A method and system for calculating passive sonar detection capability under the influence of the East China Kuroshio
Patent Information
- Application Number
- CN202511539297.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-27
- Publication Date
- 2026-10-23
- Estimated Expiration
- 2045-10-27
AI Technical Summary
但东海黑潮对被动声纳探测能力的影响仍有待揭示
[0014]和现有技术相比，本发明主要可起到下述有益效果：本发明东海黑潮影响下的被动声纳探测能力计算方法覆盖了现代被动声呐在典型水文条件下对安静目标的有效探测边界，克服了传播因海水层结、边界反射（海面/海底）及体积吸收等复杂因素导致的强烈空间变异性，获得的是综合表征该区域整体声纳探测能力的稳定参数，能够有效构建具有普适性的东海黑潮影响下的被动声纳探测能力特征，为东海黑潮环境下的声纳装备应用提供参考，有利于提升水下监听、通信、导航的准确度。
Smart Images
Figure CN122690560B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to passive sonar detection, specifically to a method and system for calculating passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea. Background Technology
[0002] The Kuroshio Current in the East China Sea is a powerful, high-temperature, and high-salinity ocean current flowing along the eastern edge of the East China Sea. Its unique geographical location and complex, variable hydrological characteristics significantly impact the effectiveness of underwater listening, communication, and navigation systems. Therefore, in-depth research into the Kuroshio Current's influence on passive sonar detection effectiveness is crucial for improving the accuracy of underwater listening, communication, and navigation. Existing research indicates that the Kuroshio Current significantly affects underwater sound propagation by influencing the ocean's temperature and salinity structure. The Kuroshio front affects surface sound propagation; sound energy distribution shifts as sound waves pass through the front, with energy rapidly decreasing near the surface. The intensity of the Kuroshio front is positively correlated with sound propagation, with greater changes in sound speed at higher latitudes. The sound speed structure is related to the intensity of the extended Kuroshio front; sound propagation exhibits seasonal variations, with channel axis depth increasing with front intensity, while the intensity and depth of the thermocline decrease. The acoustic convergence zone in the Kuroshio Extension is wider and farther from the sound source than in the Oyashio Extension. Under the influence of the Kuroshio, the convergence zone shifts backward when sound waves pass through eddies, and may shift forward or backward when topography obstructs sound reversal. However, the impact of the Kuroshio Current on passive sonar detection capabilities in the East China Sea remains to be fully elucidated. Traditional assessment methods based on physical models of sound propagation, combined with real marine environmental parameters (water temperature, salinity, depth, seabed sediment and topography, etc.), use sound field models (such as Bellhop) to accurately calculate the sound wave propagation loss between the target and the sonar to evaluate passive sonar detection capabilities. However, the assessment results need to be recalculated when the sonar or target moves, and are easily affected by strong spatial variability caused by complex factors such as seawater stratification, boundary reflection (sea surface / seabed), and volume absorption, thus having significant limitations. Summary of the Invention
[0003] The technical problem to be solved by this invention is to provide a method and system for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea, in order to address the above-mentioned problems in the prior art. This invention aims to construct a universally applicable passive sonar detection capability characteristic under the influence of the Kuroshio Current in the East China Sea, and to provide a reference for the application of sonar equipment in the Kuroshio Current environment.
[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea includes the following steps: S1, select a cross section that spans the Kuroshio Current in the East China Sea. S2, calculate the sound velocity field on the selected cross section for different months; S3. Using the Bellhop acoustic toolbox, the sound propagation loss is calculated at each position on the selected cross section to obtain the sound propagation loss of the sound wave at different positions under the sound velocity field in different months. S4, based on the selected positions on the cross-section The sound propagation loss under sound velocity fields in different months was measured to obtain the passive sonar at different positions from the start to the end on a selected cross section. Passive sonar detection capabilities in different months ; S5, for different positions from the start to the end on the selected cross-section. Draw the positions respectively Passive sonar detection capabilities in different months Overlay plots of curves and seabed topography are used to analyze the impact of seabed topography on passive sonar detection capabilities. The resulting impact; on this location Passive sonar detection capabilities in different months The difference between the sound velocity field and the relative value superposition plot were used to analyze the impact of the Kuroshio Current in the East China Sea on the passive sonar detection capability. The resulting impact.
[0005] Optionally, when calculating the sound velocity field of different months on the selected cross section in step S2, calculating the sound velocity field of any month on the selected cross section includes: obtaining the temperature, salinity and depth data of that month on the selected cross section, and calculating the sound velocity field of that month using the Mackenzie empirical formula for sound velocity based on the temperature, salinity and depth data.
[0006] Optionally, the functional expression of the Mackenzie empirical formula for the speed of sound is: ; in, Indicates the speed of sound. Indicates temperature. Indicates salinity. Indicates depth.
[0007] Optionally, in step S3, when using the Bellhop acoustic toolbox to calculate the sound propagation loss at each position on the selected cross-section, this includes setting the target depth and radiated sound wave frequency, and determining different positions at set intervals based on the target's depth on the selected cross-section as it moves from the starting point to the ending point. For each position Calculation using the Bellhop Acoustics Toolbox , A set of different distances within the range He Haishen Sound propagation loss ,in and These are the horizontal distance threshold and the vertical distance threshold, respectively.
[0008] Optionally, in step S4, the passive sonar is acquired at different positions from the start to the end on the selected cross-section. Passive sonar detection capabilities in different months This includes for each position during the movement from the starting point to the ending point on a selected cross-section. Each month has a different set of horizontal distances. and vertical distance Sound propagation loss Calculate the average to obtain the position. Passive sonar detection capability for that month .
[0009] Optionally, the location is drawn in step S5. Passive sonar detection capabilities in different months Overlay plots of curves and seabed topography are used to analyze the impact of seabed topography on passive sonar detection capabilities. When the effect occurs, this location Passive sonar detection capability for each month The overlay map of curves and seabed topography includes three dimensions: distance, depth, and sonar detection capability. The size of the seabed topography is represented by two dimensions: distance and depth, and passive sonar detection capability. The magnitude is represented by one dimension: sonar detection capability; the analysis of seabed topography affects passive sonar detection capability. The resulting impacts include dividing the seabed topography into continental shelf areas, deep-sea areas, and submarine mountain areas based on ocean depth, and determining the passive sonar detection capabilities of each of these areas. Size and variation characteristics.
[0010] Optionally, in step S5, the location... Passive sonar detection capabilities in different months The difference between the sound velocity field and the relative value superposition plot were used to analyze the impact of the Kuroshio Current in the East China Sea on the passive sonar detection capability. When the effect is produced, the position is obtained. Passive sonar detection capabilities in different months The overlay map of relative values of the sound speed field includes three dimensions: distance, ocean depth, and sonar detection capability, showing the passive sonar detection capability for different months. The relative value of passive sonar detection capability obtained by subtraction is represented by one dimension of sonar detection capability, and the relative value of sound velocity field obtained by subtraction of sound velocity field in different months is used as background contour line.
[0011] The present invention also provides a passive sonar detection capability calculation system under the influence of the Kuroshio Current in the East China Sea, including a microprocessor and a memory connected to each other, wherein the microprocessor is programmed or configured to execute the passive sonar detection capability calculation method under the influence of the Kuroshio Current in the East China Sea.
[0012] The present invention also provides a computer-readable storage medium storing a computer program or instructions that are programmed or configured to execute, via a processor, the method for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea.
[0013] The present invention also provides a computer program product, including a computer program or instructions, which are programmed or configured to execute, via a processor, the method for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea.
[0014] Compared with existing technologies, the present invention mainly has the following beneficial effects: The passive sonar detection capability calculation method under the influence of the Kuroshio Current in the East China Sea covers the effective detection boundary of modern passive sonar for quiet targets under typical hydrological conditions. It overcomes the strong spatial variability caused by complex factors such as seawater stratification, boundary reflection (sea surface / seabed) and volume absorption. The method obtains stable parameters that comprehensively characterize the overall sonar detection capability of the region. It can effectively construct universal passive sonar detection capability characteristics under the influence of the Kuroshio Current in the East China Sea, providing a reference for the application of sonar equipment in the Kuroshio Current environment in the East China Sea, and is conducive to improving the accuracy of underwater listening, communication and navigation. Attached Figure Description
[0015] Figure 1 This is a flowchart illustrating the method of an embodiment of the present invention.
[0016] Figure 2 This is a selected cross section and its seabed topographic map in an embodiment of the present invention.
[0017] Figure 3 This is a January sound velocity field diagram of a selected section in an embodiment of the present invention.
[0018] Figure 4 This is a superimposed image of passive sonar detection capabilities and seabed topography at various locations on a selected section in January, as shown in this embodiment of the invention.
[0019] Figure 5 This is a superimposed image of the difference in passive sonar detection capability and sound velocity field between April and July on a selected cross section in this embodiment of the invention. Detailed Implementation
[0020] To enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be further described in detail below with reference to the accompanying drawings in the embodiments of the present invention.
[0021] like Figure 1 As shown, the method for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea in this embodiment includes the following steps: S1, select a cross section that spans the Kuroshio Current in the East China Sea. S2, calculate the sound velocity field on the selected cross section for different months; S3. Using the Bellhop acoustic toolbox, the sound propagation loss is calculated at each position on the selected cross section to obtain the sound propagation loss of the sound wave at different positions under the sound velocity field in different months. S4, based on the selected positions on the cross-section The sound propagation loss under sound velocity fields in different months was measured to obtain the passive sonar at different positions from the start to the end on a selected cross section. Passive sonar detection capabilities in different months ; S5, for different positions from the start to the end on the selected cross-section. Draw the positions respectively Passive sonar detection capabilities in different months Overlay plots of curves and seabed topography are used to analyze the impact of seabed topography on passive sonar detection capabilities. The resulting impact; on this location Passive sonar detection capabilities in different months The difference between the sound velocity field and the relative value superposition plot were used to analyze the impact of the Kuroshio Current in the East China Sea on the passive sonar detection capability. The resulting impact.
[0022] As an optional implementation, in step S1 of this embodiment, a cross-section spanning the Kuroshio Current in the East China Sea is selected, specifically from 124.5°E, 27°N to 126.42°E, 24°N, diagonally crossing the Kuroshio Current and flowing through the Miyako Strait, such as... Figure 2 As shown, Figure 2 It also displays a seabed topographic map of a selected section.
[0023] In step S2 of this embodiment, when calculating the sound velocity field for different months on the selected cross section, calculating the sound velocity field for any month on the selected cross section includes: acquiring the temperature, salinity, and depth data for that month on the selected cross section, and calculating the sound velocity field for that month using the Mackenzie empirical formula for sound velocity. As an optional implementation, in this embodiment, the temperature, salinity, and depth data for that month on the selected cross section includes selecting the Global Ocean Physics Analysis and Forecast dataset and the ETOPO Global Relief Model dataset, and averaging the monthly average temperature, salinity, and depth data and seafloor topography parameters from 123°E to 128°E and 24°N to 28°N for 2023 to 2024, obtaining temperature, salinity, and depth data (temperature, salinity, and depth data) for January to December.
[0024] Based on temperature, salinity, and depth data, the sound velocity field along the path for different months can be calculated using the Mackenzie empirical formula. The original sound velocity field is interpolated to obtain the vertical interval (which can be set as needed, for example, 10m in this embodiment), covering the sound velocity field from the sea surface to the seabed. The full-depth sound velocity field is then interpolated to obtain the horizontal interval (which can be set as needed, for example, 100m in this embodiment), covering the entire path of the selected cross-section. The functional expression of the Mackenzie empirical formula is as follows: ; in, Indicates the speed of sound. Indicates temperature. Indicates salinity. This indicates depth. Ultimately, based on the temperature, salinity, and depth data from January to December, the sound velocity profile results for the selected section from January to December can be obtained. For example, the sound velocity field map for the selected section in January obtained in this embodiment is as follows: Figure 3 As shown.
[0025] In step S3 of this embodiment, when calculating the sound propagation loss at each position on the selected cross-section using the Bellhop acoustic toolbox, the following steps are taken: setting the target depth and the radiated sound wave frequency. In this embodiment, the target depth is set to 50m and the radiated sound wave frequency to 1000Hz. Based on the target's depth on the selected cross-section, different positions are determined at set intervals (which can be set as needed, for example, 100m in this embodiment) as the target moves from the starting point to the ending point. For each position Calculation using the Bellhop Acoustics Toolbox , A set of different distances within the range He Haishen Sound propagation loss ,in and These are the horizontal distance threshold and the vertical distance threshold, respectively, and their values can be selected according to actual needs, such as in this embodiment. and They are respectively and , , The range is: (Unit: km) (Unit: m). Calculate a set of data at each corresponding location every 100 m. By calculating the sound propagation loss within the horizontal range of 0-10km and the vertical range of 0-300m, a set of data for different distances can be obtained. He Haishen Sound propagation loss .
[0026] In step S4 of this embodiment, the passive sonar is acquired at different positions from the start to the end on the selected cross-section. Passive sonar detection capabilities in different months This includes for each position during the movement from the starting point to the ending point on a selected cross-section. Each month has a different set of horizontal distances. and vertical distance Sound propagation loss Calculate the average to obtain the position. Passive sonar detection capability for that month .
[0027] In step S5 of this embodiment, the position is drawn respectively. Passive sonar detection capabilities in different months Overlay plots of curves and seabed topography are used to analyze the impact of seabed topography on passive sonar detection capabilities. When the effect occurs, this location Passive sonar detection capability for each month The overlay map of curves and seabed topography includes three dimensions: distance, depth, and sonar detection capability. The size of the seabed topography is represented by two dimensions: distance and depth, and passive sonar detection capability. The size is represented by one dimension: sonar detection capability, such as a certain location. Passive sonar detection capability in January The superimposed diagram of the curves and seabed topography is as follows: Figure 4 As shown, this can be used to analyze the impact of terrain on passive sonar detection capabilities. Figure 4 The solid line in the middle represents the passive sonar detection capability. The larger the value, the smaller the detection capability; the dashed line represents the seabed topography.
[0028] In step S5 of this embodiment, the influence of seabed topography on passive sonar detection capabilities is analyzed. The resulting impacts include dividing the seabed topography into continental shelf areas, deep-sea areas, and submarine mountain areas based on ocean depth, and determining the passive sonar detection capabilities of each of these areas. The size and variation characteristics. With Figure 4 Taking the January results shown as an example, when the passive sonar is located in the continental shelf area (0~100 km), its passive sonar detection capability... The dramatic fluctuations are due to the shallow waters of the continental shelf region, the complex sound propagation characteristics in shallow waters, and the significant variations in sound energy with distance, which limits the detection capabilities of passive sonar. It is closely related to the distribution of sound energy. Upon entering the deep sea (100-200 km), some sound energy propagates to the seabed, reducing the sound energy in shallow waters, thus decreasing the detection capability of passive sonar. The acoustic energy of the target weakens when encountering a submarine mountain (200-350 km). It is reflected back into the surface water, reducing the effectiveness of passive sonar. Enhanced passive sonar detection capabilities due to underwater mountains Fluctuations can reach 10 dB. The curve trends in other months are generally consistent with those in January.
[0029] In step S5 of this embodiment, the position is... Passive sonar detection capabilities in different months The difference between the sound velocity field and the relative value superposition plot were used to analyze the impact of the Kuroshio Current in the East China Sea on the passive sonar detection capability. When the effect is produced, the position is obtained. Passive sonar detection capabilities in different months The overlay map of relative values of the sound speed field includes three dimensions: distance, ocean depth, and sonar detection capability, showing the passive sonar detection capability for different months. The relative value of passive sonar detection capability obtained by subtraction is represented by one dimension of sonar detection capability. The relative value of sound velocity field obtained by subtracting the sound velocity fields of different months is used as background contour lines. In step S5 of this embodiment, when analyzing the impact of the Kuroshio Current in the East China Sea on passive sonar detection capability, the passive sonar detection capability indexes are obtained for April when the Kuroshio Current is strong (with closed moderate sound velocity lines in the surface water) and July when the Kuroshio Current is weak (with a more uniform horizontal distribution of sound velocity in the surface water). The result obtained by subtracting the sound velocity field and removing the influence of seabed topography is as follows. Figure 5 As shown, Figure 5 The middle curve represents the passive sonar detection capability in April and July. The relative value of passive sonar detection capability is obtained by subtracting the values. The background contour lines represent the relative values of sound speed fields obtained by subtracting the values of sound speed fields in April and July. See also Figure 5 It is evident that there is a distinct warm water region along the Kuroshio Current axis in the East China Sea at a distance of 100 km to 200 km, within which passive sonar detection capability is relatively high. However, the passive sonar detection capability is relatively weak in the cold water region at the edge of the Kuroshio Current in the East China Sea at a distance of 200 km to 300 km, with a difference of approximately 2 dB.
[0030] In summary, the method of this embodiment includes selecting a cross section spanning the Kuroshio Current in the East China Sea; loading a dataset of temperature, salinity, depth, and seabed topography; calculating the sound velocity field on the selected cross section for different months based on temperature, salinity, and depth using the Mackenzie empirical formula for sound velocity; using the Bellhop acoustic toolbox to calculate the sound propagation loss at each position on the selected cross section, obtaining the sound propagation loss at different positions under the sound velocity field in different months; calculating the detection capability of passive sonar at different positions based on the obtained sound propagation loss, and analyzing the impact of topography on the detection capability of passive sonar; and calculating the difference between the passive sonar detection capabilities in the Kuroshio Current in the East China Sea for different months, analyzing the impact of the Kuroshio Current on the detection capability of passive sonar. The method in this embodiment covers the effective detection boundary of modern passive sonar for quiet targets under typical hydrological conditions. It overcomes the strong spatial variability caused by complex factors such as seawater stratification, boundary reflection (sea surface / seabed), and volume absorption. The method obtains stable parameters that comprehensively characterize the overall sonar detection capability of the region. It can effectively construct universal passive sonar detection capability characteristics under the influence of the Kuroshio Current in the East China Sea, providing a reference for the application of sonar equipment in the Kuroshio Current environment in the East China Sea, and is conducive to improving the accuracy of underwater listening, communication, and navigation.
[0031] Furthermore, this embodiment also provides a passive sonar detection capability calculation system under the influence of the Kuroshio Current in the East China Sea, including a microprocessor and a memory interconnected, wherein the microprocessor is programmed or configured to execute the passive sonar detection capability calculation method under the influence of the Kuroshio Current. This embodiment also provides a computer-readable storage medium storing a computer program or instructions, which is programmed or configured to execute the passive sonar detection capability calculation method under the influence of the Kuroshio Current via a processor. This embodiment also provides a computer program product, including a computer program or instructions, which is programmed or configured to execute the passive sonar detection capability calculation method under the influence of the Kuroshio Current via a processor.
[0032] Those skilled in the art will understand that the technical solutions provided by this invention may take the form of a method, system, or computer program product. Therefore, this invention may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this invention may take the form of a computer program product embodied on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, produce an implementation of the flowchart... Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0033] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.
Claims
1. A method for calculating the passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea, characterized in that, Includes the following steps: S1, select a cross section that spans the Kuroshio Current in the East China Sea. S2, calculate the sound velocity field on the selected cross section for different months; S3. Using the Bellhop acoustic toolbox, the sound propagation loss is calculated at each position on the selected cross section to obtain the sound propagation loss of the sound wave at different positions under the sound velocity field in different months. S4, based on the selected positions on the cross-section The sound propagation loss under sound velocity fields in different months was measured to obtain the passive sonar at different positions from the start to the end on a selected cross-section. Passive sonar detection capabilities in different months This includes: for each position during the movement from the starting point to the ending point on a selected cross-section. Each month has a different set of horizontal distances. and vertical distance Sound propagation loss Calculate the average to obtain the position. Passive sonar detection capability for that month ; S5, for different positions from the start to the end on the selected cross-section. Draw the positions respectively Passive sonar detection capabilities in different months Overlay plots of curves and seabed topography are used to analyze the impact of seabed topography on passive sonar detection capabilities. The impact, location Passive sonar detection capability for each month The overlay map of curves and seabed topography includes three dimensions: distance, depth, and sonar detection capability. The size of the seabed topography is represented by two dimensions: distance and depth, and passive sonar detection capability. The magnitude is represented by one dimension: sonar detection capability; the analysis of seabed topography affects passive sonar detection capability. The resulting impacts include dividing the seabed topography into continental shelf areas, deep-sea areas, and submarine mountain areas based on ocean depth, and determining the passive sonar detection capabilities of each of these areas. Size and variation characteristics; for this location Passive sonar detection capabilities in different months The difference between the sound velocity field and the relative value superposition plot were used to analyze the impact of the Kuroshio Current in the East China Sea on the passive sonar detection capability. The resulting effect, the obtained position Passive sonar detection capabilities in different months The overlay map of relative values of the sound speed field includes three dimensions: distance, ocean depth, and sonar detection capability, showing the passive sonar detection capability for different months. The relative value of passive sonar detection capability obtained by subtraction is represented by one dimension of sonar detection capability, and the relative value of sound velocity field obtained by subtraction of sound velocity field in different months is used as background contour line.
2. The method for calculating passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea according to claim 1, characterized in that, In step S2, when calculating the sound velocity field of different months on the selected cross section, the calculation of the sound velocity field of any month on the selected cross section includes: obtaining the temperature, salinity and depth data of that month on the selected cross section, and calculating the sound velocity field of that month using the Mackenzie empirical formula for sound velocity based on the temperature, salinity and depth data.
3. The method for calculating passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea according to claim 2, characterized in that, The functional expression of the empirical formula for the speed of sound in Mackenzie is: in, Indicates the speed of sound. Indicates temperature. Indicates salinity. Indicates depth.
4. The method for calculating passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea according to claim 1, characterized in that, In step S3, when using the Bellhop acoustic toolbox to calculate the sound propagation loss at each position on the selected cross-section, this includes setting the target depth and radiated sound wave frequency, and determining different positions at set intervals based on the target's depth on the selected cross-section as it moves from the starting point to the ending point. For each position Calculation using the Bellhop Acoustics Toolbox , A set of different distances within the range He Haishen Sound propagation loss ,in and These are the horizontal distance threshold and the vertical distance threshold, respectively.
5. A calculation system for passive sonar detection capability under the influence of the Kuroshio Current in the East China Sea, comprising a microprocessor and a memory interconnected, characterized in that, The microprocessor is programmed or configured to execute the passive sonar detection capability calculation method under the influence of the Kuroshio Current in the East China Sea as described in any one of claims 1 to 4.
6. A computer-readable storage medium storing a computer program or instructions, characterized in that, The computer program or instructions are programmed or configured to execute, via a processor, the passive sonar detection capability calculation method under the influence of the Kuroshio Current in the East China Sea as described in any one of claims 1 to 4.
7. A computer program product, comprising a computer program or instructions, characterized in that, The computer program or instructions are programmed or configured to execute, via a processor, the passive sonar detection capability calculation method under the influence of the Kuroshio Current in the East China Sea as described in any one of claims 1 to 4.