使用知识辅助的反响共变率改进了缺少快照的活跃目标定位
He Wang1, Ting Zhang1, Hangfang Zhao1
1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, Chinahwangh@zju.edu.cn, zhang_ting@zju.edu.cn, hfzhao@zju.edu.cn.
JASA express letters
|September 1, 2023
概括
本研究介绍了一种以知识为基础的方法,以改善水下环境中的活跃目标定位. 这种方法通过减少反响和补偿有限的数据来增强自适应处理,从而提高了定位准确性.
科学领域:
- 信号处理 信号处理
- 声学 声学 在声学上
- 水下目标定位的定位
背景情况:
- 积极目标定位的自适应方法通常会因水下反响而退化,尤其是在数据快照不足的情况下.
- 反响会产生干扰,妨碍准确的目标识别和定位.
研究的目的:
- 提出一种基于知识辅助的共变共振的新型方法,以增强适应性处理以实现主动目标定位.
- 在具有挑战性的水下声环境中保持高分辨率并降低侧叶水平.
主要方法:
- 构建一个知识辅助的样本共变矩阵,使用从共振模型中获得的辅助共振共变量.
- 使用这个矩阵来减轻反响效应和解决快照缺陷.
主要成果:
- 提出的方法成功地将目标局部化并提高了分辨率.
- 观察到反响水平的显著降低,特别是在信号与反响比率低的条件下.
- 证明了适应性处理对主动目标定位的可靠性.
结论:
- 基于知识辅助的共变共振方法有效地克服了水下共振和快照缺陷所带来的局限性.
- 这种技术为提高主动目标定位系统的性能和可靠性提供了一个有希望的解决方案.
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