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 language | English |
|---|---|
| Article number | 8962251 |
| Pages (from-to) | 859-871 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 68 |
| DOIs | |
| Publication status | Published - 1 Jan 2020 |
| Externally published | Yes |
Keywords
- Large-scale MIMO radar
- Wald test
- dependent observations
- misspecification theory
- robust detection
- unknown disturbance distribution