The practical implementation of adaptive algorithms in radar systems for detecting moving targets is a relevant and promising direction of modern signal processing technologies. One of the possible approaches to hardware implementation of adaptive algorithms is developing a multi-channel passive interference compensation system, which may be appropriate for improving the performance of radar systems in complex and dynamic environments. This paper considers the problem of selecting the optimal filter in a multi-channel architecture to maximize the signal-interference ratio. To solve the problem, it is proposed to use the optimal filter selection criterion stage in the system architecture. Three criteria are proposed and considered, namely the criterion of the ratio of ordinal statistics, which is based on the ratio between the maximum value of the modulus of the discretized signal samples and the median of the modulus of this same vector, the criterion based on the minimum of the variance, since the variance characterizes the variability of the signal, and the criterion based on the Fourier transform, which is based on the analysis of the frequency components of the signal. To evaluate their effectiveness, computer modeling was conducted, leading to conclusions about the feasibility of their use. This emphasizes the connection between theoretical justification and practical implementation possibilities.