DOA Estimation Improved Algorithm for ULA Based on ESPRIT Algorithm

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.