A study of fast implementation methods for radar super-resolution imaging

In this paper, the radar forward-looking imaging are firstly established spatial geometry model and echo model and then the signal processing method is adopted to achieve azimuth super-resolution, and the regularization based inverse convolution method is used to construct the imaging objective function equation. In solving the regularization equation, an adaptive thresholding shrinkage algorithm with good convergence and noise resistance is used. In addition, an adaptive iterative extrapolation algorithm has been studied, which can effectively improve the convergence speed of the adaptive threshold shrinkage method.