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基于稀疏的贝叶斯学习跨频谱的被动目标的速度估计

Xionghui Li1,2, Guolong Liang1,3,4, Tongsheng Shen2

  • 1College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括

一种新的稀疏贝叶斯学习跨频谱 (SBL-CS) 方法改进了水声弱目标被动速度计. 这种技术增强了目标速度估计,甚至在低信号噪声比率下也超过了传统方法.

关键词:
这是一个跨频谱的跨频谱.稀疏的贝叶斯式学习.速度估计的速度估计.

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