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最佳的几何和运动协调,用于多传感器目标跟踪,只有轴承测量
Shen Wang1, Yinya Li1, Guoqing Qi1
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究优化了移动传感器几何和运动,以更好地跟踪目标. 它介绍了一种传感器在目标周围形成最佳圆形形成的方法,提高了跟踪精度.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 传感器网络 传感器网络
- 估计理论估计理论
背景情况:
- 移动传感器网络对于目标跟踪至关重要.
- 由于有限的测量类型,只有轴承的传感器存在独特的挑战.
- 优化传感器几何和运动是提高跟踪性能的关键.
研究的目的:
- 为了获得多个移动轴承仅传感器的最佳几何形状.
- 开发传感器的运动协调策略,以实现最佳的形成.
- 通过最佳的传感器配置来提高目标跟踪性能.
主要方法:
- 使用对n个传感器的D-最佳度推导一般最佳传感器-目标几何.
- 开发一种运动协调方法,以实现圆形半径轨道 (CRO) 和圆形形成.
- 在约束下优化传感器运动,以最大限度地减少行程距离.
主要成果:
- 基于对传感器数量的分区,建立了一个一般最佳的传感器-目标几何.
- 介绍了一种引导传感器进入CRO,然后进入最佳几何子集的方法.
- 拟议的方法有效地引导传感器实现所需的构成,以改善跟踪.
结论:
- 由此衍生的最佳几何和运动协调方法提高了仅用于轴承传感器的目标跟踪性能.
- 这种方法有效地引导传感器形成最佳的圆形形状.
- 这项工作为设计协调的移动传感器系统提供了有价值的框架.
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