Total variation superresolution method for radar forward-looking imaging

Due to the limitation of antenna size, the azimuth resolution of radar forward-looking imaging is limited. Conventional technologies improved the azimuth resolution and obtained good effects, but they are poor in contour recovery of targets. In this paper, we employed the total variation (TV) superresolution method to improve the azimuth resolution and recover the contour of the targets in radar forward-looking imaging. Firstly, the signal model of radar forward-looking imaging was deduced. Secondly, the TV operator was employed as the penalty term under regularization framework. Thirdly, the TV regularization model was solved by split Bregman algorithm. The TV regularization method not only improved the azimuth resolution, but also better recovered the contour of the targets. The performance was verified by simulations lastly.