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了解和减轻经过船只对来自环境声波的水下环境估计的影响)
John Lipor1, John Gebbie2, Martin Siderius1
1Department of Electrical and Computer Engineering, Portland State University, 1900 Southwest 4th Avenue, Suite 160, Portland, Oregon 97201, USA.
The Journal of the Acoustical Society of America
|February 5, 2025
概括
低级干扰降低了使用环境声音的海底类型歧视. 一种新的方法可以重建无干扰数据,使得海底声学分析准确,并改善了底部损失估计.
科学领域:
- 声学信号处理 声学信号处理
- 地质物理遥感 遥感 遥感
- 统计学假设测试 统计学假设测试
背景情况:
- 区分海底类型依赖于分析声学数据,通常使用协变矩阵.
- 盒子的M-测试是基于共变的标准方法来比较海底类型.
- 低级干扰,如船舶噪音,可以显著损害这些测试的准确性.
研究的目的:
- 为了调查由于低级干扰而导致海底类型歧视的性能退化.
- 开发一种方法来减轻这种干扰对声学数据的影响.
- 提高海底表征和底部损失估计的假设测试的准确性.
主要方法:
- 制定了海底类型歧视,作为对共变率等同的两样本假设测试.
- 开发了一种方法来构建最坏的低级干扰场.
- 实施了交替优化程序以恢复无干扰共变矩阵.
主要成果:
- 构造干扰在合成实验中显著降低了假设测试性能.
- 建议的恢复方法有效地消除了对小干扰等级的干扰.
- 现实世界的实验证明了成功的干扰减轻和改善底部损失估计.
结论:
- 低级干扰对声学海底歧视构成重大挑战.
- 开发的干扰恢复技术提高了假设测试的可靠性.
- 这种方法提供了一种实际的解决方案,用于在噪音较大的声学环境中改善海底的表征.
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