Waveform Design for MIMO Radar Detection in a Heterogeneous Clutter Environment

In this study, the problem of transmitted waveform design for a multiple-input-multiple-output (MIMO) radar in a heterogeneous clutter environment is considered. Under a Bayesian framework, the waveform design problem is used to maximize the generalized likelihood ratio for a given false alarm probability. In addition, the proposed problem is nonconvex under the constant modulus constraint. Hence, the alternating direction method of multipliers-based and the Broyden-Fletcher-Goldfarb-Shanno method are adopted to solve this nonconvex optimization problem. Finally, the clutter suppression performance of the proposed algorithms is evaluated in real-world data by numerical simulations. The simulation results show that the proposed methods have better performance on clutter suppression and target detection.