Direction-Finding Technology of Aliased Sources Based on Pattern Division of Array Data

In this paper, an idea of pattern division based on array received data is proposed. First, using energy searches, pattern division, source number estimation, and data updates, the array received data is divided into three modes: independent narrowband data, wideband data, and aliasing narrowband data. Then, a judgment matrix is constructed using the orthogonality of the direction vector with the noise subspace in different modes. Finally, the direction-of-arrival (DOA) is estimated using spectral peak analysis. The proposed algorithm addresses the issues of the DOA estimating with wide/narrow band sources at high aliasing, and improves the range in practical applications. Results from simulations verified the feasibility of the proposed method.