WHEN IS MIMO MASSIVE IN RADAR?
Jaimin Shah (University of Minnesota, Twin-cities); Martina Cardone (University of Minnesota, Twin Cities); Alex R Dytso (New Jersey Institute of Technology); Cynthia Rush (Columbia University)
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This work considers a co-located MIMO radar with $M_T$ transmitting and $M_R$ receiving antennas in a so-called massive MIMO regime, that is, where the number of virtual spatial antennas $N = M_TM_R$ is large. Recently, it has been demonstrated that as $N$ grows to infinity, one can fully characterize the false alarm and detection probabilities with very minimal assumptions on the disturbance vector. In this work, these results are partially refined and a lower bound on the probability of detection is provided for any fixed, finite $N$ under certain randomness models for the noise. This result can serve as a rule of thumb for the design of massive MIMO radar systems by indicating the number of antennas required to attain a desired target detection probability.