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合成自适应匹配场处理用于深水中移动源范围估计.

Zhaokai Zhai1,2, Fenghua Li1, Feilong Zhu1

  • 1State Key Laboratory of Acoustics and Marine Information, Beijing, 100190, China.

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概括

一种新的合成自适应匹配现场处理 (AMFP) 方法改善了移动目标的水下来源定位. 这种技术通过补偿深水环境中的信号相变异来减少定位错误.

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科学领域:

  • 海洋声学 海洋声学
  • 信号处理 信号处理
  • 水下声学 水下声学

背景情况:

  • 适应匹配场处理 (AMFP) 是有效的源定位在深水.
  • 移动的目标导致协差估计的扭曲,降低了传统的AMFP性能.

研究的目的:

  • 开发一种合成AMFP方法,以提高移动目标的源定位精度.
  • 为了弥补多快照信号中的相位扭曲,并估计目标速度.

主要方法:

  • 开发了一种合成AMFP方法来纠正多快照信号中的相位扭曲.
  • 该方法包括目标速度估计.
  • 使用数值模拟和实验数据验证了性能.

主要成果:

  • 合成AMFP方法显著减少移动目标的定位错误.
  • 在9公里范围内,与传统的AMFP相比,平均定位误差减少了1.45公里.
  • 该方法有效地弥补相位扭曲,改善协差估计.

结论:

  • 合成AMFP方法提供了一个强大的解决方案,用于在动态深水场景中提高源定位精度.
  • 这一进步对于需要精确跟踪水下移动源的应用至关重要.