在深水中使用光束强度条纹对水平线性阵列的被动源深度估计
Yanqun Wu1, Pingzheng Li1, Wei Guo1
1College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China.
The Journal of the Acoustical Society of America
|July 14, 2023
概括
本研究提出了一种用被动声纳和水平线性阵列来估计源深的两步方法. 它分析干扰模式,以提高深水环境中的精度.
科学领域:
- 声学 声学 在声学上
- 信号处理 信号处理
- 海洋学 海洋学 海洋学
背景情况:
- 源深度估计对于被动声纳系统至关重要,特别是在水平线性阵列 (HLA) 中.
- 由于深水中复杂的声学传播,精确的深度估计具有挑战性.
研究的目的:
- 提出一种高效的两步方案,用于使用深水中的HLA估计源深度.
- 从直接 (D) 和海面反射 (SR) 来利用构造和解构的条纹图案.
主要方法:
- 横向源阵列范围是通过子阵列光束成型从固态角度估计得出的.
- 开发的成本函数与测量和建模的光束强度条纹相匹配.
- 射线理论用于建模D-SR时间延迟模板以减轻空间平滑效应.
主要成果:
- 通过蒙特卡洛模拟,在深水中研究了应用性,并使用了不同的子阵列分区.
- 从有限的源范围,条纹扭曲和范围错误中分析了性能恶化.
- 使用两个实验数据集验证了该方法的有效性.
结论:
- 拟议的两步方案有效地使用HLA的干扰条纹来估计源深.
- 该方法在深水条件下表现出强度和准确性.
- 该方法为被动声纳应用提供了计算效率高的解决方案.
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