Alternating projection for MIMO radar waveform design

Recently there has been a surge of interest in waveform design for multiple-input multiple-output (MIMO) radar, and a great deal of efforts have been devoted to this topic. In this paper, we revisit an earlier examined MIMO radar waveform design problem which optimizes both minimum mean-square error estimation (MMSE) and mutual information (MI). We formulate a new waveform design problem and provide some further results, which complement the previous study. More specifically, we present an iterative optimization algorithm based on the alternating projection method, to determine waveform solutions that can simultaneously satisfy a structure constraint and optimize the design criteria. Numerical examples are provided, which illustrate the effectiveness of the proposed approach. In particular, we find that the waveform solutions obtained through our proposed algorithm can achieve very close and virtually indistinguishable performance from that predicted in the previous study.