MIMO radar direction finding performance using Swerling model

A MIMO radar uses multiple waveforms and other forms of diversity to improve the performance. A statistical MIMO radar that takes advantage of spatial diversity has been proposed earlier. This radar concept aims at mitigating the performance loss caused by fluctuations of the radio cross-section of the target. In this paper, we examine the direction finding performance of the statistical MIMO radar using the Swerling scattering model, which covers both fast and slow fluctuation of the target RCS. The direction finding performance has been studied before, but so far, the different cases of the Swerling model have not been considered. We derive the Cramer-Rao bound or a similar performance measure for each case. Numerical results are also provided.