Robust waveform design for MIMO radar to improve the worst-case estimation performance in the presence of clutter

In this paper, the robust waveform optimization for multi-input multi-output (MIMO) radar is investigated to improve the worst-case performance of parameter estimation in the presence of clutter. Under a simplifying assumption, an iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) such that the worst-case performance of parameter estimation can be improved. Each step in the proposed algorithm can be reformulated as a semidefinite programming (SDP) problem. Numerical results show that the worst-case performance can be improved considerably by the proposed method compared to uncorrelated waveforms.