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A New Method for Getting Parameters of Fish School

机译:一种获取鱼类参数的新方法

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One of the most primary methods of hydroacoustic fisheries resource evaluation is echo integration method, which uses the echo strength integral value of the fish school in a sampling volume divided by the of a single target to get the number of fish. But the target strength of fish school will change with the changes of detective signal frequency, species and length of fish, even the azimuth that fish distributed in the water, which make the operability of the echo integration method decreased dramatically. Based on system identification theory, a new method for getting parameters of fish school is proposed in this paper, regarding the fish school as a filtering system in acoustic field, the depth, volume and abundance ratio of the fish school can be got by estimating its impulse response. Predictive filtering method is adopted in fish school impulse response estimation, so more information of the fish school can be got, and the restriction of limited detection bandwidth can be overcome. Theory of system identification is used in getting information of fish school, which is analyzed in this paper, and the realization process is described by computer simulation. A new path to evaluate fisheries resource is offered by the new method.
机译:水声渔业资源评估最主要方法之一是回声集成方法,它利用鱼类学校的回声强度整体价值除以单个目标来获得鱼的数量。但是鱼类学校的目标实力将随着侦探信号频率,物种和鱼的长度的变化而变化,即使是在水中分布的方位角,这使得回声整合方法的可操作性急剧下降。基于系统识别理论,本文提出了一种新的鱼类参数参数的方法,关于鱼类学校作为声场的过滤系统,可以通过估计其估算鱼类学校的深度,体积和丰度比率脉冲响应。在鱼类学校脉冲响应估计中采用预测滤波方法,因此可以获得鱼类学校的更多信息,并且可以克服有限的检测带宽的限制。系统识别理论用于获取鱼类学校的信息,本文分析,并通过计算机仿真描述了实现过程。新方法提供了评估渔业资源的新路径。

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