一种基于空间平滑的次空间稀疏重建被动到达方向估计方法在强干扰下
Chenmu Li1, Liang Xie1, Zhongdi Liu1
1Hangzhou Applied Acoustics Research Institute, Hangzhou, 310000, China.
The Journal of the Acoustical Society of America
|April 2, 2025
概括
本研究引入了一种新的被动到达方向 (DOA) 估计方法,使用次空间空间平滑和稀疏重建. 该技术有效地估计了在强烈的相关干扰中弱目标,提高了准确性和效率.
科学领域:
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
- 阵列信号处理 阵列信号处理
背景情况:
- 被动到达方向 (DOA) 估计对于识别没有主动传输的信号源至关重要.
- 在强烈的相关干扰下估计弱目标在信号处理方面存在重大挑战.
- 现有的方法与距离很近的目标和连贯干扰作斗争,限制了准确性.
研究的目的:
- 为复杂干扰环境中的弱目标开发先进的被动DOA估计方法.
- 为了提高对强烈,相关和连贯的干扰信号的强度.
- 在DOA估计中提高计算效率和分辨率.
主要方法:
- 建议基于次空间空间平滑的稀疏重建.
- 将样本共变矩阵投射到信号子空间可以减轻干扰.
- 使用修改增强的空间平滑和网格演变方法.
主要成果:
- 拟议的方法在强烈干扰下实现更高的分辨率和精度,用于距离较近的目标.
- 对相关和连贯信号的证明强度.
- 显著降低计算复杂度,保持估计准确度.
结论:
- 基于次空间空间平滑的稀疏重建方法在具有挑战性的场景中为被动DOA估计提供了卓越的性能.
- 该技术为具有强大的干扰的弱目标检测提供了强大且计算效率高的解决方案.
- 这一进步对需要精确信号源定位的各种应用有影响.
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