Abstract
Recently the radar community has been discussing "multiple-input multiple-output (MIMO) radar" that utilizes multiple transmitters to transmit independentwaveforms. MIMO radar offers the potential for significant gains, e.g., diversity gain and spatial resolution gain. Since the employed radar waveform plays a key role in determining the accuracy, resolution, and ambiguity in performing tasks such as determining the target range, velocity, shape and so on, it is meaningful to investigate waveform design specially for this newly proposed MIMO radar. This paper summarizes some of our recent results on MIMO radar waveform design, mainly for identification and classification of extended radar targets. Our waveform design considers optimizing two criteria: maximization of the mutual information (MI) and minimization of the minimum mean-square error (MMSE). In this process, we are also interested in identifying the relationship between the waveforms obtained under the two criteria, given different a prior knowledge of the target's second-order statistics.
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