A convenient suboptimal method of selection of observation signals in time and space is proposed which minimizes the mean square error of the state estimation under a restricted number of observations. Two different approaches are taken to obtain the method, dependent on the type of the transition matrix, i.e., it is diagonalizable or not. Several examples are also given to illustrate the effectiveness of the proposed approach.