Department of Mechanical Engineering, Stanford University, Durand Building, Office 028, 496 Lomita Mall, Stanford, California 94305, USA.
J Acoust Soc Am. 2010 Aug;128(2):711-8. doi: 10.1121/1.3455849.
This paper considers the problem of imaging a complex object submerged in shallow waters using a sparse surface sensor array and a hybrid signal processing method. This method is constructed by refining the Kirchhoff migration technique to incorporate a zoning of the sensors and an analysis of multiple reflections, and combining it with the direction of arrival estimation method. Its performance is assessed and analyzed with the shape identification of a mockup submarine by numerical simulation. The obtained numerical results highlight the potential of this approach for identifying underwater intruders.
本文研究了使用稀疏表面传感器阵列和混合信号处理方法对浅水中复杂物体进行成像的问题。该方法通过细化 Kirchhoff 偏移技术来构建，将传感器分区和多次反射分析结合起来，并与到达方向估计方法相结合。通过数值模拟对模拟潜艇的形状识别进行了性能评估和分析。得到的数值结果突出了该方法在识别水下入侵者方面的潜力。
