TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems
arXiv:2008.09499 · doi:10.1109/LSP.2021.3059363
Abstract
We consider the channel estimation problem in point-to-point reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) MIMO systems. By exploiting the low-rank nature of mmWave channels in the angular domains, we propose a non-iterative Two-stage RIS-aided Channel Estimation (TRICE) framework, where every stage is formulated as a multidimensional direction-of-arrival (DOA) estimation problem. As a result, our TRICE framework is very general in the sense that any efficient multidimensional DOA estimation solution can be readily used in every stage to estimate the associated channel parameters. Numerical results show that the TRICE framework has a lower training overhead and a lower computational complexity, as compared to benchmark solutions.
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Cited by in corpus (7)
- An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems
- Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems
- Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm
- Reconfigurable Intelligent Surface Aided Sparse DOA Estimation Method With Non-ULA
- Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface
- DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS
- NoncovANM: Gridless DOA Estimation for LPDF System