A Novel Tensor Completion Based on APG for Angle Estimation in Bistatic MIMO Radar

In this paper, a fast and stable tensor completion algorithm is proposed. The signal model of tensor completion based on truncated nuclear norm is given firstly. Then the truncated nuclear norm are utilized to solve object function. During the iterations, it proposes the adaptive accelerated proximal gradient algorithm, which also gives the method of renewing parameters. In the end, the effectiveness of proposed approach is verified by simulations.