节点文献

基于甚低频声干涉结构的目标径向运动速度估计

Target’s Radial Velocity Estimation Based on the Interference Structure of the Very Low Frequency Acoustic Field

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 余赟惠俊英陈凯桑恩方

【Author】 YU Yun1,HUI Jun-ying1,CHEN Kai1,2,SANG En-fang1(1.National Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,Heilongjiang,China;2.Unit 92,Troops 91388,PLA,Zhanjiang 524022,Guangdong,China)

【机构】 哈尔滨工程大学水声技术国防科技重点实验室91388部队92分队

【摘要】 为探测安静型潜艇,宜利用其50Hz以下的共振线谱声辐射。采用双水听器声压互谱无功分量和单矢量传感器垂直复声强有功分量2种时空变换获得了线谱声场较简明的干涉结构。以此为物理基础,利用建模或有效深度近似模型预报水平相干距离,并基于干涉结构测量目标渡越一个水平相干距离尺度的时间,实现对目标径向运动速度的估计。仿真研究表明:声速剖面、海底存在吸收和存在剪切波等方面不影响干涉结构的周期变化,验证了甚低频声场稳定的相干性;建模及有效深度近似2种方法均能获得足够精度的径向运动速度估计。

【Abstract】 It is advantaged to utilize the resonance line spectrum sound radiation below the frequency of 50 Hz for detecting the quiet submarines.The straightforward interference structures of line spectrum acoustic field,which are the physical basis for the further radial velocity estimation,were achieved by adopting two kinds of spatial-temporal transformations,which are the pressure cross-spectrum reactive component of dual sensors deployed vertically and vertical complex acoustic intensity active component of single vector sensor.The horizontal coherence scale of the acoustic field can be predicted by modeling or approximate calculating with the effective depth model,and the time during which the target gets across one horizontal coherence scale can be measured based on the interference structure,so the target radial velocity estimation can be realized.The simulated results show that acoustic velocity profiles,shear waves in semi infinite basement and the seabed attenuation don’t affect the periodic feature of the interference structures which validates that the coherence of the very low frequency acoustic field is stable and strong;both the modeling method and the approximate calculating with effective depth model can obtain sufficient accuracy of radial velocity estimation.

【基金】 水声技术国防科技重点实验室基金资助项目(9140C2001010801);船舶工业科技基金资助项目(07j3.1.3)
  • 【分类号】TB566
  • 【被引频次】3
  • 【下载频次】266
节点文献中: 

本文链接的文献网络图示:

本文的引文网络