一种集成匹配场算法的方法,用于三维定位和搜索水下沉船目标.
Huapeng Cao1, Tingting Yang1,2, Ka-Fai Cedric Yiu3
1School of Navigation, Dalian Maritime University, Dalian 116026, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了一种新的算法,用于使用统一的圆形阵列进行水下目标定位. 该方法通过改善潜水物体的三维定位来提高海上搜救的准确性.
科学领域:
- 海洋学 海洋学 海洋学
- 声学 声学 在声学方面
- 信号处理 信号处理
背景情况:
- 准确的三维 (3D) 水下目标定位对于海上搜救行动至关重要.
- 现有的方法往往面临着角度模糊性和计算复杂性的挑战.
- 需要强大高效的水下定位系统至关重要.
研究的目的:
- 提出一个共同的匹配场处理 (MFP) 算法,用于精确的水下目标的3D定位.
- 增强实时到达方向 (DOA) 估计,以改善目标定位.
- 开发一种计算效率高的方法,以减轻水下定位中的角度模糊性.
主要方法:
- 一个海洋搜索和救援定位模型,集成最小变量无扭曲响应 (MVDR) 和匹配场方位联合算法.
- 一种MVDR光束成形技术,采用卡尔曼预先过,用于精细的DOA估计和动态天线阵列重量调整.
- 一个自适应匹配场算法 (AMFP) 使用DOA信息来估计目标范围和深度.
主要成果:
- 拟议的MFP算法成功实现了水下目标的联合3D定位.
- 该方法有效地减轻了角度模两可,消除了对计算密集的2D光谱搜索的需求.
- 与基线方法相比,模拟显示在不同信号噪声比率 (SNR) 和传感器坐标误差条件下,定位精度更高.
- 实验结果证实了框架在复杂的海洋环境中的强度.
结论:
- 共同开发的MFP算法为3D水下目标定位提供了有效的解决方案.
- 这种方法提供了更高的准确性和稳定性,对于快速响应的水下定位系统尤其有价值.
- 这项研究为通过先进的声学定位技术增强海上搜救能力奠定了实际基础.
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