Maximum likelihood estimation for array processing in unknown noise environments

In array signal processing, the spatially white noise model is most commonly used, and most of the high-resolution methods are established on such a noise model. However, in real environments, the noise model is often either unknown or undeterminable. This may cause the high-resolution methods to suffer severe performance degradation. An approach for consistent and parametric direction of arrival (DOA) estimation in unknown noise environments …