DOA Estimation of Virtual Array Extension Based on Fourth-order Cumulant
基于高阶累积量虚拟阵列扩展的DOA估计

A new method of DOA estimation is presented based on higher-order cumulant. Using the aperture extension property of higher-order cumulant , this method calculates the coordinate and steer vector of virtual sensors from the coordinate and steer vector of actual sensors ,uses the their relation to construct the fourth-order or sixrth-order covariance matrix ,thus using MUSIC algorithm to estimate DOA. This method could extend arbitrary array aperture efficiently based actual array aperture efficiently and estimate the azimuth and elevation of more non-Gaussian independent sources than the number of the actual sensors. It is shown through the simulations that this method is simple and valid for virtual array extension virtualarray and increases the resolution of the actual array, the Gaussian noise is suppress significantly and computation cost is significantly reduced.