Abstract for the Research Article The problem of low positioning accuracy in the presence of interference is discussed in this work. As a way to solve this problem spatial-temporal signal processing (STSP) is chosen when maximum likelihood (ML) optimisation criterion is used. The paper assumes that an interference is a Gaussian random process with a uniform (in the channel band) spectral noise density, and the additive components in each of the receiving channels are independent implementations of additive white Gaussian noise (AWGN). The commonly known form of likelihood function is transformed in the way to exclude interfering parameters of signal of interest. As a theoretical result ML-estimator of time-of-arrival was obtained. This results are supported by a statistical simulation so that the efficiency of synthesized ML algorithm is shown. At the end of the discussion the structure of navigation receiver implementation as an implications for practice is proposed.