基于消除坐标参数和殖民地算法的GPS相位整数模糊性解析
Ning Liu1, Shuangcheng Zhang1, Xiaoli Wu2
1College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.
Sensors (Basel, Switzerland)
|January 25, 2025
概括
本研究介绍了一种通过提高整数模两可的分辨率来实现全球导航卫星系统 (GNSS) 高精度定位的新方法. 这种新的方法提高了确定整数模糊性的成功率,这对于准确的定位应用至关重要.
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:
- 高精度的全球导航卫星系统 (GNSS) 定位依赖于准确地解决整数模两可.
- 使用双差异模型的传统方法通常会因有限数据的坐标参数估计而增加不良位置和较低的成功率.
- 这就需要改进的算法来实现可靠的整数模两可的解决方案.
研究的目的:
- 提出一种新的整数模两可的解决方法,可以消除坐标参数,并使用群算法.
- 为了提高GNSS高精度定位的整数模糊性固定的成功率和可靠性.
- 用现实世界GPS数据与传统技术对拟议的方法进行验证.
主要方法:
- 通过QR分解转换从观察方程中消除坐标参数.
- 使用卡尔曼波器估计模两可的参数,以获得浮液溶液.
- 使用连续的乔莱斯基分解,对浮液的脱关系.
- 用殖民地算法搜索最佳整数模两可.
主要成果:
- 拟议的方法证明了对模两可的参数的良好对比效应.
- 使用静态和动态GPS数据的实验结果证实了该方法能够正确有效地解决整数模糊性的能力.
- 与最小平方和LAMBDA方法的比较表明,在固定成功率方面表现优越.
结论:
- 这种新方法有效地通过解坐标和模两可参数来解决整数模两可的问题.
- 结合卡尔曼过,乔莱斯基分解和群优化,为高精度的GNSS定位提供了强大的解决方案.
- 这一进步有助于GNSS技术的更可靠和更准确的应用.
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