2020/12/28 by Yiming Liu, Erwu Liu, Liu, Yiming +7
Engineering · #Advanced Wireless Communication Technologies #Antenna Design and Optimization #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.2012.14058
openalex publication_date 2020/12/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
To achieve the joint active and passive beamforming gains in the reconfigurable intelligent surface assisted millimeter wave system, the reflected cascade channel needs to be accurately estimated. Many strategies have been proposed in the literature to solve this issue. However, whether the Cramér-Rao lower bound (CRLB) of such estimation is achievable still remains uncertain. To fill this gap, we first convert the channel estimation problem into a sparse signal recovery problem by utilizing the properties of discrete Fourier transform matrix and Kronecker product. Then, a joint typicality based estimator is utilized to carry out the signal recovery task. We show that, through both mathematical proofs and numerical simulations, the solution proposed in this letter can in fact asymptotically achieve the CRLB.