在未知的静止近场干扰下重建光束空间空间光谱:算法设计和实验验证
Jichen Chu1, Lei Cheng1, Wen Xu2
1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.
JASA express letters
|October 2, 2024
概括
本研究引入了一种新的光束空间空间频谱重建算法,以改进声波阵列信号处理. 该方法有效地处理静止近场干扰,以更好地检测目标.
科学领域:
- 声波阵列处理信号的处理信号.
- 电磁学和信号处理
背景情况:
- 静止近场干扰对空间频谱估计和声学阵列中到达方向估计构成挑战.
- 现有的算法通常需要对干扰阵列多重体的先验知识,从而限制了它们的适用性.
研究的目的:
- 提出一个新的光束空间空间光谱重建算法.
- 在近场干扰的场景中克服传统方法的局限性.
主要方法:
- 开发一个光束空间空间光谱重建算法.
- 使用模拟和现实实验数据进行评估.
主要成果:
- 拟议的算法在存在强大的静止近场干扰的情况下证明了其稳定性和有效性.
- 在具有挑战性的干扰条件下,空间频谱的成功重建.
结论:
- 这种新的算法有效地解决了声组合信号处理中的静止近场干扰.
- 这种方法通过改进空间频谱估计来增强目标检测能力.
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