This paper considers the robust waveform design of multiple-input multiple-output (MIMO) radar to enhance targets\ndetection in the presence of signal-dependent interferences assuming the knowledge of steering vectors is imprecise.\nSpecifically, resorting to semidefinite programming (SDP)-related technique, we first maximize the worst-case\nsignal-to-interference-plus-noise ratio (SINR) over uncertain region to optimize waveform covariance matrix forcing a\nuniform elemental power requirement. Then, based on least square (LS) approach, we devise the waveform\naccounting for constant modulus and similarity constraints by the obtained waveform covariance matrix using cyclic\nalgorithm (CA). Finally, we assess the effectiveness of the proposed technique through numerical simulations in terms\nof non-uniform point-like clutter and uniform clutter.
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