Stacked Intelligent Metasurface Performs a 2D DFT in the Wave Domain for DOA Estimation
Open accessAbstract
Staked intelligent metasurface (SIM) based techniques are developed to perform two-dimensional (2D) direction-of-arrival (DOA) estimation. In contrast to conventional designs, an advanced SIM in front of a receiver array automatically performs the 2D discrete Fourier transform (DFT) as the incident waves propagate through it. To arrange for the SIM to carry out this task, we design a gradient descent algorithm for iteratively updating the phase shift of each meta-atom in the SIM to minimize the fitting error between the SIM's response and the 2D DFT matrix. To further improve the DOA estimation accuracy, we configure the phase shifts in the input layer of the SIM to generate a set of 2D DFT matrices having orthogonal spatial frequency bins. Extensive numerical simulations verify the capability of a well-trained SIM to perform the 2D DFT. Specifically, it is demonstrated that a SIM having an optical computational speed achieves an MSE of 10–4in 2D DOA estimation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Numerical simulations have confirmed that an optimized SIM can perform DOA estimation with remarkable speed and accuracy, achieving an MSE of -40 dB.
“Numerical simulations have confirmed that an optimized SIM can perform DOA estimation with remarkable speed and accuracy, achieving an MSE of -40 dB.”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [114]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A programmable diffractive deep neural network based on a digital-coding metasurface array
Liu, C., Ma, Q., Luo, Z. J., Hong, Q. R., Xiao, Q., Zhang, H. C., Miao, L., Yu, W. M., Cheng, Q., Li, L., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00719-9 · Cited by 633 · see citing works
Flagged first, then by citations
Research works printed but not linked: 22
- R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Antennas Propag., vol. 34, no. 3, pp. 276-280, Mar. 1986.
- R. Roy and T. Kailath, "ESPRIT-estimation of signal parameters via rotational invariance techniques," IEEE Trans. Acoustics Speech Signal Process., vol. 37, no. 7, pp. 984-995, Jul. 1989.
- P. Stoica and A. Nehorai, "Music, maximum likelihood, and Cramer-Rao bound," IEEE Trans. Acoustics Speech Signal Process., vol. 37, no. 5, pp. 720-741, May 1989.
- Z. Zheng, Y. Huang, W.-Q. Wang, and H. C. So, "Direction-of-arrival estimation of coherent signals via coprime array interpolation," IEEE Signal Process. Lett., vol. 27, no. 3, pp. 585-589, Mar. 2020.
- J. An, H. Li, D. W. K. Ng, and C. Yuen, "Fundamental detection probability vs. achievable rate tradeoff in integrated sensing and communication systems," IEEE Trans. Wireless Commun., pp. 1-15, 2023, Early Access.
- H. Krim and M. Viberg, "Two decades of array signal processing research: the parametric approach," IEEE Signal Process. Mag., vol. 13, no. 4, pp. 67-94, Jul. 1996.
- L. Godara, "Application of antenna arrays to mobile communications -Part II: Beam-forming and direction-of-arrival considerations," Proc. IEEE, vol. 85, no. 8, pp. 1195-1245, Aug. 1997.
- C. See and A. Gershman, "Direction-of-arrival estimation in partly calibrated subarray-based sensor arrays," IEEE Trans. Signal Process., vol. 52, no. 2, pp. 329-338, Feb. 2004.
- Z.-M. Liu and Y.-Y. Zhou, "A unified framework and sparse Bayesian perspective for direction-of-arrival estimation in the presence of array imperfections," IEEE Trans. Signal Process., vol. 61, no. 15, pp. 3786-3798, Aug. 2013.
- C. Xu, J. An, T. Bai, S. Sugiura, R. G. Maunder, Z. Wang, L.-L. Yang, and L. Hanzo, "Channel estimation for reconfigurable intelligent surface assisted high-mobility wireless systems," IEEE Trans. Veh. Technol., vol. 72, no. 1, pp. 718-734, Jan. 2023.
- J. An, C. Xu, L. Wang, Y. Liu, L. Gan, and L. Hanzo, "Joint training of the superimposed direct and reflected links in reconfigurable intelligent surface assisted multiuser communications," IEEE Trans. Green Commun. Netw., vol. 6, no. 2, pp. 739-754, Jun. 2022.
- M. Di Renzo, A. Zappone, M. Debbah, M.-S. Alouini, C. Yuen, J. de Rosny, and S. Tretyakov, "Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead," IEEE J. Sel. Areas Commun., vol. 38, no. 11, pp. 2450-2525, Nov. 2020.
- J. An, C. Xu, L. Gan, and L. Hanzo, "Low-complexity channel estimation and passive beamforming for RIS-assisted MIMO systems relying on discrete phase shifts," IEEE Trans. Commun., vol. 70, no. 2, pp. 1245-1260, Feb. 2022.
- T. J. Cui, M. Q. Qi, X. Wan, J. Zhao, and Q. Cheng, "Coding metamaterials, digital metamaterials and programmable metamaterials," Light: science & applications, vol. 3, no. 10, pp. e218-e218, Oct. 2014.
- A. Silva, F. Monticone, G. Castaldi, V. Galdi, A. Alù, and N. Engheta, "Performing mathematical operations with metamaterials," Science, vol. 343, no. 6167, pp. 160-163, Jan. 2014.
- J. An, C. Xu, Q. Wu, D. W. K. Ng, M. D. Renzo, C. Yuen, and L. Hanzo, "Codebook-based solutions for reconfigurable intelligent surfaces and their open challenges," IEEE Wireless Commun., pp. 1-8, 2022, Early Access.
- J. An, C. Xu, D. W. K. Ng, G. C. Alexandropoulos, C. Huang, C. Yuen, and L. Hanzo, "Stacked intelligent metasurfaces for efficient holographic MIMO communications in 6G," IEEE J. Sel. Areas Commun., vol. 41, no. 8, pp. 2380-2396, Aug. 2023.
- J. An, C. Yuen, C. Huang, M. Debbah, H. Vincent Poor, and L. Hanzo, "A tutorial on holographic mimo communi- cations-part i: Channel modeling and channel estimation," IEEE Commun. Lett., vol. 27, no. 7, pp. 1664-1668, Jul. 2023.
- J. An, M. Di Renzo, M. Debbah, and C. Yuen, "Stacked intelligent metasurfaces for multiuser beamforming in the wave domain," in Proc. IEEE Int. Conf. Commun. (ICC), Rome, Italy, May 2023, pp. 1-6.
- J. An, M. Di Renzo, M. Debbah, H. V. Poor, and C. Yuen, "Stacked intelligent metasurfaces for multiuser downlink beamforming in the wave domain," arXiv preprint arXiv:2309.02687, 2023. · arXiv
- P. Heidenreich, A. M. Zoubir, and M. Rubsamen, "Joint 2-D DOA estimation and phase calibration for uniform rectangular arrays," IEEE Trans. Signal Processing, vol. 60, no. 9, pp. 4683-4693, Sep. 2012.
- J. An, C. Yuen, L. Dai, M. Di Renzo, M. Debbah, and L. Hanzo, "Toward beamfocusing-aided near-field communications: Research advances, potential, and challenges," arXiv preprint arXiv:2309.09242, 2023. · arXiv
Cited by
Sorted by citations
Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2026) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2025.3571069 · Cited by 72 · see citing works
“In [114] and [26], an SIM was utilized to estimate the 2-”
Self-citationMulti-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments
Wang, Z., Liu, H., Zhang, J., Xiong, R., Wan, K., Qian, X., Di Renzo, M., & Qiu, R. C. (2024) · GLOBECOM 2024 - 2024 IEEE Global Communications Conference · doi:10.1109/globecom52923.2024.10901440 · Cited by 35 · see citing works
Flexible Intelligent Metasurfaces for Enhancing MIMO Communications
An, J., Han, Z., Niyato, D., Debbah, M., Yuen, C., & Hanzo, L. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3550318 · Cited by 34 · see citing works
Self-citationEmerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications
An, J., Debbah, M., Cui, T. J., Chen, Z. N., & Yuen, C. (2024) · arXiv · Cited by 72 · see citing works
“In [114] and [26], an SIM was utilized to estimate the 2-”
Self-citation
- Authors
- An, J., Yuen, C., Guan, Y. L., Di Renzo, M., Debbah, M., Poor, H. V., & Hanzo, L.
- Affiliations
- Nanyang Technological University (SG)
- CNRS, Centralexupélec, Laboratoire des Signaux et Systèmes, Université Paris-Saclay,Gif-sur-Yvette,France,91192
- Center for 6G Technology, Khalifa University of Science and Technology,Abu Dhabi,United Arab Emirates
- Princeton University (US)
- University of Southampton (GB)
- Venue
- ICC 2024 - IEEE International Conference on Communications
- Publisher
- IEEE
- Published
- 2024-06-09
- Pages
- 3445-3451
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W4402159272
- Cited by
- 26
- References
- 1
- Citations by year
- 2026: 3 · 2025: 18 · 2024: 5
- FWCI
- 21.28
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- International Conference on Communications (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- Agency for Science, Technology and Research (M22L1b0110)
- Ministry of Education - Singapore (MOE-T2EP50220-0019)
- Ministry of Education, India
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Advanced Antenna and Metasurface Technologies
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Keywords
- stacked intelligent metasurfaces, two-dimensional direction of arrival estimation, two-dimensional discrete Fourier transform, gradient descent, optical computing, receiver array
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review