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Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces

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Buzzi, Stefano, Grossi, Emanuele, Lops, Marco, Venturino, Luca·2022·IEEE Transactions on Signal Processing

Abstract

A reconfigurable intelligent surface (RIS) is a nearly-passive flat layer made of inexpensive elements that can add a tunable phase shift to the impinging electromagnetic wave and are controlled by a low-power electronic circuit. This paper considers the fundamental problem of target detection in a RIS-aided multiple-input multiple-output (MIMO) radar. At first, a general signal model is introduced, which includes the possibility of using up to two RISs (one close to the radar transmitter and one close to the radar receiver) and subsumes both a monostatic and a bistatic radar configuration with or without a line-of-sight view of the prospective target. Upon resorting to a generalized likelihood ratio test (GLRT), the design of the phase shifts introduced by the RIS elements is formulated as the maximization of the probability of detection in the location under inspection for a fixed probability of false alarm, and suitable optimization algorithms are proposed. The performance analysis shows the benefits granted by the presence of the RISs and shed light on the interplay among the key system parameters, such as the radar-RIS distance, the RIS size, and the location of the prospective target. A major finding is that the RISs should be better deployed in the near-field of the radar arrays at both the transmit and the receive side. The paper is concluded by discussing some open problems and foreseen applications.

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Metadata

Authors
Buzzi, S., Grossi, E., Lops, M., & Venturino, L.
Venue
IEEE Transactions on Signal Processing
Published
2022
Volume
70
Pages
1749-1763
ISSN
  • 1053-587X (ISSN-L)
  • 1941-0476
OpenAlex
W3162644779
Cited by
242
References
2
FWCI
24.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces. https://app.cochat.ai/papers/10.1109/tsp.2022.3157975
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Buzzi, S., Grossi, E., Lops, M., & Venturino, L. (2022). Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2022.3157975

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