Abstract:

Based on missileborne dual uniform circular arrays (UCA), an estimation algorithm about two-dimensional direction-of-arrival (DOA) of coherent signals is proposed. Firstly, the algorithm utilizes spatial smoothing techniques to regain the rank of covariance matrix by processing the data gathered by virtually arrays moving along the axial direction. Then, according to the structure of the dual UCA, a DOA matrix is constructed. Eigenvalues and eigenvectors can be acquired by performing eigenvalue decomposition of the DOA matrix. According to the eigenvalues and eigenvectors with elevation and azimuth information, the DOA of coherent signals can be estimated. The proposed algorithm utilizes the DOA matrix method to solve the parameter estimation in the UCA fields. Thus the algorithm requires no parameter alignment and 2D spectrum peak searching. The simulation results indicate that the algorithm has low computational complexity and high resolution characteristics compared with UCA-ESPRIT algorithm.