Optimal space-time processing of signals in a moving radar with a two-dimensional antenna array

The Markov theory of optimal nonlinear filtering is used to develop an algorithm for the optimization of space-time processing when the useful information is contained in the time and space parameters of the vector random field. This approach is applied to a moving radar with a two-dimensional antenna array. It is shown that errors of azimuth measurement are determined mainly by the phase-modulation curvature of the reflected signal, while errors of elevation-angle measurement are determined mainly by the array size.