在高频传感器网络中通过多路径分离和独立跟踪高精度到达时间估计.
Qiwei Ji1,2, Huabing Wu1,3
1National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
本研究引入了一种新的多路径分离和独立跟踪 (MSIT) 架构,以改进高频 (HF) 传感器网络. 该MSIT方法显著减少了因电离层多路干扰引起的到达时间估计错误.
科学领域:
- 信号处理 信号处理
- 无线电科学 无线电科学
- 传感器网络是一个传感器网络.
背景情况:
- 高频 (HF) 传感器网络对于遥感和紧急通信至关重要.
- 电离层多路干扰严重降低了高频系统的到达时间 (TOA) 估计准确性.
- 传统方法经常将多路径组件误解为噪声,导致动态环境中的偏差.
研究的目的:
- 开发一个强大的架构来分离和跟踪HF信号中的多路组件.
- 在存在电离层干扰的情况下,提高TOA估计的准确性和可靠性.
- 为了克服传统方法的局限性,这些方法将多路径视为噪声.
主要方法:
- 提出了一种多路径分离和独立跟踪 (MSIT) 架构.
- 使用最大概率估计 (MLE) 模块进行代信号组件分离.
- 用于相位和延迟参数更新的并行跟踪循环.
- 整合了一个超分辨率的MUSIC算法用于初始化,以解决子芯片多路径组件.
主要成果:
- 在受干扰的通道条件下,与通用交叉相关 (GCC) 方法相比,实现了平均延迟估计误差减少约两个数量级.
- 通过实地实验在现实环境中成功解决和跟踪多个传播路径.
- 对高频传感系统的测量精度和可靠性显著提高.
结论:
- MSIT架构有效地将多路径干扰转化为有价值的可观测数据.
- 这种新的方法在具有挑战性的电离层条件下显著提高高频传感器网络的性能.
- 在动态高频环境中,MSIT方法为准确的TOA估计提供了可靠的解决方案.
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