Gridless Target Localization for FDA-MIMO Radar with Sparse Arrays

Most studies of frequency diverse array multiple-input multiple-output (FDA-MIMO) radar are based on uniform linear array (ULA), and thus the extended aperture characteristic of sparse arrays cannot be utilized. To solve this problem, a gridless angle and range estimation method for monostatic FDA-MIMO radar with sparse linear receiving array is presented. First, a monostatic FDA-MIMO radar model is established with angle and range decoupled, and then an optimization problem is proposed based on low-rank matrix reconstruction, and solved by alternating projections. Simulation results show that our method not only achieves high-resolution angle and range estimation performance, but also reduces computational complexity.