一个GNSS接收器定位算法,基于在较低的旋转速度下加权不连续信号的统计属性
Jiahui Gan1,2,3, Peng Wu1,2,3, Lu Feng1,2,3
1College of Electronic Communication and Electrical Engineering, Changsha University, Changsha, China.
PloS one
|December 5, 2025
概括
本研究介绍了一种新的全球导航卫星系统 (GNSS) 定位算法. 它通过加权统计特征来提高不连续信号的接收器的准确性,减少定位错误.
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
背景情况:
- 低速旋转会导致全球导航卫星系统 (GNSS) 接收器的信号损失.
- 由于信号损失导致的不连续接收会降低定位准确度.
- 拒绝异常数据的传统方法减少了可用的卫星数据,并恶化了几何分布.
研究的目的:
- 开发一个改进的GNSS接收器定位算法.
- 为了应对低速度旋转环境中不连续信号所带来的挑战.
- 通过充分利用可用的卫星观测数据来提高定位准确性.
主要方法:
- 提出了一个GNSS接收器定位算法,权衡不连续信号的统计特征.
- 采用卡尔曼过算法,独立识别观察权重的模型.
- 使用预订定位结果来参考和改进计算.
主要成果:
- 降低了水平定位误差,从1 / 18转/秒的37.16米降至28.31米.
- 与原始算法相比,证明了更好的定位准确性.
- 成功利用不连续的卫星信号数据.
结论:
- 拟议的算法有效地减轻由不连续的GNSS信号引起的定位错误.
- 对信号的统计特征进行权衡,可以在具有挑战性的环境中提高定位准确性.
- 该方法提供了一种可行的解决方案,用于提高GNSS在低速度旋转期间的性能.
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