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On the performance of geo-acoustic estimation for a distributed sensor array

机译:分布式传感器阵列的地声估计性能

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The vision underlying the Widely scalable Mobile Underwater Sonar Technology (WiMUST) project is that of developing advanced cooperative and networked control / navigation systems to enable a large number (tenths) of marine robots towing small acoustic arrays to act as a coordinated team for seismic sub-bottom imaging. The space-time coherent processing of bottom returns requires the ensemble of short acoustic arrays to be seen as a single spatially distributed sensor array. Since the vehicles are free to move along range, cross-range and depth the resulting distributed sensor array may take, at least conceptually, any spatial shape. With array shape freedom comes the question of which is the most suitable (or optimal) array geometry for sub-bottom imaging and inversion. The answer to this question hinges, among others, on the definition of performance of a seismic sub-bottom profiling system. Determining the optimal sensor array geometry is clearly a ill-posed problem, since the optimal geometry is itself bottom dependent, and there is no such environment as “one size fits all”. This work addresses several criteria for sub-bottom profiling system performance including gain, resolution and probability of detection. Two physical models will be tested: one based on acoustic wave reflection used in traditional seismic imaging, and another normally used in matched-field bottom properties estimation, that includes propagation and refraction. Simulations to support the theoretical developments and algorithms were obtained on a scenario inspired in a real environment off the coast of Peljesac (Croatia).
机译:广泛可扩展的水下声纳技术(WiMUST)项目的愿景是开发先进的协作式和网络化控制/导航系统,以使大量(十分之几)拖曳小型声学阵列的海洋机器人能够充当地震潜艇的协调团队-底部成像。底部回波的时空相干处理要求将短声学阵列的集合视为单个空间分布的传感器阵列。由于车辆可以自由地沿范围,跨范围和深度移动,因此,所得的分布式传感器阵列至少在概念上可以采用任何空间形状。阵列形状自由度带来的问题是,哪种方法最适合(或最佳)用于亚底部成像和反演的阵列几何形状。这个问题的答案尤其取决于地震子底部轮廓分析系统的性能定义。确定最佳传感器阵列的几何形状显然是一个不适的问题,因为最佳几何形状本身取决于底部,并且不存在“一种尺寸适合所有人”的环境。这项工作解决了用于底层分析系统性能的几个标准,包括增益,分辨率和检测概率。将测试两种物理模型:一种基于传统地震成像中使用的声波反射,另一种通常用于匹配场底部特性估计(包括传播和折射)。在Peljesac(克罗地亚)沿海的真实环境中激发灵感的场景中获得了支持理论发展和算法的仿真。

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