基于信息几何原理的环境和统计学上稳健的匹配场源本地化
Jingwei Yin1,2, Xuan Zhou1,2, Ran Cao1,3
1Key Laboratory for Polar Acoustics and Application of Ministry of Education (Harbin Engineering University), Ministry of Education, Harbin, 150001, China.
The Journal of the Acoustical Society of America
|December 10, 2024
概括
本研究介绍了一种强大的匹配场处理 (MFP) 方法,使用信息几何学来改善水下源的定位. 与传统技术相比,新方法提高了准确性并减少了干扰.
科学领域:
- 海洋声学 海洋声学
- 信号处理 信号处理
- 地质物理学 地质物理学
背景情况:
- 匹配场处理 (MFP) 使用阵列和复制信号定位水下源.
- 传统的MFP依赖于跨光谱密度矩阵 (CSDM) 之间的欧几里德距离,但对环境和统计不匹配很敏感.
- 现有的方法,如带有环境扰乱约束的最小方差MFP,提供有限的稳定性.
研究的目的:
- 开发一个强大的MFP用于水下来源定位.
- 提高对环境和统计数据不匹配的稳定性.
- 改进源本地化分辨率并降低侧叶水平.
主要方法:
- 使用信息几何学来建模CS DMs作为Riemannian多元体上的点.
- 使用地理距离量化CSDM相似性.
- 引入一个受约束的复制品CSDM,并使用里曼尼和修改的詹森-香农距离用于一个新的MFP.
- 开发基于非欧几里德距离的强大的匹配场处理器.
主要成果:
- 与传统的MFP相比,拟议的处理器在环境和统计不匹配方面表现出更高的稳定性.
- 模拟和实验结果证实了性能的提高.
- 侧叶水平降低,分辨率提高.
结论:
- 可以使用信息几何学和非欧几里德距离来提升MFP.
- 拟议的强大的MFP为水下来源定位提供了显著的改进.
- 这种方法为复杂的海洋环境中声信号处理提供了更可靠的方法.
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