Yuan, Jiawen;
Zhang, Gong;
Meng, Kaitao;
Leung, Henry;
(2025)
Reconfigurable intelligent surface-enabled gridless DoA estimation system for NLoS scenarios.
Signal Processing
, 233
, Article 109934. 10.1016/j.sigpro.2025.109934.
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1_elsarticle-template-num2025_black.pdf - Accepted Version Access restricted to UCL open access staff until 20 February 2026. Download (2MB) |
Abstract
The conventional direction-of-arrival (DoA) estimation approaches are effective only when the line-of-sight (LoS) link is available. In non-line-of-sight (NLoS) scenarios, it is challenging to effectively obtain the directional information of targets due to the uncontrollability of signal reflections from NLoS links. To handle this issue, a novel reconfigurable intelligent surface (RIS)-enabled gridless DoA estimation system for NLoS scenarios is proposed, where the RIS establishes a virtual LoS link between the base station and targets. First, considering the minable statistics of the signal, the RIS-enabled signal model in the covariance domain with a limited number of receiving antennas is proposed to help reduce resource consumption. Next, we estimate the noise variance by constraining the Frobenius norm of the measurement error matrix to enhance the robustness to noise. Then, we reconstruct the Hermitian Toeplitz matrix by addressing the atom norm minimization (ANM) problem on the covariance-noiseless matrix. To reduce the computation, an efficient iterative approach is designed via the alternating direction method of multipliers. Furthermore, this system's Cramér–Rao lower bound is derived, which is further exploited as the DoA estimation's reference bound. Numerical experiments validate the superiority of the proposed system over the benchmark in terms of computational efficiency and estimation precision.
| Type: | Article |
|---|---|
| Title: | Reconfigurable intelligent surface-enabled gridless DoA estimation system for NLoS scenarios |
| DOI: | 10.1016/j.sigpro.2025.109934 |
| Publisher version: | https://doi.org/10.1016/j.sigpro.2025.109934 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, NLoS scenario, Gridless DoA estimation, RIS, ANM, Alternating direction method of multipliers, ARRAY |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206258 |
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