Massive MIMO radar for target detection

Stefano Fortunati, Luca Sanguinetti, Fulvio Gini, Maria Sabrina Greco, Braham Himed

Research output: Contribution to journalArticlepeer-review

Abstract

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 MT transmitting and MR receiving antennas and explores the potential benefits of having a large number of virtual spatial antenna channels N=MTMR. 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→∞. 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.

Original languageEnglish
Article number8962251
Pages (from-to)859-871
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume68
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Keywords

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

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