About Comparation of Sequential Superresolution Algorythms for Distingushing Targets Separated by Small Angle

The sequential super-resolution algorithms used to solve the problem of distinguishing targets separated by a small angular distance are considered. The dependences of the standard deviation of the angles determined by the algorithms on the signal-to-noise ratio, the number of antenna array elements, the signal frequency, and the distance between the elements are compared. According to the simulation results, under the same conditions, the multiple signal classification super-resolution algorithm is able to provide a higher angular resolution in most cases than other sequential algorithms.