arbitrary Rectangle Arrays
Xiangtian Meng, Feng‐Gang Yan, Maria Greco, Fulvio Gini, Ming Jin · 2024
In this paper, we propose a novel reduced-dimensional decomposition method of coherent sources with arbitrary rectangle arrays, namely RD-MUSIC. Compared with the orientational invariance structure of two-dimensional spatial smoothing methods, the proposed RD-MUSIC utilizes the orthogonally similar transformation to achieve the real-valued decomposition only with a half dimension, which can be extended to arbitrary rectangle arrays. Simulation results demonstrate the satisfactory estimation accuracy and improved resolution.