MIMO Radar Waveform Design for More Precise Amplitude Estimation

Amplitude estimation plays a significant role in radar signal parameter estimation. The paper focuses on the target amplitude estimation with multiple-input-multiple-output radar systems in the presence of colored noise. To refine the precision of amplitude estimation, we construct a waveform design problem predicated on the minimization of the corresponding Cramér-Rao bound (CRB). The low peak-to-average-power-ratio constraint is enforced to guarantee distortion-free operation of the saturated amplifier. By leveraging the assumption of a prior knowledge on target directions, a covariance matrix matching method is developed for the waveform design problem. Through numerical analysis, it becomes evident that the waveforms synthesized by the proposed algorithm can reach a lower CRB and is superior to the orthogonal waveforms.