在无人机辅助的OFDM系统中通过利用LoS和回声传感与载波聚合来进行通道估计
Zhuolei Chen1, Wenbin Wu1, Renshu Wang1
1Electric Power Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究引入了一种新的通道估计 (CE) 方法,用于使用载体聚合 (CA) 的无人机辅助通信. 拟议的技术通过使用视线和回声传感来提高高流动性场景中的CE精度.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 航空航天工程 航空航天工程
背景情况:
- 无人驾驶飞行器 (UAV) 辅助的无线系统使用载波聚合 (CA) 来解决带宽限制.
- 由于动态通道特性,高流动性无人机通信对准确的通道估计 (CE) 提出了重大挑战.
研究的目的:
- 为支持CA的无人机辅助通信系统提出一种新的视线 (LoS) 和基于回声传感的CE方案.
- 在动态无人机环境中,提高主要组件载体 (PCC) 和次要组件载体 (SCC) 的CE准确性.
主要方法:
- 采用LoS传感和回声传感来获取预先信息,以改进PCC通道估计.
- 利用PCC和SCC之间的路径共享属性,在延迟多普勒 (DD) 域中重建SCC通道.
- 实施了SCC通道重建的三阶段过程.
主要成果:
- 拟议的方案显著提高了PCC和SCC的CE准确性.
- 模拟结果验证了开发的通道估计方法的有效性.
- 该方案证明了对系统参数变化的稳定性.
结论:
- 基于LoS和回声传感的CE方案有效地解决了在高流动性CA启用无人机系统中通道估计的挑战.
- 拟议的方法为改善无人机辅助网络的通信性能提供了可靠的解决方案.
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