Applying super resolution techniques for objects recognition in radar

Super resolution is a process to improve the resolution of an imaging system. Super resolution techniques can help in detection and recognition of objects of interest. A review of super resolution techniques applied to the radar technology is presented. The well-known super resolution algorithms, Matrix inverse, Minimum mean square error and Singular value decomposition are investigated. We observed that Minimum mean square error better recognize the targets under different conditions. Simulation results provide the assessment of discussed super resolution algorithms for the imaging model.