ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of a sensor array. The ESPRIT algorithm is an attractive solution to many parameter estimation problems due to its low computational cost. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. By exploiting invariance’s designed into the sensor array, parameter estimates are obtained directly, without knowledge of the array response and without computation or search of some spectral measure. The exact number of samples and elements used is the most important parameter in the algorithms in order to sustain the accuracy of the direction of arrival of the incident signals. This algorithm is more robust with respect to array imperfections than MUSIC.
Parameter estimation of GTD model and RCS extrapolation based on a modified 3D-ESPRIT algorithm
