A NEW CUMULANTS-BASED ALGORITHM FOR ESTIMATION OF FREQUENCIES AND 2D-DOAS OF SPATIAL SIGNALS
一种基于高阶累积量的信号频率和到达角联合估计算法

In this paper, A new cumulants-based method for the joint estimations of frequen-cies and 2D-DOAs of spatial signals are dicussed. After analysing the model of data and the virtual-ESPRIT, the authors use PRO-ESPRIT to estimate the parameters of signals based on VESPA. This method utilized the capability of cumulant of aperture extension and insensitiv-ity to additive colored Gaussian noise. M - 1 signals can be processed by this method with M sensors without searching procedure. The simulations demonstrate the effectiveness of the method.