对于毫米波MIMO通信的非代重建和选择网络辅助通道估计
Jing Yang1,2,3, Yabo Guo3, Xinying Guo3
1Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou 450001, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
本研究引入了一种新的,低复杂度的道估计器,用于毫米波 (mmWave) MIMO系统,提高传感精度和通信效率. 拟议的非代重建网络 (NIRNet) 显著降低了实时应用程序的计算负载.
科学领域:
- 无线通信是一种无线通信.
- 信号处理 信号处理
- 传感技术 传感技术
背景情况:
- 毫米波 (mmWave) MIMO系统对于下一代无线网络至关重要,能够实现高数据速率.
- 这些系统提供了集成传感的潜力,需要精确的物体检测和定位.
- 现有的道估计方法,如学习近似消息传递 (LAMP),是计算密集的,限制了大规模部署.
研究的目的:
- 为毫米波MIMO系统开发一个低复杂度的通道估计器.
- 提高毫米波系统的传感分辨率和通信效率.
- 为了解决代通道估计方法的局限性.
主要方法:
- 提出了一个非代重建网络 (NIRNet) 以实现高效的光束空间通道重建.
- 引入了一个基于学习的选择矩阵 (LSM),生成一个信号感知高斯测量矩阵.
- 整合了一个无声网络,以在低信号噪声比 (SNR) 条件下提高准确性.
主要成果:
- 与基于LAMP的方法相比,NIRNet实现了显著降低计算开销.
- 在道估计方面,LSM的表现优于传统的伯努利矩阵.
- 拟议的算法证明了优越的正常化平均平方误差 (NMSE) 和可实现的总和率 (ASR).
结论:
- 基于NIRNet的算法为毫米波MIMO系统提供了低复杂度,高性能的解决方案.
- 该方法提高了通信效率和传感分辨率,这对于实时应用至关重要.
- 观察到,在低SNR条件下,训练开销减少,准确性提高.
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