Ocean channel measurement method and device based on ocean dynamic darkroom

Abstract

The invention provides an ocean channel measurement method and device based on an ocean dynamic darkroom, and belongs to the field of ocean communication. The method comprises the following steps: monitoring a first geometric feature of sea level waves of a target sea area; parameters of a wave making device are adjusted in the ocean power darkroom according to the row direction of the first geometric feature, simulated sea waves at all time points are generated, and the communication environment of the target sea area is simulated; in the simulated communication environment of the target sea area, performing a communication test by using a sending device and a receiving device; processing the test signal received by the receiving device, and analyzing the relationship between the processed signal and the simulated wave of the target sea area; and establishing a propagation model of the test signal in the target sea area based on the relationship. According to the ocean channel measurement method and system based on the ocean dynamic darkroom provided by the invention, the ocean communication measurement data can be comprehensively, accurately and controllably acquired.

Description

Technical Field

[0001] This application relates to the field of marine communication technologies, and particularly to a method and device for measuring marine channels based on a marine dynamic anechoic chamber. Background Art

[0002] In the field of marine communication, measuring marine channels is crucial for ensuring the stability and reliability of maritime communication. With the increasing frequency of marine resource development activities, such as offshore oil exploration, marine scientific research, and ocean transportation, the demand for maritime communication is continuously growing, and the requirements for communication quality and efficiency are becoming increasingly stringent. The marine environment is complex and variable, and its unique geographical and meteorological conditions pose many challenges to maritime communication. The marine dynamic environments in different sea areas vary greatly, including changes in factors such as wind speed, wave height, and ocean current, which will significantly affect the propagation of signals. However, the current understanding of marine channels is still not deep enough, and there is a lack of comprehensive and accurate measurement data, which restricts the further development of maritime communication technologies.

[0003] Currently, in terms of measuring marine channels, the main technical means used include conducting on-site measurements using marine observation platforms and obtaining marine environment information by means of satellite remote sensing technology. Although on-site measurements can obtain relatively real data, they are extremely limited by the marine environment, with high measurement costs and risks. At the same time, the measurement range is limited, making it difficult to comprehensively cover different sea areas and complex sea conditions. Although satellite remote sensing technology can obtain large-area marine information, there are deficiencies in measurement accuracy. It is difficult to accurately capture changes in marine dynamic environments at some small scales, and it is unable to directly measure the propagation characteristics of communication signals in the marine environment.

[0004] Both on-site measurements and satellite remote sensing technology are difficult to achieve precise synchronous measurement of marine environment data and wireless channel data. This makes it difficult for researchers to deeply analyze the internal relationship between marine environment factors and communication channel characteristics and unable to establish an accurate marine propagation model. Existing measurement technologies cannot effectively simulate complex and variable marine environments, and it is difficult to reproduce real marine dynamic conditions in the laboratory, resulting in limitations in the research on the performance of communication in different marine environments and unable to provide strong support for the optimization of maritime communication systems. Summary of the Invention

[0005] In view of this, this application provides a method and system for measuring marine channels based on a marine dynamic anechoic chamber, which can comprehensively, accurately, and controllably obtain maritime communication measurement data.

[0006] Specifically, this application is implemented through the following technical solutions: The first aspect of this application provides a method for measuring marine channels based on a marine dynamic anechoic chamber, and the method includes: Monitor the first geometric feature of the sea level waves in the target sea area, where the first geometric feature is a two-dimensional matrix, and the two-dimensional matrix includes the geometric feature in the time dimension in the row direction and the geometric feature in the position latitude in the column direction; Adjust the parameters of the wave-making device in the ocean dynamic darkroom according to the row direction of the first geometric feature to generate simulated sea waves at each time point, and simulate the communication environment of the target sea area; In the simulated communication environment of the target sea area, use the transmitting device and the receiving device to conduct communication tests; both the communication device and the wave-making device are arranged in the ocean dynamic darkroom, and the tests include: the transmitting device sends a test signal to the receiving device according to the target communication band; the receiving device receives part of the test signals; the absorbing material on the inner surface of the ocean dynamic darkroom absorbs other signals except those received by the receiving device; Process the test signals received by the receiving device, and analyze the relationship between the processed signals and the simulated waves in the target sea area. The relationship includes the relationship between the received test signals and the simulated waves at each time point and different positions; Based on the relationship, establish a propagation model of the test signal in the target sea area.

[0007] The second aspect of this application provides an ocean channel measurement device based on an ocean dynamic darkroom. The device includes a monitoring module, a simulation module, a test module, a processing module, and an establishment module; Among them, the monitoring module is used to monitor the first geometric feature of the sea level waves in the target sea area. The first geometric feature is a two-dimensional matrix, and the two-dimensional matrix includes the geometric feature in the time dimension in the row direction and the geometric feature in the position latitude in the column direction; The simulation module is used to adjust the parameters of the wave-making device in the ocean dynamic darkroom according to the row direction of the first geometric feature to generate simulated sea waves at each time point, and simulate the communication environment of the target sea area; The test module is used to conduct communication tests using the transmitting device and the receiving device in the simulated communication environment of the target sea area. Both the communication device and the wave-making device are arranged in the ocean dynamic darkroom, and the tests include: the transmitting device sends a test signal to the receiving device according to the target communication band; the receiving device receives part of the test signals; the absorbing material on the inner surface of the ocean dynamic darkroom absorbs other signals except those received by the receiving device; The processing module is used to process the test signals received by the receiving device, and analyze the relationship between the processed signals and the simulated waves in the target sea area. The relationship includes the relationship between the received test signals and the simulated waves at each time point and different positions; The establishment module is used to establish a propagation model of the test signal in the target sea area based on the relationship.

[0008] The marine channel measurement method and device based on a marine dynamic darkroom provided by this application monitor the first geometric characteristics of sea surface waves in the target sea area, and adjust the parameters of the wave-making device according to these characteristics to generate simulated sea waves in the marine dynamic darkroom, highly restoring the communication environment in the target sea area. This enables accurate simulation of wave conditions at different time points and positions in the laboratory, overcoming the problem that traditional measurement techniques are difficult to simulate complex marine environments, and helping researchers deeply explore the influence mechanism of the marine environment on communication signals. When conducting communication tests in the simulated communication environment of the target sea area, transmitting and receiving devices are used to collect test signals. At the same time, the inner wall surface of the darkroom is used to absorb signals scattered and refracted in other directions, and signal monitoring points are set at multiple positions on the inner wall of the darkroom to collect reflected signals at different angles and intensities. This not only ensures that the receiving device can receive pure signals rather than other clutter signals, but also collects reflected signals at different angles and intensities for subsequent in-depth analysis of reflection characteristics. In this way, communication signal data under different wave conditions can be obtained, providing comprehensive and rich data to support subsequent research. In addition, the test signals received by the receiving device are processed to analyze their relationship with the simulated waves, which can effectively identify and remove interference signals. By constructing a three-dimensional model to simulate the signal propagation path, the interference sources are determined and eliminated, making the processed signals more accurately reflect the real communication situation and improving the accuracy and reliability of communication signal analysis. The method provided by this application provides comprehensive, accurate, and controllable measurement data for marine communication research, helping to deeply analyze the internal relationship between marine environmental factors and communication channel characteristics. Description of the Drawings

[0009] Figure 1 It is a flowchart of the first embodiment of the marine channel measurement method based on a marine dynamic darkroom provided by this application; Figure 2 It is a schematic structural diagram of the second embodiment of the marine channel measurement device based on a marine dynamic darkroom provided by this application. Detailed Embodiments

[0010] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0011] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a", "the", and "said" used in this application are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0012] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to a determination".

[0013] Specific embodiments are given below to introduce the technical solutions of this application in detail.

[0014] Embodiment 1

[0015] Figure 1 This is a flowchart of Embodiment 1 of the method for measuring ocean channels based on an ocean dynamic darkroom provided by this application. Please refer to Figure 1 , the method provided in this embodiment may include: S101. Monitor the first geometric feature of the sea surface waves in the target sea area, where the first geometric feature is a two-dimensional matrix, and the two-dimensional matrix includes the geometric feature in the time dimension of the row direction and the geometric feature in the position latitude of the column direction.

[0016] It should be noted that monitoring the first geometric feature of the sea surface waves in the target sea area is to obtain some key information of the ocean dynamic environment and provide basic data support for subsequent accurate simulation of the ocean environment, carrying out communication tests, analyzing the relationship between signals and waves, and establishing propagation models. Among them, the time dimension information in the first geometric feature can reflect the change trend of waves over time, and the position dimension information can determine the difference in wave characteristics at different positions.

[0017] Specifically, the establishment process of the first geometric feature includes: (1) Taking the center point of the target sea area as the origin and the sea surface of the target sea area as the reference object, establish the space coordinate system of the target sea area.

[0018] It should be noted that by determining the origin and the reference plane, a unified spatial reference is provided for measuring the changes in waves at different positions and times, making the description of wave characteristics have a clear spatial orientation. For example, when measuring the waves in a specific sea area, the central position of this sea area is set as the coordinate origin (0, 0, 0), and it is stipulated that the due east direction is the positive direction of the x-axis, the due north direction is the positive direction of the y-axis, and the direction perpendicular to the sea level upward is the positive direction of the z-axis. In this way, all the wave information obtained from subsequent measurements can find corresponding positions in this coordinate system, facilitating systematic analysis and processing.

[0019] (2) Detect the wave change information of each position coordinate in the spatial coordinate system.

[0020] In the established spatial coordinate system, a variety of advanced monitoring devices and technologies are used to detect the wave change information of each position coordinate. These devices and technologies include, but are not limited to, wave height sensors, laser rangefinders, video monitoring systems, etc. installed at different positions. The wave height sensor can obtain the real-time height change data of the waves, and the laser rangefinder can accurately measure the distance between specific points on the wave surface and the measuring device, thereby assisting in determining the shape and position changes of the waves; the video monitoring system can record the dynamic images of the waves and comprehensively capture the motion characteristics of the waves from multiple angles. Through these devices and technologies, rich wave change information can be obtained, such as the changes in wave height, period, propagation speed, waveform, etc. over time.

[0021] Specifically, there are two dimensions of wave changes. One is the wave changes at different time points at the same position, and the other is the wave changes at the same time point at different positions. In order to obtain the change rules of waves over time and position, detection means are used to detect the wave conditions in the target sea area, and the change trends of the wave forms over time and position are obtained.

[0022] (3) Based on the wave change information, extract the change trend of the wave geometric characteristics over time at the position coordinates, and obtain a plurality of one-dimensional first wave data, where each first wave data represents the wave geometric characteristics at each time point at a position coordinate.

[0023] It should be noted that the collected wave change information is deeply analyzed and processed to extract the change trend of the wave geometric characteristics over time at each position coordinate. The wave geometric characteristics mainly include wave crest height, wave trough depth, wavelength, etc. Taking the wave crest height as an example, by analyzing the data of the wave height sensor, the height values of the wave crest at different time points are determined, and then the change trend of the wave crest height over time, such as whether it gradually increases, decreases, or remains stable, is observed. For the wavelength, combining the data of the laser rangefinder and the video monitoring system, the distance between adjacent wave crests or wave troughs is measured, and its change law over time is analyzed. Through the analysis of the change trend of these geometric characteristics over time, multiple one-dimensional first wave data are obtained. Each one-dimensional first wave data is an ordered set of the wave geometric characteristics at each time point under a position coordinate, which completely records the change of the wave at this position in the time dimension.

[0024] (4) Taking the first wave data as rows, arrange each of the first wave data in the order of the position coordinates corresponding to the first wave data to obtain the first geometric feature.

[0025] Taking the obtained first wave data as rows, arrange them in the order of the position coordinates corresponding to these data. When arranging, strictly follow the position order in the spatial coordinate system, such as from the negative direction to the positive direction of the x-axis, from the negative direction to the positive direction of the y-axis, etc. After such arrangement, a two-dimensional matrix is formed, that is, the first geometric feature. This two-dimensional matrix integrates the information of the wave in both the time and space dimensions, and can intuitively display the change of the wave geometric characteristics at different times at different positions in the target sea area, providing a key data basis for subsequent simulation of the ocean environment, communication testing, and establishment of propagation models.

[0026] In addition, in specific implementation, extracting the change trend of the wave geometric characteristics over time based on the wave change information includes: (1) At any moment, obtain the image information of the wave.

[0027] It should be noted that in the target sea area, high-definition cameras installed at different positions and heights, camera equipment carried by drones, etc. are used to collect wave images. These devices constitute an image acquisition system, in which these devices are calibrated to correspond to the established spatial coordinate system to ensure that the acquired image information can accurately reflect the position and shape of the waves in the coordinate system. During the acquisition process, the appropriate frame rate is set according to actual needs. For example, in areas where the waves change more violently, the frame rate is increased to 30 frames per second or even higher to capture the instantaneous changes of the waves; in relatively stable areas, the frame rate can be appropriately reduced to about 15 frames per second to balance the amount of data and information integrity. The acquisition equipment also has different shooting modes, such as panoramic shooting for obtaining the overall shape of large-area waves, and close-up shooting for observing local wave details.

[0028] (2) Detecting the boundary of the wave based on the image information.

[0029] Advanced image recognition algorithms are used to process the acquired image information. First, the color image is converted into a grayscale image to reduce image complexity and improve processing efficiency. Next, an edge detection algorithm, such as the Canny edge detection algorithm, is used to identify areas with significant changes in grayscale values ​​by calculating the gradient strength and direction of pixels in the image, thereby determining the edge of the wave. During the detection process, the algorithm parameters are optimized according to the characteristics of the wave image, such as adjusting the threshold range, to accurately extract the wave boundary and avoid misjudging noise or other interference factors as wave boundaries.

[0030] (3) Determine the peak coordinates and the wave width at the midpoint of the wave in the spatial coordinate system based on the boundary of the wave.

[0031] After the wave boundary is detected, the boundary information is analyzed. By searching the pixel points on the boundary, the points with the maximum (corresponding to the wave crest) and the minimum (corresponding to the wave trough) vertical coordinates are found. The coordinates of these points in the spatial coordinate system are the peak coordinates of the wave. To determine the wave width at the midpoint, first calculate the vertical distance between the wave crest and the wave trough, divide it by 2 to get the midpoint vertical coordinate, and then search for the two intersection points of the wave boundary on the horizontal line of the vertical coordinate. The difference between the horizontal coordinates of these two intersection points in the spatial coordinate system is the wave width at the midpoint. For example, in the calculation process, considering the discreteness of the image pixels, an interpolation algorithm can be used to accurately calculate the coordinates to improve the measurement accuracy.

[0032] (4) Determine the detection period of the image information of the next wave based on the change trend of the peak coordinates of the wave at the current moment and the previous moment.

[0033] It should be noted that environmental factors affecting waves such as wind direction and wind speed can be monitored in real time using devices such as anemometers and wind vanes. At the same time, by combining ocean current field monitoring data, tidal data, etc., the current ocean environmental conditions can be comprehensively understood. Furthermore, the wave geometric feature data at the first n time points (n is determined according to the stability of wave changes and the amount of data, generally taking values between 5 and 10) are selected, such as wave crest height, the position of the wave crest in the spatial coordinate system, etc. Methods such as polynomial fitting or spline curve fitting are used to fit the wave peak change curve according to the current real-time environmental factors. For example, when the wind speed is relatively high and the wind direction is stable, the wave peak may show a linear growth trend, and in this case, a first-degree polynomial fitting can be used; if the wave changes are more complex, a spline curve fitting is used to better approximate the actual changes.

[0034] Furthermore, the wave peak change curve obtained by fitting is compared and analyzed with the current change trend. Through features such as the slope and curvature of the curve, the position of the next peak coordinate point is predicted. For example, if the slope of the curve gradually increases, it indicates that the wave peak is rising and the rising speed is accelerating, and based on this, the height of the next peak and its position in the spatial coordinate system are predicted. And after that, according to the predicted next peak coordinate point, combined with the wave propagation speed (which can be obtained through previous image analysis or other measurement means), the time when the peak reaches a specific position is calculated, so as to determine the image information detection time of the next wave. For example, given that the wave propagation speed is v and the distance from the predicted peak to the current monitoring point is d, then the detection time t = d / v.

[0035] Finally, after completing the next wave image information detection, according to the actually detected peak coordinates and geometric features, the previously fitted wave peak change curve is corrected. Calculate the deviation between the actual peak and the predicted peak, and by adjusting the parameters of the fitting curve, make the curve closer to the real wave change situation.

[0036] (5)Return the step of obtaining the image information of the wave according to the detection period.

[0037] It should be noted that according to the determined detection period, the step of obtaining the wave image information is returned, and the monitoring and analysis of the wave geometric features are continuously carried out. By continuously cycling this process, the dynamic tracking of the change trend of the wave geometric features over time is realized, providing accurate and real-time data support for subsequent simulation of the ocean environment, communication testing, and establishment of a propagation model.

[0038] S102. Adjust the parameters of the wave-making device in the ocean dynamic darkroom according to the row direction of the first geometric feature to generate simulated sea waves at each time point, simulating the communication environment of the target sea area.

[0039] Among them, each of the simulated ocean waves includes multiple simulated ocean waves at the same moment at various position points, with the same wave geometric characteristics as those at each position in the direction of the columns of the first matrix.

[0040] It should be noted that after obtaining the first geometric characteristics, the parameters of the wave-making device are adjusted in the ocean dynamic darkroom according to the row direction of the first geometric characteristics. This is because adjusting the parameters of the wave-making device in the row direction can make the generated simulated ocean waves change in time consistent with the actual wave changes in the target sea area. For example, a certain row of data in the first geometric characteristics records the process in which the wave height at a certain position in a certain sea area gradually increases from 0.5 meters to 1 meter and then slowly decreases to 0.8 meters within a certain period of time. Adjusting the wave-making device according to this row of data can make the wave-making device in the darkroom simulate the same change of wave height over time, so as to truly restore the wave conditions in the target sea area during this period.

[0041] Specifically, adjusting the parameters of the wave-making device includes: (1) Extracting the basic waveform geometric parameters based on the target wave.

[0042] It should be noted that when simulating the ocean environment in the ocean dynamic darkroom, the characteristics of the target wave are determined by the first geometric characteristics of monitoring the sea surface waves in the target sea area. From the two-dimensional matrix of the first geometric characteristics, the wave geometric characteristics at a specific time point and position are selected as the target wave characteristics. Among them, based on the geometric characteristics of the target wave, extracting the basic waveform geometric parameters can include wave crest height, wave trough depth, waveform slope, basic period, initial phase, etc. Specifically, the basic waveform geometric parameters are determined according to the requirements of the target wave, combined with the physical characteristics and dynamic principles of the wave-making device.

[0043] (2) Generating a basic waveform that matches the basic waveform geometric parameters by adjusting the frequency, amplitude, and phase of the motor-driven wave plate.

[0044] It should be noted that the wave-making device mainly consists of a motor drive system and a wave plate. The movement of the motor-driven wave plate generates waves, and the basic waveform is generated by adjusting the frequency, amplitude, and phase of the motor-driven wave plate. According to the basic waveform geometric parameters, the parameter settings of the motor drive are determined. The frequency is related to the basic period, and the amplitude is related to the basic wave height.

[0045] (3) For regular waves, by changing the motor drive frequency and the wave plate displacement amplitude, a single-frequency modulation signal is superimposed on the basic waveform to generate regular waves.

[0046] First, adjust the motor drive frequency according to the target period. At the same time, calculate the amplitude of the wave plate displacement that needs to be increased based on the difference between the target wave height and the basic wave height. Then, generate a single-frequency modulation signal with a frequency of by a signal generator. The amplitude of this signal is related to the amplitude of the wave plate displacement that needs to be increased, and this single-frequency modulation signal is superimposed on the motor drive signal. In this way, on the basis of the basic waveform movement of the wave plate, an additional movement is carried out according to the law of the single-frequency modulation signal, so as to generate a regular wave that meets the target requirements. In addition, during this process, it is necessary to monitor the wave height and period in real time, such as using a wave height sensor and a frequency meter, to ensure that the generated regular wave meets the target parameters.

[0047] (4) For irregular waves, generate a multi-frequency superimposed signal based on the target wave spectrum type, and perform phase modulation with the basic waveform by adjusting the wave plate movement timing to generate a composite wave.

[0048] It should be noted that common target wave spectrum types such as the JONSWAP spectrum, the P-M spectrum, etc. Each spectrum type has its specific energy distribution and frequency composition. First, according to the parameters of the target wave spectrum type, use a mathematical model to calculate different frequency components and their corresponding amplitudes and phases. Then, generate signals with these different frequencies, amplitudes and phases by multiple signal generators and superimpose them together to form a multi-frequency superimposed signal. When inputting the multi-frequency superimposed signal into the motor drive system, it is necessary to accurately adjust the wave plate movement timing to perform phase modulation with the basic waveform. For example, according to the calculated phase relationship, control the start time of each signal generator so that the wave plate responds to signals with different frequencies at different times, thereby generating a composite wave that meets the target wave spectrum type. In addition, during the generation process, use equipment such as an image acquisition system and a spectrum analyzer to monitor the shape and spectrum characteristics of the wave in real time to ensure that the generated irregular wave meets the target requirements.

[0049] S103. In the communication environment of the simulated target sea area, use a transmitting device and a receiving device to conduct a communication test.

[0050] The communication device and the wave-making device are both arranged in an ocean dynamic darkroom. The test includes: the transmitting device sends a test signal to the receiving device according to the target communication band; the receiving device receives part of the test signal; the wave-absorbing material on the inner surface of the ocean dynamic darkroom absorbs other signals except the signals received by the receiving device; among them, the other signals at least include part of the signals sent by the transmitting device and the reflection signals of part of the transmitted signals reaching the simulated waves.

[0051] It should be noted that by monitoring the first geometric features of the sea - level waves in the target sea area and adjusting the parameters of the wave - making device in the ocean dynamic darkroom to simulate the generated environment, which includes various conditions related to ocean communication such as simulated sea waves, is to restore the real ocean scene as much as possible in order to study the propagation characteristics of communication signals therein. Among them, in the ocean dynamic darkroom, the transmitting device can be various communication transmitters, and parameters such as the transmission frequency and power are adjusted according to the test requirements to generate different types of test signals (substantially communication signals, which are called test signals during the test process), such as single - frequency signals, multi - frequency signals or modulated signals. The receiving device is used to receive the test signals sent by the transmitting device. Due to the complexity of the ocean environment, the receiving device can only receive part of the test signals, and the received signals contain information about the influence of the ocean environment on signal propagation. In addition, the target communication band is the communication frequency range set according to the actual ocean communication requirements. Different ocean communication application scenarios may require different communication bands. For example, short - wave communication is often used for long - distance communication, while ultra - short - wave communication is suitable for short - distance communication. It should also be noted that the wave - absorbing material is a special material (which can also form a special structure) set on the inner surface of the ocean dynamic darkroom, and its function is to absorb other signals except those received by the receiving device. These signals include part of the signals directly emitted by the transmitting device to the inner wall of the darkroom and the signals reflected to the inner wall of the darkroom by the simulated waves. The absorption layer can reduce signal reflection and interference, ensuring that the signals received by the receiving device can better reflect the characteristics of the real ocean channel.

[0052] Specifically, the steps for conducting communication tests include: (1) Traverse and select the geometric features of each wave in the matrix of the first geometric features as the wave to be tested.

[0053] It should be noted that the matrix of the first geometric features integrates the geometric features of waves at different times and positions in the target sea area. At the beginning of the communication test, each element in the matrix is traversed, that is, the geometric features of each wave are selected as the wave to be tested. The purpose of this operation is to comprehensively test the communication performance under different wave conditions. For example, the matrix records the wave height, period and other characteristics of a certain sea area at different times and positions. By sequentially selecting the waves corresponding to these characteristics, communication scenarios under various complex sea conditions can be simulated, so as to obtain more comprehensive and accurate communication test data.

[0054] (2) Drive the wave - making device to generate simulated waves corresponding to the time series according to the geometric features of the wave to be tested.

[0055] The wave-making device adjusts its own parameters according to the previously obtained wave geometric characteristics (such as wave height, period, wavelength, etc.) to simulate a wave form similar to the actual waves in the target sea area. For example, if the wave height of the wave to be tested is 1 meter and the period is 5 seconds, the wave-making device will generate a simulated wave with a wave height of about 1 meter and a period of 5 seconds by adjusting parameters such as the frequency, amplitude, and phase of the motor-driven wave plate.

[0056] (3) Place the transmitting device and the receiving device above the wave-making device.

[0057] Such a layout helps to simulate the scenario of signal propagation at the air-seawater interface in maritime communication. The positions of the transmitting device and the receiving device need to consider various factors, such as avoiding the direct impact of waves on the devices while ensuring that the signal can be effectively transmitted to the receiving device. In addition, parameters such as the height and angle of the devices will also affect the signal propagation effect, and precise adjustment is required according to specific experimental requirements during actual operation.

[0058] (4) Use the transmitting device to send a test signal with a first power in the direction of the receiving device; the receiving device receives the test signal with a second power, and the second power is less than the first power.

[0059] During the signal propagation process, it will be affected by various factors and attenuate. In the simulation of the marine environment, the signal will be absorbed and scattered by the simulated waves and there will be natural losses during propagation. For example, when the transmitting device sends a test signal with a power of 10 watts, after being interfered by the simulated waves and suffering propagation losses, the signal power received by the receiving device may be reduced to 5 watts. By recording these two power values, the attenuation situation of the signal in the simulated marine environment can be analyzed.

[0060] Specifically, using the transmitting device to send a test signal with a first power in the direction of the receiving device includes: sending the test signal with the second power to the receiving device; sending the first part of the test signal other than the signal received by the receiving device directly to the inner wall of the marine dynamic darkroom; sending the second part of the test signal other than the signal received by the receiving device to the simulated waves and reflecting it to the inner wall of the marine dynamic darkroom.

[0061] It should be noted that, in addition to the signals received by the receiving device, the first part of the test signals is directly sent to the inner wall of the ocean dynamic anechoic chamber. This part of the signals is caused by the divergence of the signals. Even in the ideal case of straight-line propagation, there will be some signals that cannot reach the receiving device and directly hit the inner wall of the anechoic chamber. The second part of the test signals propagates to the simulated waves and is reflected to the inner wall of the ocean dynamic anechoic chamber. The surface of the simulated waves is uneven, which will cause the signals to be reflected and scattered. This part of the reflected signals increases the complexity of signal propagation and simulates the interference of waves on signals in the real ocean environment. By analyzing the propagation paths and characteristics of these two parts of the signals that are not received by the receiving device, the propagation law of signals in the complex ocean environment can be further understood, providing data support for subsequent signal processing and the establishment of propagation models. For example, by setting multiple signal monitoring points on the inner wall of the anechoic chamber, recording parameters such as the intensity and arrival time of the reflected signals, and analyzing the interference mechanism of the reflected signals on the received signals. Specifically, due to the complexity of the wave surface, the signals will be reflected in all directions after contacting the waves. These reflected signals carry the characteristic information of the target waves and are of great significance for judging the reflection characteristics under the target waves. To comprehensively obtain the reflected signals, signal monitoring points are set at multiple positions on the inner wall of the ocean dynamic anechoic chamber to collect reflected signals with different angles and intensities for subsequent analysis of the reflection characteristics.

[0062] In addition, the communication test also includes: (1) According to each position and time point of the first geometric feature, drive the wave-making device to simulate and generate corresponding waves according to the wave geometric feature.

[0063] The first geometric feature covers the wave information at different positions and times in the target sea area. By driving the wave-making device based on this detailed information, a more diverse and realistic ocean wave environment can be simulated. For example, at a specific time point, the waves at a certain position in the target sea area show specific height, period, and waveform. The wave-making device adjusts its own parameters (such as the frequency, amplitude, and phase of the motor-driven wave plate) precisely according to these characteristic parameters to generate corresponding simulated waves. This can maximize the restoration of the spatio-temporal changes of waves in the real ocean environment in the laboratory, providing a reliable environmental basis for subsequent research on communication performance under different wave conditions.

[0064] (2) In the simulated wave environment, based on the initial positions of the transmitting device and the receiving device, gradually change the direction angle between the transmitting device and the receiving device at a set angular interval. After each change of the direction angle, the transmitting device sends test signals to the receiving device according to the target communication band, and the receiving device receives the test signals.

[0065] In actual ocean communication, the propagation direction of signals is affected by various factors, including the undulation and reflection of waves, as well as interference from the surrounding environment, etc. By changing the direction angle between the transmitting and receiving devices for testing, different signal propagation direction situations can be simulated, and the propagation characteristics of signals in various directions can be studied. For example, setting the angle interval to 10°, starting from 0°, changing 10° each time, and conducting tests at each angle. The transmitting device continuously sends test signals according to the target communication band (such as the short-wave band of 3 - 30 MHz), and the receiving device receives the signals. In this way, data such as the intensity and quality of the test signals at different direction angles can be comprehensively obtained, and the differences in the influence of waves and the environment on the signal in different propagation directions can be analyzed.

[0066] (3) Process the test signals received each time to remove interference signals.

[0067] In the simulated ocean communication environment, the signals received by the receiving device are subject to various interferences, such as mechanical vibration noise generated by the wave-making device, and multipath interference caused by the reflection and scattering of the simulated waves on the signals. To accurately analyze the propagation characteristics of communication signals in the ocean environment, it is necessary to process the received signals to remove these interference signals. Usually, a variety of signal processing techniques are adopted, such as digital filtering, adaptive filtering, blind source separation, etc. For example, the adaptive notch filtering algorithm can effectively remove the mechanical vibration noise of a specific frequency generated by the wave-making device; through the blind source separation technique, the useful signals and interference signals in the received signals can be separated, and pure communication signals can be extracted.

[0068] (4) From the pure signals after the interference removal process, find the direction angle corresponding to the maximum received signal intensity, and record this direction angle as the corresponding relationship between the wave and the receiving direction angle at this position and time point.

[0069] The direction angle with the maximum received signal intensity reflects the optimal direction for the propagation of communication signals in the current wave environment. By recording the corresponding relationship between the wave and the receiving direction angle at each position and time point, the influence law of waves on the propagation direction of communication signals can be deeply understood. For example, at a certain position and time point, when the direction angle between the transmitting and receiving devices is 30°, the received signal intensity reaches the maximum, which indicates that in this specific wave environment, the 30° direction is a better direction for signal propagation.

[0070] S104. Process the test signals received by the receiving device, and analyze the relationship between the processed signals and the simulated waves in the target sea area. The relationship includes the relationship between the received test signals and each simulated wave at each time point and different positions.

[0071] It should be noted that processing the test signals received by the receiving device includes: (1)Construct a three-dimensional model for marine dynamic anechoic chamber communication testing. The three-dimensional model should at least include the anechoic chamber structure, wave-making device, simulated wave field, transmitting device, and receiving device.

[0072] It should be noted that the anechoic chamber structure determines the spatial boundary and electromagnetic environment characteristics of signal propagation. For example, the size, shape of the anechoic chamber, and the electromagnetic properties of the inner wall material will all affect signal reflection and absorption. The position and working state of the wave-making device affect the generation of simulated waves, and thus affect signal propagation in the wave field. Parameters such as the wave form, wave height, and period of the simulated wave field are key marine environmental factors for studying signal propagation. Parameters such as the position, transmit power, receive sensitivity, and antenna characteristics of the transmitting device and receiving device are also incorporated into the model. By accurately constructing this three-dimensional model, the physical characteristics of the communication testing scenario can be truly reflected, providing a basis for subsequent simulation of signal propagation paths. For example, computer-aided design (CAD) and electromagnetic simulation software can be used to input parameters such as the geometric shape and physical properties of each component to construct an accurate three-dimensional model.

[0073] (2)Simulate the propagation path of the test signal transmitted by the transmitting device in the marine dynamic anechoic chamber based on the three-dimensional model.

[0074] Numerical calculation methods, such as the finite-difference time-domain (FDTD) method, can be used to simulate the propagation of the test signal in a complex environment. During the simulation, phenomena such as direct wave, reflection, refraction, and scattering of the signal are considered. For example, when the signal encounters the simulated waves, reflection and scattering will occur, and part of the signal will change its propagation direction; the signal will also be reflected on the surfaces of objects such as the walls of the anechoic chamber and the wave-making device. By simulating these propagation paths, the propagation situation of the signal at different positions and times can be intuitively observed, and information such as the electric field strength, magnetic field strength distribution, and propagation delay of the signal can be obtained.

[0075] (3)Determine the source of the interference signal received by the receiving device based on the propagation path.

[0076] The interference signal may come from multiple aspects, such as the reflection and scattering of simulated waves, the reflection of the internal structure of the anechoic chamber (such as walls, equipment brackets, etc.), and the electromagnetic interference generated by the wave-making device. By analyzing the propagation path, observe which signal paths will cause the interference signal to reach the receiving device. For example, if the reflection signal in a certain area of the simulated wave is strong, and these reflection signals are superimposed with the direct signal at the receiving device, interference will be formed; or the reflection signal of the anechoic chamber wall interferes with the useful signal at a specific time and frequency. After determining the source of the interference signal, targeted measures can be taken to remove the interference.

[0077] (4) Remove the interference signal from the test signal received by the receiving device based on the source of the interference signal, and only retain the test signal received from the transmitting device.

[0078] It should be noted that the marine dynamic anechoic chamber plays a crucial role in the entire interference suppression process. The special design and material selection of the anechoic chamber endow it with the ability to absorb the interference signals generated physically. The wave-absorbing materials on its inner wall can effectively absorb some of the signals emitted by the transmitting device and the signals simulating wave reflections, reducing the reflection and scattering of these signals in the anechoic chamber, lowering the intensity and influence range of the interference signals, and creating a relatively pure signal reception environment for the receiving device. In addition, the receiving hardware is also carefully selected and configured to enhance the ability to receive useful signals and resist interference signals. For example, a receiving antenna with high sensitivity and anti-interference performance is selected, and its design can optimize the reception of signals in specific directions and frequencies while reducing the entry of external interference signals. It should also be noted that in addition to the roles of the anechoic chamber and the receiving hardware, signal processing and denoising technology is the core means to remove interference signals. Different signal processing methods are adopted according to the characteristics of the interference signals. If the interference signal is of a specific frequency, a band-stop filter can be used to remove the signal components of that frequency; for the interference caused by multipath reflections, an adaptive filtering algorithm can be adopted to adjust the parameters of the filter according to the statistical characteristics of the signals and suppress the interference signals. For example, using the least mean square error (LMS) adaptive filtering algorithm, by continuously adjusting the weights of the filter, the error between the signal output by the filter and the desired signal (i.e., the signal directly received from the transmitting device) is minimized, thereby effectively removing the interference signal and improving the quality of the received signal. After the interference removal process, the obtained signal can more accurately reflect the characteristics of the test signal in the simulated wave environment in the target sea area.

[0079] S105. Establish a propagation model of the test signal in the target sea area based on the relationship.

[0080] It should be noted that the relationship data between the received signals obtained from the previous analysis and the simulated waves at various time points and different positions are comprehensively integrated. Key features are extracted from these large amounts of data, such as the attenuation degree, multipath delay spread, phase change and other propagation characteristic parameters of the signal under different wave characteristics such as wave height, period, and spectrum type. Furthermore, according to the data characteristics and research purposes, appropriate modeling methods are selected. Common methods include theoretical modeling based on mathematical formulas and modeling methods based on machine learning. In terms of theoretical modeling, knowledge such as electromagnetic wave propagation theory and ocean hydrodynamics is used to establish a mathematical model describing the relationship between signal propagation characteristics and ocean environmental parameters. For example, based on the wave equation and scattering theory, an attenuation model for signal propagation in a simulated wave environment is constructed, and the quantitative relationship between signal attenuation and wave height, wavelength, and signal frequency is obtained through mathematical derivation. In terms of machine learning modeling, algorithms such as neural networks and support vector machines are used. Taking the neural network as an example, the extracted wave characteristics and corresponding signal propagation characteristic parameters are used as training data and input into the neural network model for training, enabling the model to learn the complex nonlinear mapping relationship between ocean environmental parameters and signal propagation characteristics.

[0081] If the machine learning method is adopted, the model is trained using the training data. During the training process, the parameters of the model are continuously adjusted to make the prediction results of the model as close as possible to the actual data. Through techniques such as cross-validation, overfitting of the model is prevented, and the generalization ability of the model is improved. For the theoretical model, the parameters in the model are calibrated and optimized according to the actual data to ensure that the model can accurately describe the signal propagation characteristics in the target sea area.

[0082] Furthermore, the established model can be verified and evaluated using test data, and error metrics such as root mean square error (RMSE) and mean absolute error (MAE) between the model prediction results and the actual test data are calculated. If the error is within an acceptable range, it indicates that the model has good accuracy and reliability; if the error is large, the modeling process needs to be reexamined, the model structure or parameters need to be adjusted, or even the modeling method needs to be reselected until the model reaches satisfactory performance.

[0083] It should also be noted that after establishing the propagation model, it includes: (1) Obtain the time points and position point information of actual communication in the target sea area and input them into the established propagation model.

[0084] It should be noted that the time point information reflects the dynamic changes of the ocean environment over time. Because the ocean wave, ocean current, meteorological and other conditions are different at different times, they will have different impacts on signal propagation. The position point information determines the specific sea area location where the communication is located, and the ocean characteristics vary significantly in different sea areas.

[0085] (2) The propagation model outputs the actual propagation characteristics under current conditions based on the input information of the actual communication time points and location points.

[0086] During the model establishment process, a large amount of marine dynamic environment data of the target sea area (such as wave characteristics, sea current velocity, etc.) and the propagation data of test signals in the simulation environment are integrated. Through learning and analyzing these data, the model can predict the propagation characteristics of signals under the new input time points and location points. These characteristics include but are not limited to the multipath delay, phase shift, channel capacity, etc. of the signal. The multipath delay reflects the time difference of the signal arriving at the receiving end due to different paths during propagation, which will affect the quality and accuracy of the signal; the phase shift affects the demodulation and decoding processes of the signal; the channel capacity determines the amount of data that the communication system can transmit.

[0087] (3) According to the obtained actual propagation characteristics and combined with the characteristic parameters of the communication device, determine the signal reception direction angle and signal attenuation situation during the communication process.

[0088] It should be noted that the characteristic parameters of the communication device include the gain, directivity, receiving sensitivity, etc. of the antenna. The directivity of the antenna determines its receiving ability for signals in different directions, and the gain affects the strength of the received signal. For example, a directional antenna with high gain can receive signals more effectively in a specific direction. By comprehensively considering the propagation characteristics and device parameters, using signal processing algorithms and relevant theoretical calculations, determine the signal reception direction angle and signal attenuation situation. The signal reception direction angle is crucial for accurately receiving signals, while the signal attenuation situation is directly related to the signal quality and communication reliability.

[0089] (4) According to the determined signal reception direction angle, use the geographical coordinate system of the target sea area and the pre-set conversion relationship between the direction angle and geographical location to determine the actual location of the receiving device.

[0090] In marine communication, accurately determining the location of the receiving device is crucial for achieving reliable communication and subsequent communication management. For example, in a maritime rescue scenario, determining the location of the receiving device carried by a distressed ship or person is the key to implementing the rescue. By combining the signal reception direction angle with the geographical coordinate system and using mathematical methods such as trigonometric functions, according to the pre-set conversion relationship (such as knowing the reference point coordinates and direction angle, calculating the position of the receiving device relative to the reference point), the longitude and latitude coordinates of the receiving device can be calculated, thereby determining its actual location in the target sea area.

[0091] (5) According to the determined signal attenuation situation, determine the transmit power required to meet the communication by calculating or looking up the pre-established database of the correspondence between signal attenuation and transmit power.

[0092] Signal attenuation will cause the signal strength at the receiving end to weaken. To ensure the reliability of communication, it is necessary to adjust the transmission power. If the signal attenuation is large, it is necessary to increase the transmission power to ensure that the receiving device can receive a signal with sufficient strength. Through calculation, according to parameters such as the signal attenuation amount and the sensitivity of the communication device, the required transmission power can be determined; or by searching the pre-established corresponding relationship database, the transmission power value that meets the communication requirements can be quickly obtained. In this way, accurate parameters can be provided for the setting of the sending device, ensuring the smooth progress of communication.

[0093] The method provided in this embodiment comprehensively collects the geographical location and environmental historical data of the target sea area by monitoring the first geometric characteristics of the sea surface waves in the target sea area, and constructs an ocean dynamic environment model, providing comprehensive and accurate basic data for subsequent research, overcoming the limitations of traditional measurement techniques in obtaining ocean environment data. During the wave generation process, the frequency, amplitude, and phase of the motor-driven wave plate of the wave generation device are precisely controlled to generate regular waves and irregular waves, and the wave state is monitored in real time to ensure that the simulation highly restores the real sea conditions. At the same time, combined with the wind generation device, a complete ocean dynamic environment is created, creating extremely realistic conditions for communication experiments, which helps researchers accurately explore the influence mechanism of the ocean environment on communication signals. Through various communication tests in the simulated ocean communication environment, not only are tests carried out by traversing different wave geometric characteristics, but also the direction angles of the sending and receiving devices are changed for multi-angle tests, enabling the acquisition of rich data during the communication process, providing strong support for in-depth analysis of the influence of the ocean environment on communication signals.

[0094] Corresponding to the foregoing embodiment of a method for measuring an ocean channel based on an ocean dynamic darkroom, the present application also provides an embodiment of an apparatus for measuring an ocean channel based on an ocean dynamic darkroom.

[0095] Embodiment 2

[0096] Figure 2 It is a schematic structural diagram of Embodiment 2 of the apparatus for measuring an ocean channel based on an ocean dynamic darkroom provided by the present application. Please refer to Figure 2 , the apparatus provided in this embodiment includes a monitoring module 210, a simulation module 220, a testing module 230, a processing module 240, and an establishment module 250; Among them, the monitoring module 210 is used to monitor the first geometric characteristics of the sea surface waves in the target sea area, and the first geometric characteristics are a two-dimensional matrix, and the two-dimensional matrix includes geometric characteristics in the time dimension in the row direction and geometric characteristics in the position latitude in the column direction; The simulation module 220 is used to adjust the parameters of the wave generation device in the row direction of the first geometric characteristics in the ocean dynamic darkroom to generate simulated sea waves at each time point, simulating the communication environment of the target sea area; The test module 230 is configured to perform a communication test using a transmitting device and a receiving device in the simulated communication environment of the target sea area. The communication device and the wave-making device are both disposed in an ocean dynamic darkroom. The test includes: the transmitting device sending a test signal to the receiving device according to a target communication band; the receiving device receiving part of the test signal; and an absorbing material on the inner surface of the ocean dynamic darkroom absorbing other signals except those received by the receiving device. The processing module 240 is configured to process the test signal received by the receiving device and analyze the relationship between the processed signal and the simulated waves in the target sea area. The relationship includes the relationship between the received test signal and each simulated wave at each time point and different positions. The establishing module 250 is configured to establish a propagation model of the test signal in the target sea area based on the relationship.

[0097] The device of this embodiment can be used to execute Figure 1 the steps of the method embodiment shown. The specific implementation principle and process are similar and will not be elaborated here.

[0098] For the implementation process of the functions and roles of each unit in the above device, please refer to the implementation process of the corresponding steps in the above method for details and will not be elaborated here.

[0099] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is only illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. Those of ordinary skill in the art can understand and implement it without creative work.

[0100] The above are only the preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this application shall be included in the protection scope of this application.

Claims

1. A method for measuring ocean channels based on an ocean dynamic darkroom, characterized in that, The method includes: Monitoring the first geometric feature of the sea - level waves in the target sea area, where the first geometric feature is a two - dimensional matrix, and the two - dimensional matrix includes the geometric feature in the time dimension of the row direction and the geometric feature in the position latitude of the column direction; Adjusting the parameters of the wave - making device in the ocean dynamic darkroom according to the row direction of the first geometric feature to generate simulated sea waves at each time point, and simulating the communication environment of the target sea area; In the simulated communication environment of the target sea area, using a transmitting device and a receiving device to conduct communication tests; both the communication device and the wave - making device are arranged in the ocean dynamic darkroom, and the tests include: the transmitting device sending a test signal to the receiving device according to the target communication band; the receiving device receiving part of the test signal; the absorbing material on the inner surface of the ocean dynamic darkroom absorbing other signals except those received by the receiving device; Processing the test signal received by the receiving device, and analyzing the relationship between the processed signal and the simulated waves in the target sea area, where the relationship includes the relationship between the received test signal and the simulated waves at each time point and different positions; Based on the relationship, establishing a propagation model of the test signal in the target sea area.

2. The method according to claim 1, wherein The establishment process of the first geometric feature includes: Taking the center point of the target sea area as the origin and the sea - level of the target sea area as the reference object, establishing the space coordinate system of the target sea area; Detecting the wave change information of each position coordinate in the space coordinate system; Based on the wave change information, extracting the change trend of the wave geometric feature with time at the position coordinate to obtain a plurality of one - dimensional first wave data, and each first wave data represents the wave geometric feature at each time point at a position coordinate; Taking the first wave data as rows and arranging each first wave data in the order of the position coordinates corresponding to the first wave data to obtain the first geometric feature.

3. The method according to claim 2, wherein Extracting the change trend of the wave geometric feature with time at the position coordinate based on the wave change information includes: At any moment, acquiring the image information of the wave; Detecting the boundary of the wave based on the image information; Determining the peak coordinate of the wave in the space coordinate system and the wave width at the mid - point position according to the boundary of the wave; Determining the detection period of the image information of the next wave according to the change trend of the peak coordinates of the wave at the current moment and the previous moment; Returning to the step of acquiring the image information of the wave according to the detection period.

4. The method according to claim 1, wherein Adjusting the parameters of the wave - making device includes: Extracting the basic waveform geometric parameters based on the target wave; Generating a basic waveform matching the basic waveform geometric parameters by adjusting the frequency, amplitude and phase of the motor - driven wave plate; For regular waves, by changing the motor - driven frequency and the amplitude of the wave plate displacement, superimposing a single - frequency modulation signal on the basic waveform to generate regular waves; For irregular waves, generating a multi - frequency superposition signal based on the target wave spectrum type, and performing phase modulation by adjusting the wave plate movement timing and the basic waveform to generate composite waves.

5. The method according to claim 1, wherein The steps of conducting communication tests include: Traversing and selecting the geometric feature of each wave in the matrix of the first geometric feature as the wave to be tested; According to the geometric characteristics of the wave to be tested, drive the wave generating device to generate simulated waves corresponding to a time series; Place the transmitting device and the receiving device above the wave generating device; Use the transmitting device to send a test signal with a first power in the direction of the receiving device; The receiving device receives the test signal with a second power, and the second power is less than the first power.

6. The method according to claim 5, wherein Using the transmitting device to send a test signal with a first power in the direction of the receiving device includes: The test signal with the second power is sent to the receiving device; A first part of the test signal other than the signal received by the receiving device is directly sent to the inner wall of the marine dynamic anechoic chamber; A second part of the test signal other than the signal received by the receiving device propagates to the simulated wave and is reflected to the inner wall of the marine dynamic anechoic chamber.

7. The method according to claim 1, characterized in that Processing the test signal received by the receiving device includes: Construct a three-dimensional model for marine dynamic anechoic chamber communication testing, and the three-dimensional model at least includes the anechoic chamber structure, the wave generating device, the simulated wave field, the transmitting device and the receiving device; Based on the three-dimensional model, simulate the propagation path of the test signal sent by the transmitting device in the marine dynamic anechoic chamber; Based on the propagation path, determine the source of the interference signal received by the receiving device; Based on the source of the interference signal, remove the interference signal from the test signal received by the receiving device, and only retain the test signal received from the transmitting device.

8. The method according to claim 1, characterized in that, Conducting the communication test further includes: According to each position and time point of the first geometric feature, drive the wave generating device to simulate and generate corresponding waves according to the wave geometric characteristics; In the simulated wave environment, with the initial positions of the transmitting device and the receiving device as the reference, gradually change the direction angle between the transmitting device and the receiving device at a set angular interval. After each change of the direction angle, the transmitting device sends a test signal to the receiving device according to the target communication band, and the receiving device receives the test signal; Process the test signal received each time to remove the interference signal; From the pure signal after the interference removal process, find the direction angle corresponding to the maximum received signal strength, and record this direction angle as the corresponding relationship between the wave and the receiving direction angle at this position and time point.

9. The method according to claim 1, wherein After establishing the propagation model, it includes: Obtain the time point and position point information of the actual communication in the target sea area, and input it into the established propagation model; The propagation model outputs the actual propagation characteristics under the current conditions according to the input actual communication time point and position point information; According to the obtained actual propagation characteristics, combined with the characteristic parameters of the communication device, determine the signal receiving direction angle and the signal attenuation situation during the communication process; According to the determined signal receiving direction angle, use the geographic coordinate system of the target sea area and the pre-set conversion relationship between the direction angle and the geographical location to determine the actual position of the receiving device; According to the determined signal attenuation situation, determine the transmission power required to meet the communication by calculating or looking up the pre-established database of the corresponding relationship between signal attenuation and transmission power.

10. An ocean channel measurement device based on an ocean dynamic darkroom, characterized in that, The device includes a monitoring module, a simulation module, a testing module, a processing module and an establishment module; Among them, the monitoring module is used to monitor the first geometric feature of the sea level waves in the target sea area. The first geometric feature is a two-dimensional matrix, and the two-dimensional matrix includes the geometric feature in the time dimension in the row direction and the geometric feature in the position latitude in the column direction; The simulation module is used to adjust the parameters of the wave-making device according to the row direction of the first geometric feature in the ocean dynamic darkroom, generate simulated sea waves at each time point, and simulate the communication environment of the target sea area; The testing module is used to perform communication tests using the transmitting device and the receiving device in the simulated communication environment of the target sea area. The communication device and the wave-making device are both arranged in the ocean dynamic darkroom. The test includes: the transmitting device sends a test signal to the receiving device according to the target communication band; the receiving device receives part of the test signals; the wave-absorbing material on the inner surface of the ocean dynamic darkroom absorbs other signals except those received by the receiving device; The processing module is used to process the test signals received by the receiving device and analyze the relationship between the processed signals and the simulated waves in the target sea area. The relationship includes the relationship between the received test signals and the simulated waves at each time point and different positions; The establishing module is used to establish a propagation model of the test signal in the target sea area based on the relationship.

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