基于随机和固定采样的半有源IRS系统信道估计方法及系统
By employing a semi-active IRS system channel estimation method with random and fixed sampling in millimeter-wave systems, combined with low-rank matrix recovery and nuclear norm regularization techniques, the problems of high channel estimation overhead and complexity are solved, and efficient and accurate estimation of channel state information is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU DIANZI UNIV
- Filing Date
- 2025-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing channel estimation methods are expensive and complex in millimeter-wave systems, making it difficult to accurately estimate channel state information, especially with the assistance of smart reflectors.
A channel estimation method for semi-active IRS systems based on random and fixed sampling is adopted. By sampling and preliminarily estimating the first channel model between the user and the reflector and the second channel model between the reflector and the base station, and combining low-rank matrix recovery and nuclear norm regularization techniques, a cascaded channel is constructed to reduce estimation overhead and complexity.
It significantly reduces the overhead and complexity of channel estimation, improves the estimation accuracy of channel state information, and achieves accurate channel reconstruction.
Smart Images
Figure CN120455210B_ABST