It has been shown that the detection quality of a space-time signal is largely determined by the operational efficiency of the algorithm used to measure the noise parameters. The purpose of this study is to discuss algorithms used to estimate the power and coordinates of noise sources. The results of a comparison of three angular coordinate measurement algorithms based on methods such as minimizing the mean square error, the maximum-likelihood (Capon) method and the maximum entropy method are presented. It is shown that the Capon method provides sufficiently high measurement accuracy with relatively low variability.