过和重叠数据用于提高基于多普勒的定位方法的精度
Rafał Szczepanik1, Jan M Kelner1
1Institute of Communications Systems, Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
这项研究使用信号多普勒频率 (SDF) 方法增强了无线电发射器定位. 先进的过和重叠技术显著减少了定位错误,提高了侦察系统的准确性.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 地理空间智能是什么?
背景情况:
- 无线电发射器定位对于现代侦察和移动网络至关重要.
- 信号多普勒频率 (SDF) 方法使用多普勒频率转移 (DFS) 来定位发射器.
- 现有的SDF方法需要改进,以提高准确性和效率.
研究的目的:
- 为了提高信号多普勒频率 (SDF) 方法的准确性和效率,用于无线电发射器定位.
- 在SDF方法中引入先进的信号处理技术,包括过和重叠.
- 在动态场景中评估增强型SDF方法的性能.
主要方法:
- 在 DFS 矢量层面实施专用低通选.
- 在信号样本和DFS矢量层引入一种新的两级重叠方法.
- 进行各种过器类型,切断频率和重叠参数的模拟研究.
- 在静止发射器和移动接收器的动态场景中评估性能.
主要成果:
- 在DFS矢量层面的低通过将局部化错误减少约30%.
- 信号样本水平重叠 (10%) 降低了本地化错误的两倍以上.
- DFS矢量级重叠增加了局部对象的位置更新率.
- 与直接位置确定技术相比,增强的SDF方法显示出高效率.
结论:
- 拟议的改进显著提高了使用SDF方法的无线电发射器定位精度.
- 先进的过和重叠对于最小化动态环境中的本地化错误至关重要.
- 优化的SDF方法非常适合于现实应用,包括基于无人机的定位传感器.
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