SINR maximization in MIMO radars using Riemannian quasi-Newtown optimization

This paper focus on the waveform design of multiple-input multiple-output (MIMO) under the practical constraint of constant modulus (CM), aims to maximize the Signal-to-Interference-plus-Noise Ratio (SINR) of radar receiver output in the worst case by radiation nulls generation. Because of the CM constraint, the issue is nonconvex and NP-hard. We find that Limited-memory BFGS algorithm is suitable for solving the quadratic optimization problem and the CM constraint is equal to the feasible set on the complex circle manifold. Numerical results demonstrate that our method is superior to recent comparison methods.