Resolution of incoherent and coherent sources by autoregressive beamforming

In this paper we investigate the resolution properties of two linear prediction algorithms for bearing estimation with line array of sensors, in the presence of either incoherent or coherent sources: the Burg algorithm and the generalized Burg algorithm. It was demonstrated by computer simulation that both algorithms achieve the superresolution of incoherent sources. For coherent sources, however, it was shown that the Burg estimates are sensitive to the magnitude and the phase of the inter-signal correlation, while the generalized Burg estimates are comparable to those obtained for the incoherent sources and are less sensitive to intersignal correlation.