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Updated: Jan 28, 2026

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研究基于海豚群合作机制的水下机器人的自适应合作定位算法
Shiwei Fan1, Jiachong Chang2, Zicheng Wang1
1College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Biomimetics (Basel, Switzerland)
|January 27, 2026
概括
本研究介绍了无人潜艇 (UUV) 合作定位的自适应算法,提高了在杂的海洋环境中的准确性. 这种新的方法提高了对声信号干扰的稳定性,有效地减少了定位错误.
科学领域:
- 机器人技术和自主系统
- 海洋工程 海洋工程
- 信号处理 信号处理
背景情况:
- 无人驾驶水下车辆 (UUV) 的合作定位对于复杂的海上作战至关重要.
- 由于环境因素,水下声波测距容易产生重尾噪声,限制定位精度.
- 非线性和有限的可观测性进一步挑战UUV合作定位.
研究的目的:
- 开发一个强大的合作定位算法UUV在具有挑战性的海洋环境与沉重的尾巴噪音.
- 通过自适应数据融合,提高UUV导航的精度和可靠性.
主要方法:
- 开发了一个基于因子图的自适应合作定位算法 (FGAWSP).
- 构建了一个因子图模型来表示UUV定位中的概率依赖关系.
- 一个与产品算法集成的自适应权衡机制被设计为可靠的估计.
主要成果:
- 提出的FGAWSP算法证明了对异常范围值的有效处理.
- 在线评估剩余信息允许动态调整测量聚变重量.
- 实验结果显示,与传统方法相比,定位错误减少了22.31%.
结论:
- 基于因子图的自适应合作定位算法 (FGAWSP) 提供了一个强大的解决方案,用于在沉重的噪音环境中进行UUV合作定位.
- 适应式权重机制显著提高了定位准确性和可靠性.
- 这些发现证实了拟议方法在先进的海洋机器人应用中的有效性.
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