Algebraic methods of processing data obtained by control and measurement systems
to achieve angular superresolution are presented. The efficiency of using the methods in the
formation of approximate images of objects at low signal-to-noise ratios is shown. The results
of numerical experiments demonstrate the possibility of obtaining images with a resolution
exceeding the Rayleigh criterion by 3-10 times. The robustness of the solutions obtained by
the methods of algebraic exceeds many well-known approaches. The relative simplicity of the
presented methods allows the use of inexpensive computing devices and perform real-time
measurement processing.