The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces
Open accessAbstract
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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Goemans, M. X., & Williamson, D. P. (1995) · Journal of the ACM · doi:10.1145/227683.227684 · Cited by 3,587
Active RIS vs. Passive RIS: Which Will Prevail in 6G?
Zhang, Z., Dai, L., Chen, X., Liu, C., Yang, F., Schober, R., & Poor, H. V. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3231893 · Cited by 1,150
Cited by
Zheng, B., You, C., Mei, W., & Zhang, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3155305 · Cited by 579
Liu, R., Li, M., Luo, H., Liu, Q., & Swindlehurst, A. L. (2023) · IEEE Wireless Communications · doi:10.1109/mwc.002.2200206 · Cited by 325
Secure Intelligent Reflecting Surface-Aided Integrated Sensing and Communication
Hua, M., Wu, Q., Chen, W., Dobre, O. A., & Swindlehurst, A. L. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3280179 · Cited by 293
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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- 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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