基于费舍尔信息矩阵的USBL合作位置在USV-AUV网络中
Ziyuan Wang1, Jingzehua Xu2, Yuanzhe Feng3
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
本研究引入了USV-AUV网络,用于使用声合作定位精确定位水下车辆位置. 拟议的方案优化了自动水下车辆 (AUV) 的形成,以加强水下研究任务.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 海洋学 海洋学 海洋学
- 声学工程 声学工程
背景情况:
- 海洋开发日益增长的需求推动了智能设备在水下任务中的应用.
- 自主水下车辆 (AUV) 集群因其在形成任务中的灵活性和能力而被利用.
研究的目的:
- 建议在USV-AUV网络中为AUV提供高精度定位方案.
- 为了优化AUV形成阵列以提高定位准确度,使用USBL声学合作本地化.
主要方法:
- 开发一个USV-AUV网络,集成GPS和一个直角阵列,用于超短基线 (USBL) 声学合作定位.
- 分析定位准确度使用费舍尔信息矩阵在笛卡尔参数下.
- 基于Dubins函数的USV路径规划方案的实施.
主要成果:
- 基于定位准确性分析的AUV阵列最佳阵列配置的推导.
- 验证拟议方案能够确保AUV阵列的高精度定位的能力.
- 通过协调的USV-AUV行动,展示对水下研究任务的有效援助.
结论:
- 拟议的USV-AUV网络和USBL声合作本地化方案显著提高了AUV定位精度.
- 最佳的AUV形成阵列设计和USV路径规划有助于复杂的水下科学任务的成功.
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