使用传感器共识的快速和容错的被动超标定位使用传感器共识
1Alba Regia Technical Faculty, Óbuda University, 8200 Székesfehérvár, Hungary.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了一种快速的计算方法,以提高非视线场景中的被动超标定位精度. 新的算法使用共识函数增强了位置估计,通过模拟和现实数据证明了其有效性.
科学领域:
- 信号处理 信号处理
- 在本地化算法算法.
- 计算几何学的计算几何学
背景情况:
- 使用到达时差 (TDOA) 的被动超标定位在非视线 (NLOS) 环境中容易出现错误.
- 共识功能提供了一个强大的方法来减轻这些错误,并实现准确的定位.
研究的目的:
- 开发一种计算效率高的方法,在基于TDOA的本地化中最大限度地实现共识函数.
- 确保拟议的算法的全球收性和数学有效性.
主要方法:
- 为全球最大发现提出了一个快速分支和绑定计算技术.
- 算法的全球收属性经过严格的数学证明.
主要成果:
- 分支和绑定方法有效地识别了共识函数的全球最大值.
- 模拟和现实世界的测量证明了该方法在NLOS条件下提高定位精度的有效性.
结论:
- 拟议的快速分支和绑定算法提供了一个强大的和数学证明的解决方案,用于在具有挑战性的NLOS环境中增强被动超标本地化.
- 这种方法为基于TDOA的系统提供了更高的准确性,这些系统运行的是共识功能.
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