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Fish Target Strength Estimation Using Multiple Echo Statistics

机译:使用多重回声统计量估算鱼的目标强度

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摘要

When fish strength is estimated indirectly from the sounder echo amplitudes, the inverse techniques of solving the so-called "single-beam integral equation" are quite satisfactorily used. This approach needs prior knowledge of the beam pattern PDF, as it represents the kernel of the integral equation to be solved and is usually calculated under the assumption of a uniform spatial distribution of fish. However, it may be shown that in some cases this assumption is not necessarily justified. For instance, when the density of fish increases, one receives multiple echoes from the same single fish in successive transmissions, which results in observing so-called fish echo traces. Typically used fish counting methods are either simple direct echo counting statistics or fish traces statistics. Increased fish concentration is not only the reason of multiple echo formation resulting in the fish traces in consecutive pings. As it is easily seen from the geometry of the phenomenon, even a relatively how-density fish aggregation forms multiple echoes and, hence, fish traces if the vessel (or fish) relative speed is low enough and the beam pattern angular width (sampling volume) is large enough. In some situations, the uniform assumption works properly only for the cases of large numbers of samples. Taking into account this phenomenon, the accuracy of the solution can be improved by including the fish traces counting statistics in calculating the beam pattern PDF. In this paper, two different models of fish traces statistics are investigated: one assuming the vessel movement with stationary fish and the other with a stationary vessel and moving fish. Both approaches are modeled numerically and verified experimentally using the data obtained from a dual-beam system. The comparison of both approaches, i.e., for single echo traces and multiple echoes, is carried out using Windowed Singular Value Decomposition (WSVD) and Expectation Maximization and Smoothing (EMS) inverse techniques of fish target strength estimation in both the absolute domain (backscattering length estimation) and the logarithmic domain (target strength estimation).
机译:当从发声器的回波幅度间接估算出鱼的强度时,使用令人满意的求解所谓“单束积分方程”的逆技术即可。这种方法需要先了解波束模式PDF,因为它表示要求解的积分方程的核,并且通常在鱼的空间分布均匀的前提下进行计算。但是,可能表明在某些情况下此假设不一定是合理的。例如,当鱼的密度增加时,人们会以连续的传输方式从同一条鱼中接收到多个回声,这导致观察到所谓的鱼回声轨迹。通常使用的鱼类计数方法是简单的直接回声计数统计或鱼类痕迹统计。鱼的浓度增加不仅是形成多个回声的原因,从而导致鱼在连续的ping中出现痕迹。从现象的几何形状很容易看出,即使密度相对较高的鱼聚集也会形成多个回波,因此,如果船只(或鱼)的相对速度足够低且波束方向图的角宽度(采样量)足够大,鱼的踪迹也就形成了。 )足够大。在某些情况下,统一假设仅适用于大量样本的情况。考虑到这种现象,可以通过在计算波束方向图PDF时包括鱼迹计数统计信息来提高解决方案的准确性。在本文中,研究了两种不同的鱼类痕迹统计模型:一种是假设船只在静止状态下移动,而另一种是在船只静止且移动状态下进行的。两种方法都进行了数值建模,并使用了从双光束系统获得的数据进行了实验验证。两种方法的比较,即针对单个回波轨迹和多个回波,使用窗口奇异值分解(WSVD)和期望最大化和平滑化(EMS)反向技术在绝对域(反向散射长度)中进行鱼目标强度估算来进行比较估计)和对数域(目标强度估计)。

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