4.7 Article

Massive MIMO Radar for Target Detection

Journal

IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 68, Issue -, Pages 859-871

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2020.2967181

Keywords

Large-scale MIMO radar; robust detection; Wald test; misspecification theory; unknown disturbance distribution; dependent observations

Funding

  1. Air Force Office of Scientific Research [FA9550-17-1-0344]
  2. Italian Ministry of Education and Research (MIUR)

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Since the seminal paper by Marzetta from 2010, the Massive MIMO paradigm in communication systems has changed from being a theoretical scaled-up version of MIMO, with an infinite number of antennas, to a practical technology. Its key concepts have been adopted in the 5G new radio standard and base stations, where 64 fully-digital transceivers have been commercially deployed. Motivated by these recent developments, this paper considers a co-located MIMO radar with M_T transmitting and M_R receiving antennas and explores the potential benefits of having a large number of virtual spatial antenna channels N=M_TM_R. Particularly, we focus on the target detection problem and develop a robust Wald-type test that guarantees certain detection performance, regardless of the unknown statistical characterization of the disturbance. Closed-form expressions for the probabilities of false alarm and detection are derived for the asymptotic regime N\rightarrow infty. Numerical results are used to validate the asymptotic analysis in the finite system regime with different disturbance models. Our results imply that there always exists a sufficient number of antennas for which the performance requirements are satisfied, without any a-priori knowledge of the disturbance statistics. This is referred to as the Massive MIMO regime of the radar system.

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