Fish stock quantity estimating method based on probability hypothesis density particle filtering algorithm

A particle filter algorithm, probability assumption density technology, applied in the direction of sound wave re-radiation, radio wave measurement system, measurement device, etc., can solve the problems of large error, damage to fish resources, etc., and achieve a simple and high-precision method Effect

Inactive Publication Date: 2017-05-31
ZHEJIANG UNIV
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Problems solved by technology

The traditional method mainly relies on sampling fishing, which is harmful to the fish resources itself; or using a metering fish finder, using the echo integration method or echo counting method for measurement, which can only roughly estimate the number of fish schools, and the error is large

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  • Fish stock quantity estimating method based on probability hypothesis density particle filtering algorithm
  • Fish stock quantity estimating method based on probability hypothesis density particle filtering algorithm
  • Fish stock quantity estimating method based on probability hypothesis density particle filtering algorithm

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Embodiment Construction

[0049] The present invention will be described in further detail below in conjunction with specific embodiments and accompanying drawings, but the present invention is not limited thereto.

[0050]The dual-frequency identification sonar used in this example is mainly a multi-beam system composed of 3 lenses and a sonar array. It can transmit ultrasonic waves with a frequency of 1.8MHz or 1.1MHz underwater. The minimum beam detection range is 5 meters. The maximum is 40 meters, the rate of receiving data is up to 20 frames of images per second, the detection field of view is 29° in the horizontal direction, and 14° in the vertical direction, the weight in the air is about 7 kg, and the power is about 30W. figure 1 It is a flow chart of the realization of fish population estimation using dual-frequency identification sonar. The main process is described as follows:

[0051] The first step is to fix the dual-frequency identification sonar on the survey ship. Such as figure 2 A...

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Abstract

The invention discloses a fish stock quantity estimating method based on a probability hypothesis density particle filtering algorithm; the method includes steps of (1), fixing dual-frequency identifying sonar; (2), performing underwater detection through wall navigation, and acquiring acoustic data; (3), processing the acoustic data, and counting the fish body by using the probability hypothesis density particle filtering algorithm; (4), calculating the volume of the sweeping water body, and solving the density of the fish stock; (5), according to the water storage of the known water domain, estimating the fish body number in the whole water domain. By using the probability hypothesis density particle filtering algorithm based on a random set theory, the fish body is counted one by one, and the fish stock number in the water body identified by dual-frequency and swept by sonar is counted; the method is simple and easy to practice, high-efficient and cannot damage the fish resource, and others; compared with the traditional method of integrating by using the target intensity, the method has higher precision, and provides a new way for the fish resource evaluation.

Description

technical field [0001] The invention belongs to the technical field of fishery resources assessment, and in particular relates to a method for estimating the number of fish schools based on a probability hypothesis density particle filter algorithm. Background technique [0002] The assessment of fishery resources is an important link in the process of modern fishery development, and the statistics of fish stocks is the most basic requirement of fishery resources assessment. The traditional method mainly relies on sampling fishing, which is harmful to the fish resources itself; or using a metering fish finder, using the echo integration method or echo counting method for measurement, which can only roughly estimate the number of fish schools, with large errors. Modern society puts forward higher requirements for improving the quality and output of fishery resources, effectively protecting marine ecosystems, and realizing the sustainable development of marine resources. For ...

Claims

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Application Information

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IPC IPC(8): G01S15/96G01S7/539
CPCG01S7/539G01S15/96
Inventor 韩军荆丹翔王杰英杜鹏飞章旻昊任佳
Owner ZHEJIANG UNIV
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