一种优化的大规模MIMO信号检测方法及硬件架构
By optimizing the SM-IJA detection method and hardware architecture, large-scale MIMO signal detection is improved, reducing complexity and increasing processing speed and performance, thus solving the problem of high signal detection complexity in existing technologies.
CN116455433BActive Publication Date: 2026-07-17NANJING UNIV OF INFORMATION SCI & TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF INFORMATION SCI & TECH
- Filing Date
- 2023-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing large-scale MIMO signal detection algorithms are highly complex and difficult to implement effectively in practical applications.
Method used
The SM-IJA detection method is adopted. By constructing a large-scale MIMO system model, the signal is estimated and a filtering matrix is constructed based on the MMSE detection algorithm. The step matrix is used to optimize the iterative detection signal, and the signal is detected by combining the SM-IJA detection algorithm.
Benefits of technology
The complexity of signal detection was reduced, the processing speed was improved, and the feasibility of the algorithm was verified through hardware architecture, achieving a balance between performance improvement and computational complexity.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116455433B_ABST
Abstract
本发明公开了一种优化的大规模MIMO信号检测方法及硬件架构，检测方法的操作步骤包括，构建大规模MIMO系统模型，基于大规模MIMO系统模型，建立接收信号表达式，基于接收信号，根据MMSE检测算法估算用户端发送的信号并构建滤波矩阵，构建阶梯矩阵，基于阶梯矩阵算法优化迭代检测信号的初始解，基于设置的初始解，采用SM‑IJA检测算法对接收信号进行检测，得到信号估计值。
Need to check novelty before this filing date? Find Prior Art