关键词: DOA估计, 相干信号, 特征子空间, 互相关协方差, IM-ESPRIT算法

Abstract:

MUSIC (Multiple Signal Classification) algorithm and ESPRIT (Estimated Signal Parameters via Rotational Invariance Technique) algorithm can not effectively achieve DOA (Direction of Anival) estimation of the coherent sources. Based on MMUSIC (Modified MUSIC), introducing the transformation matrix and considering the autocorrelation and cross-autocorrelation of the array output and the corresponding transformed matrix, and combined with TLS-ESPRIT (Total Least-Squares ESPRIT) algorithm, an IM-ESPRIT (Improved ESPRIT) algorithm that is suitable for the two cases of the non-coherent and coherent sources has been proposed. Compared with the conventional CC-ESPRIT algorithm (Cross ESPRIT algorithm), when the angle of coherent source interval is 3° and signal-to-noise ratio of 0, DOA estimation is realized. It is shown by the numerical simulation that IM-ESPRIT algorithm has a better estimation accuracy under the condition of the small angle interval of the coherent sources and lower SNR.

Key words: direction of anival (DOA) estimation, coherent signal, feature subspace, mutual correlation covariance, improved ESPRIT (IM-ESPRIT) algorithm