改善城市峡谷的卫星定位准确度,通过使用GPS信号强度可变性的新重量模型
Hye-In Kim1, Kwan-Dong Park1,2
1PP-Solution Inc., 606 Seobusaet-gil #B-2311, Seoul 08504, Republic of Korea.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
一个新的HK模型通过分析信号与噪声比率 (SNR) 的变化来提高全球定位系统 (GPS) 在城市的准确性. 这种方法提高了定位,特别是在具有多路径干扰的具有挑战性的城市峡谷中.
科学领域:
- 地理学工程 工程地质学
- 卫星导航系统 卫星导航系统
- 信号处理 信号处理
背景情况:
- 城市环境会降低全球定位系统 (GPS) 的准确性,原因是多路径干扰和卫星可见度受阻.
- 现有的权重模型往往难以有效地缓解这些城市定位挑战.
研究的目的:
- 引入一种新的HK模型,以提高城市环境中的实时GPS定位准确度.
- 为了利用信号与噪声比 (SNR) 的变化,在没有辅助传感器的情况下改善定位.
主要方法:
- 开发了HK模型,该模型根据SNR标准偏差对信号进行分类.
- 将模型应用于来自开放天空,城市街道和城市峡谷环境的24小时GPS数据集.
- 将HK模型的性能与传统的SNR和基于高度的权重技术进行了比较.
主要成果:
- 在城市地区的非视线 (NLOS) 信号显示出比视线 (LOS) 信号更大的SNR变化.
- 香港模型显著提高了3D定位精度,在城市峡谷中降低了7.8米,在城市街道上降低了7.8米的水平根平均平方误差 (RMSE).
- 城市峡谷的垂直RMSE从19.5米降至6.9米,水平RMSE从13.0米降至4.7米.
结论:
- 在具有挑战性的城市环境中,HK模型对GPS定位的传统方法提供了实质性的改进.
- 它的有效性在密集的城市环境中常见的严重多路线条件下特别明显.
- 该模型提供了持续的精度增强,特别是在垂直定位方面.
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