Target Localization for FDA-MIMO Radar with Random Frequency Increment via Atomic Norm Minimization

The frequency diverse array (FDA) can offer a range-dependent beampattern capability that is attractive in various radar applications. However, due to the coupling between the range and angle, the joint range and angle estimation for the FDA inevitably increases the complexity. In this paper, we focus on the frequency diverse array with random frequency increment to avoid the range and angle coupling, and combine it with the MIMO radar to achieve high-resolution range and angle estimation. An atomic norm-based method is proposed to localize the targets, in which the range and angle estimation problem is formulated as a structured low-rank matrix recovery problem. Numerical simulations demonstrate that the proposed method can achieve better performance than the sparse recovery-based method.