首页> 外文会议>US National Committee of URSI National Radio Science Meeting >Time-reversal and MUSIC imaging of objects near rough surface based on surface flattening transform
【24h】

Time-reversal and MUSIC imaging of objects near rough surface based on surface flattening transform

机译:基于表面平坦变换的粗糙表面附近物体的时间逆转和音乐成像

获取原文

摘要

Imaging and detection of objects located near rough ocean surface from transmitters to receivers which are also located on ocean surface are important practical problem. This problem is different from usual rough surface scattering including LGA (Low Grazing Angle) scattering, because the incident wave on the surface is neither a beam wave nor a spherical wave, but it is a mixture of the coherent and incoherent waves. Therefore, this needs to be studied on the basis of stochastic rough surface Green Function. Rough Surface Green Function has been obtained for perturbation solution, but it has been difficult for large rough surface heights. We have been considering this problem using the surface flattening transform. Using this transform, Green's function for rough surface is transformed to Green's function for flat surfaces with inhomogeneous random medium. Solutions for the transformed functions have been obtained using path integral and other method for several cases. We made use of the modified Rytov Method, which conserves the power, and obtained rough surface MCF (Mutual Coherence Function). The transformed equation contains the rough surface slope, the RMS height, and the correlation distances. The integral representations in the Rytov solution have been evaluated using asymptotic form and include the surface spectrum.
机译:从发射器到位于海面上的接收器附近的物体的成像和检测位于海面上的接收器是重要的实际问题。该问题与通常的粗糙表面散射不同,包括LGA(低放牧角度)散射,因为表面上的入射波既不是光束波也不是球形波,但它是相干和不相干波的混合物。因此,需要基于随机粗糙表面绿色功能进行研究。已经获得了粗糙表面绿色功能用于扰动溶液,但对于大粗糙表面高度难以实现。我们一直在考虑使用表面扁平变换的问题。使用这种变换,绿色的粗糙表面的功能转变为具有不均匀随机介质的平面的绿色功能。已经使用路径积分和其他方法获得了转换功能的解决方案。我们利用了改进的Rytov方法,保守电力,并获得了粗糙表面MCF(相互相干功能)。变换的等式包含粗糙表面斜率,RMS高度和相关距离。使用渐变形式评估RyTov解决方案中的积分表示,并包括表面光谱。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号