A Sound Velocity Profile Inversion Method Based on Weighted Ensemble Kalman Filter Algorithm

A sound velocity profile and inversion technology, applied in the re-radiation of sound waves, measuring ultrasonic/sonic/infrasonic waves, measuring propagation velocity, etc., can solve highly nonlinear models that are not accurate enough, the convergence direction deviates from the real parameter value, and inversion results Larger errors and other problems can be achieved to improve the accuracy and improve the performance of parameter estimation

Inactive Publication Date: 2018-05-08
ZHEJIANG UNIV
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Problems solved by technology

This estimation may not be accurate enough for highly nonlinear models, causing the direction of convergence to deviate from the true parameter values, resulting in large errors in the inversion results

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  • A Sound Velocity Profile Inversion Method Based on Weighted Ensemble Kalman Filter Algorithm
  • A Sound Velocity Profile Inversion Method Based on Weighted Ensemble Kalman Filter Algorithm
  • A Sound Velocity Profile Inversion Method Based on Weighted Ensemble Kalman Filter Algorithm

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific examples to verify the effectiveness of the present invention. figure 1 Represent a kind of work flowchart of the ocean sound velocity profile inversion method based on Weighted-EnKF algorithm of the present invention, concrete implementation process is as follows:

[0051] (1) Carry out an ocean sound velocity profile inversion experiment for a certain period of time in a certain sea area to estimate the sound velocity profile. The ocean environment is a shallow sea channel with a depth of 80 meters, and the sound source and receiving array are arranged at two nodes at a distance of 3 kilometers. The depth of the sound source is 30 meters, and the radiation frequency is 255Hz. The receiving array is arranged in the sea area to be measured 3 kilometers away from the sound source, with a depth of 8.2 meters to 64.45 meters and an interval of 3.75 meters. Ther...

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Abstract

Provided is an acoustic velocity profile inversion method based on a weighted-EnKF algorithm, comprising the steps of: 1) first, employing a sound source to emit sound signals on a sea area to be measured and employing a vertical hydrophone array to collect sound pressure signals; 2) obtaining a prior acoustic velocity profile according to historical data, and utilizing an empirical orthogonal function and a coefficient thereof to represent a sea area acoustic velocity profile; 3) utilizing an empirical orthogonal function coefficient evolution equation and a sound pressure observation equation to establish a state-space model; 4) employing a weighted-EnKF algorithm to perform inversion on the empirical orthogonal function coefficient; and 5) utilizing a time-varying inverse result and an acoustic velocity profile characterization formula to calculate the time-varying acoustic velocity field of the sea area. Through simulation examples, the feasibility of acoustic velocity profile inversion based on a weighted-EnKF algorithm is displayed, and the inversion precision is verified to be higher than the precision of a routine acoustic velocity profile inversion method based on EnKF.

Description

technical field [0001] The invention belongs to a marine environment parameter inversion method, in particular to a sound velocity profile inversion method based on a weighted ensemble Kalman filter (Weighted-EnKF) algorithm. Background technique [0002] Acoustic waves are an effective carrier of ocean information and an important means of detecting ocean environment information. How to use acoustic signals to detect marine environmental information has been widely studied. The propagation of sound waves in the ocean is closely related to the physical processes in the ocean. The process of sound propagation contains a wealth of ocean temperature field and flow field distribution information. Using ocean acoustics technology to extract these parameter information can realize long-term and large-scale dynamic real-time monitoring of the marine environment. [0003] Compared with other inversion methods, hydroacoustic inversion of marine environmental parameters is an effic...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S15/88G01S7/52G01H5/00
CPCG01H5/00G01S7/52G01S7/52001G01S15/88
Inventor 李建龙潘孝刚
Owner ZHEJIANG UNIV
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