DOA estimation via eigenvector domain harmonic analysis

A novel robust high-resolution direction of arrival (DOA) estimation method is proposed. The proposed method is based on the fact that the signal eigenvectors of the covariance matrix are a linear combination of the direction vectors which contain the DOA information. By applying a high-resolution frequency estimation algorithm to an element sequence of a combination of signal eigenvectors, the proposed method has better performance at low SNR than conventional methods. For example, it is about 5 dB more robust to noise than spatial-smoothed MUSIC and spatial-smoothed minimum-norm