在未知的近场干扰下进行超分辨率空间频谱重建
Jichen Chu1, Lei Cheng1, Wen Xu1,2
1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
The Journal of the Acoustical Society of America
|June 10, 2024
概括
本研究介绍了一种新的空间频谱重建算法,用于水下声信号处理. 它有效地抑制未知的近场干扰,而不需要先前的位置信息,改善目标检测.
科学领域:
- 水下声学信号处理
- 阵列信号处理系统的信号处理.
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 传统的空间频谱估计与强烈的近场干扰作斗争,降低了水下声学中的性能.
- 现有的干扰抑制方法通常需要先前了解干扰参数,从而限制了它们的适用性.
研究的目的:
- 为未知近场干扰的场景提出超分辨率空间频谱重建算法.
- 开发一种减轻干扰的方法,而不需要关于其位置或大小的信息.
主要方法:
- 利用基于排名约束的放松和交替最小化来进行空间频谱重建.
- 开发一个强大的算法,适应未知的干扰特征.
主要成果:
- 拟议的算法有效地重建空间光谱在存在未知的近场干扰的情况下.
- 在分辨率,无声化和估计准确性方面表现出优于传统方法的优势.
- 实现了与使用先前干扰信息的方法相似的性能,即使数据有限或SNR低.
结论:
- 开发的空间频谱重建算法为水下声信号处理挑战提供了强大的解决方案.
- 它在未知近场干扰的场景中提供了增强的性能,优于现有技术.
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