水下来源计数与局部信心水平增强密度集群
Yang Chen1, Yuanzhi Xue1, Rui Wang1
1School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了使用单个声向量传感器进行水下平台的增强源计数方法. 该技术通过提炼密度聚类与本地置信级别来提高准确性.
科学领域:
- 水下声学 水下声学
- 信号处理 信号处理
- 自主系统 自主系统
背景情况:
- 准确的源数计数对于自主水下平台至关重要.
- 现有的方法可能会在复杂的声学环境中扎.
研究的目的:
- 为单个声向量传感器提出一个改进的源计数方法.
- 为了提高自主水下平台检测的准确性.
主要方法:
- 计算声音压力和振动速度的短时间里叶变换 (STFT).
- 从时间频率数据中估计到达方向 (DOA).
- 应用局部可信度级增强密度集群来分类DOA.
主要成果:
- 改进的方法成功地对DOA进行分类,并确定源编号.
- 当地信任权重改善了集群中心和侧面环节之间的密度差异.
- 与基本密度聚类相比,实现了更高的源数计数精度.
结论:
- 拟议的局部可信度水平增强密度集群方法显著提高了来源计数的准确性.
- 这种方法为自主水下应用中的源计数提供了更强大的解决方案.
- 该技术有效地利用单个声向量传感器数据.
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