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Inverse problem solution techniques as applied to indirect in situ estimation of fish target strength

机译:反问题解决技术应用于鱼类目标强度的间接原位估计

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In situ indirect methods of fish target strength (TS) estimation are analyzed in terms of the inverse techniques recently applied to the problem in question. The solution of this problem requires finding the unknown probability density function (pdf) of fish target strength from acoustic echoes, which can be estimated by solving the integral equation, relating pdf's of echo variable, target strength, and beam pattern of the echosounder transducer. In the first part of the paper the review of existing indirect in situ TS-estimation methods is presented. The second part introduces the novel TS-estimation methods. viz.: Expectation, Maximization, and Smoothing (EMS), Windowed Singular Value Decomposition (WSVD), Regularization and Wavelet Decomposition, which are compared using simulations as well as actual data from acoustic surveys. The survey data, acquired by the dual-beam digital echosounder, were thoroughly analyzed by numerical algorithms and the target strength and acoustical backscattering length pdf's estimates were calculated from fish echoes received in the narrow beam channel of the echosounder. Simultaneously, the estimates obtained directly from the dual-beam system were used as a reference for comparison of the estimates calculated by the newly introduced inverse techniques. The TS estimates analyzed in the paper are superior to those obtained from deconvolution or other conventional techniques, as the newly introduced methods partly avoid the problem of ill-conditioned equations and matrix inversion.
机译:根据最近应用于该问题的逆向技术,对鱼类目标强度(TS)估计的原位间接方法进行了分析。要解决此问题,需要从声波回波中找到鱼目标强度的未知概率密度函数(pdf),这可以通过求解积分方程,将回波变量的pdf,目标强度和回声测深仪的波束方向图联系起来来估算。在本文的第一部分中,介绍了现有的间接原位TS估计方法。第二部分介绍了新颖的TS估计方法。即:期望,最大化和平滑(EMS),窗口奇异值分解(WSVD),正则化和小波分解,使用模拟和声学测量的实际数据进行比较。通过双波束数字回声测深仪采集的调查数据已通过数值算法进行了全面分析,并根据在回声测深仪窄波束通道中接收到的鱼的回声计算了目标强度和声学反向散射长度pdf的估计值。同时,直接从双光束系统获得的估计值被用作比较新引入的逆技术计算出的估计值的参考。本文中分析的TS估计优于通过反卷积或其他常规技术获得的TS估计,因为新引入的方法部分避免了病态方程和矩阵求逆的问题。

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