Robust waveform optimization for MIMO radar to improve the worst-case detection performance

In this paper, we consider the robust waveform optimization to improve the worst-case detection performance over a convex uncertainty model. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) for maximizing the worst-case output signal-interference-noise-ratio (SINR) such that the worst-case detection performance can be improved. Each iteration step in the proposed algorithm can be reformulated as a semidefinite programming (SDP) problem. Numerical results show that the worst-case detection performance can be improved considerably by the proposed method compared to uncorrelated waveforms.