Underwater acoustic communication sound field generation method driven by measured data

Abstract

The invention relates to the technical field of underwater acoustic field detection, discloses an actual measurement data-driven underwater acoustic communication sound field generation method, and aims to optimize the performance of an underwater acoustic communication system in a changeable marine environment. According to the method, real-time marine hydrological conditions such as temperature, salinity, depth and submarine topography are integrated, a sound ray theory is utilized, a simulation method (such as a Bellhop module) of a theoretical model is combined, an accurate sound field model is generated and stored, a sound velocity gradient map and a propagation loss map are calculated, and the propagation path and loss of sound waves are predicted. The model can automatically adapt to various marine environments, the optimal communication link is recommended, and the sound field generation efficiency and adaptability are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of underwater acoustic field detection, and in particular to a method for generating an underwater acoustic communication sound field driven by measured data. Background Art

[0002] Sound waves are the only information carrier that can be transmitted over long distances in seawater so far, and the sound propagation model is the scientific foundation of underwater detection and communication. In related technologies, the sound propagation model mainly uses the ray method, Gaussian beam method, beam integration method, simple normal wave method, and parabolic method. Although these traditional sound propagation models have achieved certain success in specific application scenarios, they require users to input complex parameters of the ocean environment, which is a challenge for non-professionals. At the same time, variables in the ocean environment, such as changes in temperature, salinity, depth, and seabed topography, limit the accuracy of these models in practical applications.

[0003] Traditional technologies, such as the BELLHOP model, usually require users to manually input a large number of marine environmental parameters, which are often derived from theoretical models or limited measured data. This method has limitations in data accuracy and real-time performance, and it is difficult to fully reflect the dynamic changes of the marine environment, thus affecting the accuracy of the sound field simulation.

[0004] Therefore, it is necessary to provide a method for generating underwater acoustic communication sound fields driven by measured data to solve the above technical problems. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a method for generating an underwater acoustic communication sound field driven by measured data. This is a technology that cross-utilizes measured data drive and simulation software, which aims to improve the performance of underwater acoustic communication systems in changeable marine environments, and generates and stores accurate sound field models by integrating real-time ocean hydrological conditions such as temperature, salinity, depth and seabed topography. Specifically, measured data can be used to verify and optimize key parameters of simulation models, such as sound velocity profiles and propagation losses, while simulation software can provide reasonable theoretical supplements for areas not covered by measured data. The two form a dynamic model generation mechanism through interactive coupling to ensure that the model can accurately reflect the actual characteristics of the marine environment. These models are key references when selecting communication links. By calculating the sound velocity gradient and propagation loss, the optimal communication link can be recommended to achieve automatic adaptation to various marine environments.

[0006] In the process of constructing the acoustic field model, the present invention adopts the sound ray theory, which is a method of predicting the behavior of sound waves by tracing their propagation path in the medium. Users need to define key environmental parameters, including sound velocity profile, water depth and seabed type, which have a direct impact on the propagation path of the sound ray. The present invention adopts the Bellhop module to calculate the sound velocity gradient map, which uses the Gaussian beam model to calculate the reflection, refraction and scattering of the sound ray in the medium, thereby predicting the propagation path of the sound wave. In addition, Bellhop also comprehensively considers factors such as geometric diffusion, medium absorption and interface reflection to calculate the propagation loss of sound waves in the medium.

[0007] The method for generating an underwater acoustic communication sound field driven by measured data provided by the present invention comprises the following steps:

[0008] S1. Import of ocean hydrological information: Collect measured ocean hydrological data, including temperature, salinity, depth and seabed topography, through sensors as supplementary input for the sound field simulation module to ensure the accuracy and real-time performance of the sound field model;

[0009] S2. Acoustic field model generation: Using the imported ocean hydrological conditions, a more realistic acoustic field model is constructed, and the sound velocity gradient map and propagation loss map are calculated;

[0010] S3, model storage and matching: the generated sound field model is stored. When encountering similar ocean hydrological conditions, the existing model can be quickly called to improve the efficiency of sound field model generation;

[0011] S4. Communication link analysis: analyze the communication link: combine the sound velocity gradient and propagation loss diagram, use the communication link performance analysis software to analyze the potential communication link, and provide data support for selecting the optimal communication link;

[0012] S5. Real-time update and feedback: As new measured data is acquired, the system will update the sound field model and link selection in real time to ensure that the system can dynamically adapt to changes in the marine environment and maintain the optimized state of the communication link.

[0013] Preferably, the generation of the sound field model in S2 adopts the sound ray theory to predict the behavior of the sound wave by tracing the propagation path of the sound wave in the medium.

[0014] Preferably, in the step of generating the sound field model, a Bellhop module is used to calculate a sound velocity gradient map, and a Gaussian beam model is used to calculate reflection, refraction and scattering of sound rays in a medium, thereby predicting a propagation path of the sound wave.

[0015] Preferably, in the model storage and matching step, the system will create a database to store the historically generated sound field models in a hierarchical file structure, including an environment description file, a basic parameter file and a simulation result file.

[0016] Preferably, in the communication link analysis step, weight parameters are set based on communication requirements, and a multi-objective optimization algorithm is used to analyze potential communication links.

[0017] Preferably, in the real-time updating and feedback step, the system will regularly feed back link performance data, and update the sound field model and link selection in real time.

[0018] Compared with the related art, the method for generating underwater acoustic communication sound field driven by measured data provided by the present invention has the following beneficial effects:

[0019] The present invention integrates real-time ocean hydrological data to supplement the sound field data in the simulation software, significantly improving the accuracy and real-time performance of the sound field model and ensuring that the model can reflect the dynamic changes of the ocean environment in a timely manner.

[0020] The present invention reduces the need for users to input complex data by automatically generating sound field models, thereby simplifying the operation process; the system improves the efficiency of model generation and accelerates the construction process of the sound field model by storing and quickly calling existing sound field models.

[0021] In addition, the present invention enhances the reliability of communication link selection by calculating the sound velocity gradient and propagation loss, providing a scientific basis for selecting the optimal communication link. Finally, the system achieves dynamic adaptability and can update the sound field model and link selection in real time as new measured data is acquired, ensuring that the communication link is always in an optimized state. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of a flow chart of a method for generating an underwater acoustic communication sound field driven by measured data provided by the present invention;

[0023] Figure 2 is the sound velocity gradient diagram in the present invention;

[0024] Figure 3 It is the propagation loss diagram in the present invention. DETAILED DESCRIPTION

[0025] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0026] The flowchart of the method for generating underwater acoustic communication sound field driven by measured data proposed by the present invention is as follows: Figure 1 As shown, the following steps are included:

[0027] S1. Import of ocean hydrological information: Import measured ocean hydrological data, including temperature, salinity, depth and seabed topography, as input to the acoustic field simulation module, supplemented by historical hydrological data from the acoustic field simulation software to cover areas where measured data is missing.

[0028] S2. Acoustic field model generation: Using the imported ocean hydrological conditions, the sound velocity and propagation loss are obtained using empirical formulas, the acoustic field model is constructed, and the sound velocity gradient map and propagation loss map are calculated.

[0029] S3, Model storage and matching: The system will create a database and store the historically generated sound field models in a hierarchical file structure, including environment description files (such as temperature, depth and salt data), basic parameter files (such as sound velocity profiles, propagation loss), and simulation result files (such as sound velocity gradient maps and propagation loss maps). When encountering similar ocean hydrological conditions, existing models can be quickly called from the database to improve the efficiency of sound field model generation.

[0030] S4. Communication link analysis: Combined with the sound velocity gradient map (such as Figure 2 ) and propagation loss diagram (as shown in Figure 3 As shown in the figure, communication link performance analysis software is used to set weight parameters based on communication requirements (such as transmission rate and reliability), and a multi-objective optimization algorithm (such as particle swarm optimization algorithm or genetic algorithm) is used to analyze potential communication links to provide data support for selecting the optimal communication link.

[0031] S5. Real-time update and feedback: As new measured data is acquired, the system will regularly feedback link performance data (such as signal-to-noise ratio, packet loss rate), and update the sound field model and link selection in real time to ensure that the system can dynamically adapt to changes in the marine environment and maintain the optimized state of the communication link.

[0032] Compared with the related art, the method for generating underwater acoustic communication sound field driven by measured data provided by the present invention has the following beneficial effects:

[0033] The present invention generates an acoustic field model in an automated manner by utilizing advanced data processing technology and real-time ocean hydrological data. Compared with conventional acoustic field generation technology, the present invention has significant advantages in that it reduces the need for users to input complex data and can more accurately reflect changes in the ocean environment, thereby providing more reliable communication link selection and signal stability prediction.

[0034] In addition, the system can store the sound field model generated each time, including the sound velocity gradient and propagation loss map, so that when encountering similar hydrological conditions, the corresponding sound field model can be quickly generated, thereby significantly improving the efficiency and adaptability of sound field generation.

[0035] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for generating underwater acoustic communication sound field driven by measured data, characterized in that: The following steps are involved: S1. Import of ocean hydrological information: Collect measured ocean hydrological data, including temperature, salinity, depth and seabed topography, through sensors as supplementary input for the sound field simulation module to ensure the accuracy and real-time performance of the sound field model; S2. Acoustic field model generation: Using the imported ocean hydrological conditions, a more realistic acoustic field model is constructed, and the sound velocity gradient map and propagation loss map are calculated; S3, model storage and matching: the generated sound field model is stored. When encountering similar ocean hydrological conditions, the existing model can be quickly called to improve the efficiency of sound field model generation; S4. Communication link analysis: analyze the communication link: combine the sound velocity gradient and propagation loss diagram, use the communication link performance analysis software to analyze the potential communication link, and provide data support for selecting the optimal communication link; S5. Real-time update and feedback: As new measured data is acquired, the system will update the sound field model and link selection in real time to ensure that the system can dynamically adapt to changes in the marine environment and maintain the optimized state of the communication link.

2. The method for generating underwater acoustic communication sound field driven by measured data according to claim 1, characterized in that: The generation of the sound field model in S2 adopts the sound ray theory to predict the behavior of the sound wave by tracing the propagation path of the sound wave in the medium.

3. The method for generating underwater acoustic communication sound field driven by measured data according to claim 1, characterized in that: In the step of generating the sound field model, a Bellhop module is used to calculate a sound velocity gradient map, and a Gaussian beam model is used to calculate reflection, refraction and scattering of sound rays in a medium, thereby predicting the propagation path of the sound wave.

4. The method for generating underwater acoustic communication sound field driven by measured data according to claim 1, characterized in that: In the model storage and matching step, the system will create a database to store the historically generated sound field models in a hierarchical file structure, including an environment description file, a basic parameter file and a simulation result file.

5. The method for generating underwater acoustic communication sound field driven by measured data according to claim 1, characterized in that: In the communication link analysis step, weight parameters are set based on communication requirements, and a multi-objective optimization algorithm is used to analyze potential communication links.

6. The method for generating underwater acoustic communication sound field driven by measured data according to claim 1, characterized in that: In the real-time update and feedback step, the system will regularly feed back link performance data and update the sound field model and link selection in real time.

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