使用GNSS信号和陆地蜂信号的多时代差异化伪范围联合定位机会信号
Pei Zhang1, Tian Jin1, James Chakwizira2
1School of Electronic and Information Engineering, Beihang University, Beijing 100191, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
本研究介绍了一种新的蜂和全球导航卫星系统 (GNSS) 融合定位模型,用于低信号环境. 该方法提高了准确性,避免了初始位置的需求,改善了GNSS无法使用的导航.
科学领域:
- 导航系统 导航系统
- 信号处理 信号处理
- 地理学工程 工程地质学
背景情况:
- 全球导航卫星系统 (GNSS) 对于定位至关重要,但在低可观测性环境中失败.
- 蜂机遇信号 (SOP) 提供了一个替代方案,但由于初始化困难和时空不确定性,在GNSS的融合定位方面面临挑战.
- 当前的方法在GNSS和蜂信号有限时,难以精确的位置初始化和管理不确定性.
研究的目的:
- 提出一种新的蜂SOP和GNSS信号融合定位模型,以克服在低可观测性环境中的局限性.
- 解决融合定位中精确位置初始化和时空不确定性的挑战.
- 在GNSS可用性受到损害时,提高定位系统的稳定性和准确性.
主要方法:
- 开发了一种使用伪范围单差在多时代 (PSDM) 的蜂SOP和GNSS信号融合定位模型.
- 差异化伪色被用来解决融合定位的时空不确定性.
- 一种伪线性化的封闭形式方法被衍生和重建,导致一个受约束的多步加权最小方程 (CMWLS) 方法,以减轻噪声和改善收.
主要成果:
- 拟议的PSDM模型有效地解决了使用差异化伪范围的时空不确定性.
- 重建的伪线性化和CMWLS方法克服了精确位置初始化方面的挑战.
- 模拟和实地测试在低可观测性环境中显示出良好的定位性能,优于现有方法.
结论:
- 开发的蜂SOP和GNSS信号融合定位方法为在GNSS可用性有限的环境中导航提供了可行的解决方案.
- 这种方法成功地减轻了初始化困难和时空不确定性,提供了更好的定位精度.
- 该研究提出了城市定位的新策略,消除了对先前接收器位置信息的需求.
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