Over the past 2 decades, the spatial analysis methods developed were based upon restricting hypotheses that are not fulfilled in\ud practical cases and, therefore, often yield disappointing results . This is particularly true when uncorrelated sources, plane\ud wavefronts and identical sensors hypotheses are introduced . In a classical approach, source parameters estimates are obtained\ud using the information contained in the eigenvalues and eigenvectors of the received signais cross-spectral matrix . Making use of\ud the properties of this matrix, an alternate version of the eigensystem method based upon the linear dependency between the\ud source-matrix rows is shown to exist . A deep insight into the causes of performance loss clearly shows an interest for an\ud estimation as compiete as possible of the distorted wavefronts . Letting the modules of the sources-vectors elements being equal,\ud a new algorithm which permits the estimation of their phases is finally adressed .On montre qu'il existe une variante de la méthode des éléments propres, fondée sur la relation de dépendance linéaire existant entre les lignes de la matrice-source
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