计算贝叶斯推断,用于在音速概况不确定性下的主动声纳定位
Abner C Barros1,2, Paul J Gendron2
1Naval Undersea Warfare Center Division Newport, Newport, Rhode Island 02841, USA.
JASA express letters
|February 10, 2025
概括
这项研究引入了贝叶斯的方法,用于主动声纳定位,提高精度,尽管具有挑战性的条件,如不确定的声音速度配置文件. 这种方法有效地映射声学数据,以精确定位物体的位置和速度.
科学领域:
- 海洋声学 海洋声学
- 信号处理 信号处理
- 贝叶斯的推理 贝叶斯的推理
背景情况:
- 主动声纳定位面临的挑战包括小的接收光圈,不确定的声音速度 (SSP) 配置文件和有限的连贯时间.
- 准确的定位对于水下物体跟踪和绘制地图至关重要.
研究的目的:
- 开发一种计算贝叶斯式方法,用于强大的主动声纳定位.
- 为应对不确定的声速配置和有限的声学数据所带来的挑战.
- 描述分散的声场,推断目标位置和速度.
主要方法:
- 从角度/多普勒扩散到达的波向量推断声学场的特征.
- 绘制波向量的后密度到散射物体的位置和速度,使用自射线插值和边缘化.
- 用多变量高斯式和低维子空间模式建模SSP不确定性.
主要成果:
- 提出的贝叶斯方法有效地处理了小的接收光圈,不确定的SSP和有限的连贯时间.
- 自射线插值和边缘化成功地将波向量信息映射到目标特征.
- 在使用地中海音速配置文件的案例研究中证明了有效性.
结论:
- 计算贝叶斯式方法为在具有挑战性的水下条件下主动声纳定位提供了强大的解决方案.
- 精确的定位是可以实现的,即使在音速概况中存在显著的不确定性.
- 该方法在水下声学传感和目标跟踪方面取得了重大进展.
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