A method and device for measuring ocean channels based on ocean dynamic anechoic chamber

Abstract

The present application provides a method and device for measuring ocean channels based on an ocean dynamic chamber, which belongs to the field of ocean communications. The method includes: monitoring the first geometric characteristics of sea level waves in the target sea area; adjusting the parameters of the wave-making device in the ocean dynamic chamber according to the direction of the first geometric characteristics, generating simulated ocean waves at various time points, and simulating the communication environment of the target sea area; in the simulated communication environment of the target sea area, performing communication tests using a transmitting device and a receiving device; processing the test signal received by the receiving device, analyzing the relationship between the processed signal and the simulated waves in the target sea area; and establishing a propagation model of the test signal in the target sea area based on the relationship. The ocean channel measurement method and system based on an ocean dynamic chamber provided in the present application can obtain marine communication measurement data in a comprehensive, accurate and controllable manner.

Description

Technical Field

[0001] The present application relates to the field of marine communication technology, and in particular to a method and device for measuring marine channels based on a marine dynamic anechoic chamber. Background Art

[0002] In the field of marine communications, ocean channel measurement is crucial for ensuring the stability and reliability of marine communications. With the increasing frequency of marine resource development activities, such as offshore oil extraction, marine scientific research, and ocean shipping, the demand for marine communications continues to grow, and the requirements for communication quality and efficiency are becoming increasingly stringent. The marine environment is complex and changeable, and its unique geographical and meteorological conditions pose many challenges to marine communications. The marine dynamic environment varies greatly in different sea areas, including changes in wind speed, wave height, and ocean currents, which can significantly affect signal propagation. However, the current understanding of marine channels is still insufficient, and there is a lack of comprehensive and accurate measurement data, which limits the further development of marine communication technology.

[0003] Currently, the main techniques used for ocean channel measurement include field measurements using offshore observation platforms and satellite remote sensing technology to obtain ocean environmental information. While field measurements can obtain relatively accurate data, they are significantly limited by the ocean environment, are costly and dangerous, and have a limited measurement range, making it difficult to comprehensively cover diverse sea areas and complex sea conditions. While satellite remote sensing technology can capture ocean information over large areas, it suffers from limited measurement accuracy, making it difficult to accurately capture micro-scale changes in the ocean's dynamic environment, and cannot directly measure the propagation characteristics of communication signals in the ocean environment.

[0004] Both field measurements and satellite remote sensing technologies struggle to accurately synchronize ocean environmental data with wireless channel data. This makes it difficult for researchers to deeply analyze the inherent relationship between ocean environmental factors and communication channel characteristics, hindering the development of accurate ocean propagation models. Existing measurement technologies are unable to effectively simulate the complex and changing ocean environment, and it is difficult to reproduce real ocean dynamic conditions in the laboratory. This limits research on communication performance in different ocean environments and fails to provide strong support for optimizing maritime communication systems. Summary of the Invention

[0005] In view of this, the present application provides an ocean channel measurement method and system based on an ocean dynamic anechoic chamber, which can obtain marine communication measurement data comprehensively, accurately and controllably.

[0006] Specifically, this application is implemented through the following technical solutions:

[0007] In a first aspect, the present application provides a method for measuring an ocean channel based on an ocean dynamic anechoic chamber, the method comprising:

[0008] Monitoring a first geometric feature of sea level waves in a target sea area, wherein the first geometric feature is a two-dimensional matrix including geometric features of a time dimension in a row direction and geometric features of a position latitude in a column direction;

[0009] Adjusting parameters of a wave-making device in an ocean dynamics chamber according to the direction of the first geometric feature to generate simulated ocean waves at various time points, thereby simulating the communication environment of the target sea area;

[0010] In the simulated communication environment of the target sea area, a communication test is performed using a transmitting device and a receiving device; the communication device and the wave-making device are both located in an ocean dynamics darkroom, and the test includes: the transmitting device sending a test signal to the receiving device according to the target communication band; the receiving device receiving a portion of the test signal; and the absorbing material on the surface of the ocean dynamics darkroom absorbs other signals except those received by the receiving device.

[0011] 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and at different locations;

[0012] A propagation model of the test signal in the target sea area is established based on the relationship.

[0013] A second aspect of the present application provides an ocean channel measurement device based on an ocean dynamic chamber, the device comprising a monitoring module, a simulation module, a testing module, a processing module, and an establishment module;

[0014] The monitoring module is used to monitor the first geometric characteristics of sea level waves in the target sea area, wherein the first geometric characteristics are a two-dimensional matrix, and the two-dimensional matrix includes geometric characteristics of the time dimension in the row direction and geometric characteristics of the position latitude in the column direction;

[0015] The simulation module is configured to adjust parameters of a wave-making device in an ocean dynamics chamber according to the direction of the first geometric feature, generate simulated ocean waves at various time points, and simulate the communication environment of the target sea area;

[0016] The test module is used to perform a communication test using a transmitting device and a receiving device in a simulated communication environment of the target sea area; the communication device and the wave-making device are both located in an ocean dynamics darkroom, and the test includes: 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; and the absorbing material on the surface of the ocean dynamics darkroom absorbing other signals except those received by the receiving device.

[0017] The processing module 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and at different locations;

[0018] The establishing module is used to establish a propagation model of the test signal in the target sea area based on the relationship.

[0019] The ocean channel measurement method and device based on the ocean dynamic anechoic chamber provided in this application monitors the first geometric characteristics of the sea level waves in the target sea area and adjusts the parameters of the wave-making device according to the characteristics to generate simulated waves in the ocean dynamic anechoic chamber, highly restoring the communication environment of the target sea area. This allows the wave conditions at different time points and locations to be accurately simulated in the laboratory, overcoming the problem that traditional measurement technologies are difficult to simulate complex ocean environments, and helping researchers to deeply explore the impact mechanism of the ocean environment on communication signals. When conducting communication tests in the simulated target sea area communication environment, the test signals are collected by the sending and receiving devices, and the inner wall of the anechoic chamber is used to absorb signals scattered and refracted in other directions. Signal monitoring points are set at multiple locations on the inner wall of the anechoic chamber to collect reflected signals of different angles and intensities. This ensures that the receiving device can receive pure signals rather than other clutter signals, and collects reflected signals of 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, and comprehensive and rich data can be obtained to provide support for subsequent research. In addition, the test signals received by the receiving device are processed and analyzed in relation to the simulated waves, which can effectively identify and remove interference signals. By constructing a three-dimensional model to simulate the signal propagation path, interference sources are identified and eliminated, allowing the processed signal to more accurately reflect the actual communication situation, improving the accuracy and reliability of communication signal analysis. The method provided in this application provides comprehensive, accurate, and controllable measurement data for marine communication research, facilitating in-depth analysis of the inherent relationship between marine environmental factors and communication channel characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 Flowchart of Example 1 of the ocean channel measurement method based on the ocean dynamic anechoic chamber provided by this application;

[0021] Figure 2 This is a structural schematic diagram of Example 2 of the ocean channel measurement device based on the ocean dynamic anechoic chamber provided in this application. DETAILED DESCRIPTION

[0022] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0023] 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 "the" used in this application are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0024] 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, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0025] Specific embodiments are given below to introduce the technical solutions of the present application in detail.

[0026] Example 1

[0027] Figure 1 This is a flow chart of the first embodiment of the ocean channel measurement method based on the ocean dynamic darkroom provided by this application. Figure 1 The method provided in this embodiment may include:

[0028] S101. Monitor first geometric features of sea level waves in a target sea area, where the first geometric features are a two-dimensional matrix including geometric features of a time dimension in a row direction and geometric features of a position latitude in a column direction.

[0029] It should be noted that the purpose of monitoring the primary geometric characteristics of sea surface waves in the target sea area is to obtain key information about the ocean dynamic environment. This provides basic data support for subsequent accurate simulation of the ocean environment, communication testing, analysis of signal-wave relationships, and the development of propagation models. The time dimension of the primary geometric characteristics reflects the temporal trend of waves, while the location dimension determines the differences in wave characteristics at different locations.

[0030] Specifically, the process of establishing the first geometric feature includes:

[0031] (1) Establishing a spatial coordinate system of the target sea area with the center point of the target sea area as the origin and the sea level of the target sea area as the reference.

[0032] It should be noted that by determining the origin and reference plane, a unified spatial benchmark is provided for measuring wave changes at different locations and times, giving the description of wave characteristics a clear spatial directionality. For example, when measuring waves in a specific sea area, the center of the sea area is set as the coordinate origin (0,0,0), and the east direction is defined as the positive direction of the x-axis, the north direction is defined as the positive direction of the y-axis, and the direction perpendicular to the sea level is defined as the positive direction of the z-axis. In this way, the wave information obtained from subsequent measurements can be found in the corresponding position in this coordinate system, facilitating system analysis and processing.

[0033] (2) Detect the wave change information of each position coordinate in the spatial coordinate system.

[0034] Within an established spatial coordinate system, a variety of advanced monitoring equipment and technologies are employed to detect wave fluctuations at various locations. These include, but are not limited to, wave height sensors, laser rangefinders, and video monitoring systems installed at various locations. Wave height sensors can capture real-time wave height fluctuations, while laser rangefinders can precisely measure the distance between specific points on the wave surface and the measurement equipment, assisting in determining wave shape and positional changes. Video monitoring systems can record dynamic images of waves, comprehensively capturing their motion characteristics from multiple angles. These devices and technologies enable the acquisition of a wealth of information on wave fluctuations, such as how wave height, period, propagation speed, and waveform change over time.

[0035] Specifically, there are two dimensions of wave variation: one is the change in waves at the same location at different time points, and the other is the change in waves at the same time point at different locations. In order to obtain the law of wave variation over time and position, detection methods are used to detect the wave conditions in the target sea area and obtain the trend of wave waveform variation over time and position.

[0036] (3) Based on the wave change information, the change trend of the wave geometric characteristics at the position coordinate over time is extracted to obtain a plurality of one-dimensional first wave data, each of which represents the wave geometric characteristics at each time point at a position coordinate.

[0037] It should be noted that the collected wave variation information is thoroughly analyzed and processed to extract the temporal trends of the wave geometric characteristics at each location coordinate. Wave geometric characteristics primarily include crest height, trough depth, and wavelength. Taking crest height as an example, by analyzing wave height sensor data, the crest height values at different time points are determined, and then the temporal trends of crest height are observed, such as whether it gradually increases, decreases, or remains stable. Regarding wavelength, the distance between adjacent crests or troughs is measured using data from a laser rangefinder and video monitoring system, and its temporal variations are analyzed. By analyzing the temporal trends of these geometric characteristics, multiple one-dimensional first wave data sets are generated. Each one-dimensional first wave data set is an ordered collection of wave geometric characteristics at each time point at a location coordinate, fully recording the temporal variations of the waves at that location.

[0038] (4) Taking the first wave data as a row, arranging each of the first wave data in the order of the position coordinates corresponding to the first wave data, and obtaining the first geometric feature.

[0039] The first wave data obtained is treated as rows and arranged in the order of their corresponding position coordinates. The arrangement strictly adheres to the positional order in the spatial coordinate system, for example, from the negative to the positive direction of the x-axis, and from the negative to the positive direction of the y-axis, and so on. This arrangement forms a two-dimensional matrix, the first geometric feature. This two-dimensional matrix integrates wave information in both time and space, and can intuitively display the changes in the geometric characteristics of waves at different locations in the target sea area over time. This provides a critical data foundation for subsequent simulation of the ocean environment, communication testing, and the establishment of propagation models.

[0040] In addition, in a specific implementation, extracting the change trend of the wave geometric characteristics at the position coordinates over time based on the wave change information includes:

[0041] (1) At any moment, obtain the image information of the waves.

[0042] It should be noted that in the target sea area, wave images are collected using high-definition cameras installed at different positions and heights, as well as cameras mounted on drones. These devices constitute an image acquisition system, which is calibrated to correspond to an established spatial coordinate system to ensure that the acquired image information accurately reflects the position and shape of the waves in that coordinate system. During the acquisition process, an appropriate frame rate is set according to actual needs. For example, in areas where waves change more drastically, the frame rate can be increased to 30 frames per second or even higher to capture the instantaneous changes in the waves; in relatively stable areas, the frame rate can be appropriately reduced to around 15 frames per second to balance data volume and information integrity. The acquisition equipment also has different shooting modes, such as panoramic shooting for capturing the overall shape of waves over a large area, and close-up shooting for observing local wave details.

[0043] (2) Detecting the boundary of the wave based on the image information.

[0044] Advanced image recognition algorithms are used to process the acquired image information. First, the color image is converted to grayscale to reduce image complexity and improve processing efficiency. Next, edge detection algorithms, such as the Canny edge detection algorithm, are applied. This algorithm calculates the gradient strength and direction of pixels in the image to identify areas with significant grayscale value changes, thereby determining the edges of waves. During the detection process, algorithm parameters are optimized based on the characteristics of the wave image, such as adjusting the threshold range, to accurately extract wave boundaries and avoid misidentifying noise or other interfering factors as wave boundaries.

[0045] (3) Determine the peak coordinates and the wave width at the midpoint position of the wave in the spatial coordinate system based on the boundary of the wave.

[0046] After detecting the wave boundary, the boundary information is analyzed. By searching for pixels on the boundary, the points with the maximum (corresponding to the wave crest) and minimum (corresponding to the wave trough) vertical coordinates are found. The coordinates of these points in the spatial coordinate system are the coordinates of the wave peaks. To determine the wave width at the midpoint, first calculate the vertical distance between the crest and trough, divide it by 2 to obtain the midpoint vertical coordinate. Then, search for two intersection points of the wave boundary on the horizontal line of this vertical coordinate. The difference in the horizontal coordinates of these two intersection points in the spatial coordinate system is the wave width at the midpoint. For example, during the calculation process, considering the discrete nature of image pixels, an interpolation algorithm can be used to accurately calculate the coordinates, improving measurement accuracy.

[0047] (4) Determine the detection period of the image information of the next wave based on the change trend of the peak coordinates of the waves at the current moment and the previous moment.

[0048] It should be noted that wind direction, wind speed, and other environmental factors influencing waves can be monitored in real time using equipment such as anemometers and wind vanes. This, combined with ocean current monitoring data and tidal data, provides a comprehensive understanding of current marine environmental conditions. Furthermore, wave geometric characteristic data, such as crest height and crest position in the spatial coordinate system, are selected for the previous n time points (n is determined based on the stability of wave fluctuations and the amount of data, generally ranging from 5 to 10). Using methods such as polynomial fitting or spline curve fitting, a wave peak variation curve is fitted based on the current real-time environmental factors. For example, in conditions of high wind speed and stable wind direction, wave peaks may exhibit a linear growth trend. In this case, a linear polynomial fitting can be used. For more complex wave fluctuations, spline curve fitting can be used to better approximate the actual fluctuations.

[0049] Furthermore, the fitted wave peak change curve is compared with the current change trend for analysis. The position of the next peak coordinate point is predicted based on the slope, curvature and other characteristics of the curve. For example, if the slope of the curve gradually increases, it indicates that the wave peak is rising and the rising speed is accelerating. Based on this, the height of the next peak and its position in the spatial coordinate system are predicted. And then, based on the predicted next peak coordinate point and the wave propagation speed (which can be obtained through previous image analysis or other measurement methods), the time when the peak reaches a specific position is calculated to determine the image information detection time of the next wave. For example, if the wave propagation speed is known to be v and the distance between the predicted peak and the current monitoring point is d, then the detection time t=d / v.

[0050] Finally, after completing the next wave image detection, the previously fitted wave peak variation curve is corrected based on the actual detected peak coordinates and geometric features. The deviation between the actual peak and the predicted peak is calculated, and the parameters of the fitted curve are adjusted to make the curve closer to the actual wave variation.

[0051] (5) Returning to the step of obtaining wave image information according to the detection cycle.

[0052] It should be noted that according to the determined detection cycle, the step of obtaining wave image information is returned to continuously monitor and analyze the wave geometric characteristics. By continuously looping this process, dynamic tracking of the changing trend of wave geometric characteristics over time is achieved, providing accurate and real-time data support for subsequent simulation of the ocean environment, communication testing, and establishment of propagation models.

[0053] S102: Adjust parameters of a wave-making device in an ocean dynamics darkroom according to the direction of the first geometric feature to generate simulated ocean waves at various time points, thereby simulating the communication environment of the target sea area.

[0054] Each of the simulated ocean waves includes a plurality of simulated waves at the same time and at various positions, having the same geometric characteristics as the waves at various positions in the column direction of the first matrix.

[0055] It should be noted that after obtaining the first geometric feature, the parameters of the wave-making device are adjusted in the ocean dynamics darkroom according to the row direction of the first geometric feature. This is because adjusting the parameters of the wave-making device in the row direction can make the temporal changes of the generated simulated waves consistent with the actual wave changes in the target sea area. For example, a row of data in the first geometric feature records the process in which the wave height at a certain location in a certain sea area gradually increases from 0.5 meters to 1 meter and then slowly decreases to 0.8 meters over a period of time. By adjusting the wave-making device according to this row of data, the wave-making device in the darkroom can simulate the same change in wave height over time, thereby truly restoring the wave conditions in the target sea area during that time period.

[0056] Specifically, adjusting the parameters of the wave-making device includes:

[0057] (1) Extract basic waveform geometric parameters based on the target wave.

[0058] It should be noted that when simulating the ocean environment in an ocean dynamics chamber, the characteristics of the target wave are determined by monitoring the first geometric characteristics of 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 location are selected as the target wave characteristics. Based on the geometric characteristics of the target wave, basic waveform geometric parameters are extracted, which can include peak height, trough depth, waveform slope, basic period, initial phase, etc. Specifically, these basic waveform geometric parameters are determined based on the requirements of the target wave and combined with the physical characteristics and dynamic principles of the wave-making device.

[0059] (2) By adjusting the frequency, amplitude and phase of the motor-driven wave plate, a basic waveform matching the geometric parameters of the basic waveform is generated.

[0060] It should be noted that the wave-making device primarily consists of a motor drive system and a wave plate. The movement of the motor-driven wave plate generates waves. The basic waveform is generated by adjusting the frequency, amplitude, and phase of the motor-driven wave plate. The motor drive parameter settings are determined based on the geometric parameters of the basic waveform. The frequency is related to the basic period, while the amplitude is related to the basic wave height.

[0061] (3) For regular waves, a single-frequency modulation signal is superimposed on the basic waveform by changing the motor driving frequency and the wave plate displacement amplitude to generate regular waves.

[0062] First, the motor drive frequency is adjusted according to the target period. At the same time, the required increase in the wave plate displacement amplitude is calculated based on the difference between the target wave height and the base wave height. Then, a single-frequency modulation signal with a frequency of is generated by a signal generator. The amplitude of this signal is related to the required increase in the wave plate displacement amplitude, and this single-frequency modulation signal is superimposed on the motor drive signal. In this way, the wave plate performs additional movement based on the law of the single-frequency modulation signal on the basis of the movement of the base waveform, thereby generating a regular wave that meets the target requirements. In addition, during this process, the wave height and period need to be monitored 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.

[0063] (4) For irregular waves, a multi-frequency superposition signal is generated based on the target wave spectrum type, and a composite wave is generated by adjusting the wave plate motion timing and performing phase modulation with the basic waveform.

[0064] It should be noted that common target wave spectrum types, such as the JONSWAP spectrum and the PM spectrum, each have their own specific energy distribution and frequency composition. First, based on the parameters of the target wave spectrum type, a mathematical model is used to calculate the different frequency components and their corresponding amplitudes and phases. Then, multiple signal generators are used to generate these signals of different frequencies, amplitudes, and phases, and they are superimposed together to form a multi-frequency superposition signal. When the multi-frequency superposition signal is input into the motor drive system, the timing of the wave plate movement needs to be precisely adjusted so that it is phase-modulated with the basic waveform. For example, based on the calculated phase relationship, the start-up time of each signal generator is controlled so that the wave plate responds to signals of different frequencies at different times, thereby generating a composite wave that meets the target wave spectrum type. In addition, during the generation process, equipment such as image acquisition systems and spectrum analyzers are used to monitor the wave morphology and spectral characteristics in real time to ensure that the generated irregular waves meet the target requirements.

[0065] S103: Perform a communication test using a sending device and a receiving device in the simulated communication environment of the target sea area.

[0066] The communication equipment and the wave-making device are both installed 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 absorbing material on the inner surface of the ocean dynamic darkroom absorbs other signals except those received by the receiving device; wherein, the other signals at least include part of the signal sent by the transmitting device and the reflected signal of part of the transmitted signal arriving on the simulated waves.

[0067] It should be noted that by monitoring the primary geometric characteristics of sea surface waves in the target sea area and adjusting the parameters of the wave-generating device in the ocean dynamics anechoic chamber to simulate the generated environment, including simulated ocean waves and other conditions relevant to marine communications, the goal is to recreate a realistic ocean scene as closely as possible to facilitate the study of the propagation characteristics of communication signals within it. Within the ocean dynamics anechoic chamber, the transmitting device can be any type of communication transmitter. Transmitting parameters such as frequency and power are adjusted according to test requirements to generate different types of test signals (essentially communication signals, but referred to as 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 emitted by the transmitting device. Due to the complexity of the marine environment, the receiving device can only receive a portion of the test signal. The received signal contains information about the impact of the marine environment on signal propagation. Furthermore, the target communication band is a communication frequency range set based on actual marine communication requirements. Different marine communication application scenarios may require different communication bands. For example, shortwave communication is often used for long-distance communication, while ultrashortwave communication is suitable for short-distance communication. It should also be noted that the absorbing material is a special material (or a special structure) applied to the inner surface of the ocean dynamics anechoic chamber to absorb signals other than those received by the receiving device. These signals include the portion of the signal emitted directly by the transmitter onto the chamber's inner walls, as well as the signal reflected off the chamber's inner walls by simulated waves. The absorption layer reduces signal reflections and interference, ensuring that the signal received by the receiver more closely reflects the characteristics of the actual ocean channel.

[0068] Specifically, the steps for performing a communication test include:

[0069] (1) Traverse and select the geometric features of each wave in the matrix of the first geometric feature as the wave to be tested.

[0070] It should be noted that the first geometric feature matrix integrates the wave geometric features of the target sea area at different times and locations. 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 locations. By sequentially selecting the waves corresponding to these characteristics, it is possible to simulate communication scenarios under various complex sea conditions, thereby obtaining more comprehensive and accurate communication test data.

[0071] (2) According to the geometric characteristics of the wave to be tested, the wave-making device is driven to generate simulated waves of the corresponding time series.

[0072] The wave-making device adjusts its parameters based on previously acquired wave geometry (such as wave height, period, and wavelength) to simulate wave forms similar to those in the target sea area. For example, if the test wave has a height of 1 meter and a period of 5 seconds, the wave-making device will generate a simulated wave with a height of approximately 1 meter and a period of 5 seconds by adjusting the frequency, amplitude, and phase of the motor-driven wave plate.

[0073] (3) Placing a transmitting device and a receiving device above the wave-making device.

[0074] This layout helps simulate the signal propagation at the air-seawater interface during maritime communications. The positioning of the transmitter and receiver requires careful consideration, such as protecting the devices from direct impact from waves while ensuring effective signal transmission to the receiver. Furthermore, parameters such as the height and angle of the devices also affect signal propagation, requiring precise adjustments based on specific experimental requirements.

[0075] (4) Using a transmitting device, transmitting a test signal of a first power toward the direction of the receiving device; the receiving device receives the test signal of a second power, where the second power is less than the first power.

[0076] During signal propagation, signal attenuation occurs due to various factors. In ocean environment simulations, signals are absorbed and scattered by simulated waves, as well as experiencing natural losses during propagation. For example, a transmitting device sends a test signal at 10 watts. After interference from simulated waves and propagation losses, the signal power received by the receiving device may drop to 5 watts. By recording these two power values, we can analyze the signal attenuation in the simulated ocean environment.

[0077] Specifically, a test signal of a first power is sent in the direction of the receiving device using a transmitting device, including: a test signal of the second power is sent to the receiving device; a first part of the test signal except the signal received by the receiving device is directly sent to the inner wall of the ocean power darkroom; a second part of the test signal except the signal received by the receiving device is propagated to the simulated wave and reflected to the inner wall of the ocean power darkroom.

[0078] It should be noted that, in addition to the signal received by the receiving device, the first test signal is sent directly to the inner wall of the ocean dynamics chamber. This signal is caused by signal divergence. Even under ideal linear propagation conditions, some signals will not reach the receiving device and will directly impact the chamber walls. The second test signal propagates to the simulated waves and reflects off the inner wall of the ocean dynamics chamber. The uneven surface of the simulated waves causes reflections and scattering of the signal. These reflected signals increase the complexity of signal propagation, simulating the interference of waves on the signal in a real ocean environment. By analyzing the propagation paths and characteristics of these two signals not received by the receiving device, we can further understand the propagation patterns of signals in complex ocean environments and provide data support for subsequent signal processing and propagation modeling. For example, by setting up multiple signal monitoring points on the inner wall of the chamber and recording parameters such as the intensity and arrival time of the reflected signals, we can analyze the interference mechanism of the reflected signals on the received signal. Specifically, due to the complexity of the wave surface, the signal will be reflected in various directions after contact with the wave. These reflected signals carry characteristic information about the target wave and are important for determining the reflection characteristics under the target wave. In order to fully obtain the reflected signals, signal monitoring points are set up at multiple locations on the inner wall of the ocean dynamic chamber to collect reflected signals of different angles and intensities for subsequent analysis of the reflection characteristics.

[0079] In addition, communication testing also includes:

[0080] (1) According to each position and time point of the first geometric feature, the wave-making device is driven according to the wave geometric feature to simulate and generate corresponding waves.

[0081] The first geometric feature encompasses wave information at different locations 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 point in time, waves at a certain location in the target sea area exhibit a specific height, period, and waveform. Based on these characteristic parameters, the wave-making device precisely adjusts its own parameters (such as the frequency, amplitude, and phase of the motor-driven wave plate) to generate corresponding simulated waves. This allows the temporal and spatial variations of waves in a real ocean environment to be reproduced to the greatest extent possible in the laboratory, providing a reliable environmental foundation for subsequent research on communication performance under different wave conditions.

[0082] (2) In a simulated wave environment, based on the initial positions of the transmitting device and the receiving device, the azimuth angle between the transmitting device and the receiving device is gradually changed according to the set angular interval. After each azimuth angle change, 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.

[0083] In actual marine communications, the direction of signal propagation is affected by a variety of factors, including wave fluctuations, reflections, and interference from the surrounding environment. By varying the angular distance between the transmitting and receiving devices during testing, we can simulate different signal propagation directions and study the signal propagation characteristics in various directions. For example, we can set the angle interval to 10°, starting from 0° and incrementing by 10°. Testing is performed at each angle. The transmitting device continuously transmits test signals in the target communication band (such as the 3-30MHz shortwave band), and the receiving device receives the signals. This allows comprehensive data on the strength and quality of the test signals at different angular distances to be analyzed, allowing for analysis of how the signals are affected by waves and the environment in different propagation directions.

[0084] (3) Process each received test signal to remove interference signals.

[0085] In a simulated marine communication environment, the signals received by the receiving device are subject to various interferences, such as mechanical vibration noise generated by wave-making devices and multipath interference caused by reflection and scattering of the signals by simulated waves. To accurately analyze the propagation characteristics of communication signals in this marine environment, the received signals must be processed to remove these interfering signals. Various signal processing techniques are commonly used, such as digital filtering, adaptive filtering, and blind source separation. For example, adaptive notch filtering can effectively remove the specific frequency mechanical vibration noise generated by wave-making devices. Blind source separation can also be used to separate the desired signal from the interfering signals in the received signal, extracting the pure communication signal.

[0086] (4) From the pure signal after interference removal, find the direction angle corresponding to the maximum received signal strength, and record this direction angle as the correspondence between the wave and the received direction angle at that position and time point.

[0087] The azimuth angle with the highest received signal strength reflects the optimal direction for communication signal propagation in the current wave environment. By recording the relationship between wave strength and receiving azimuth angle at each location and time, we can gain a deeper understanding of how waves influence the direction of communication signal propagation. For example, at a certain location and time, when the angle between the transmitting and receiving devices is 30°, the received signal strength reaches its maximum, indicating that the 30° direction is the optimal direction for signal propagation in this specific wave environment.

[0088] S104: 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and different position.

[0089] It should be noted that processing the test signal received by the receiving device includes:

[0090] (1) Construct a three-dimensional model of the ocean dynamic darkroom communication test, which at least includes the darkroom structure, wave-making device, simulated wave field, transmitting equipment and receiving equipment.

[0091] It's important to note that the chamber structure determines the spatial boundaries and electromagnetic environment characteristics for signal propagation. For example, the chamber's size, shape, and the electromagnetic properties of its inner wall material all affect signal reflection and absorption. The position and operating state of the wave-making device influence the generation of simulated waves, which in turn affects signal propagation within the wave field. Parameters such as wave shape, wave height, and period in the simulated wave field are key marine environmental factors for studying signal propagation. Parameters such as the location of the transmitting and receiving devices, transmit power, receive sensitivity, and antenna characteristics are also incorporated into the model. By accurately constructing this three-dimensional model, the physical characteristics of the communication test scenario can be realistically reflected, providing a foundation for subsequent simulations of signal propagation paths. For example, computer-aided design (CAD) and electromagnetic simulation software can be used to input parameters such as the geometry and physical properties of each component to construct a precise three-dimensional model.

[0092] (2) Based on the three-dimensional model, simulate the propagation path of the test signal sent by the sending equipment in the ocean dynamic darkroom.

[0093] Numerical calculation methods, such as the finite-difference time-domain method (FDTD), can be used to simulate the propagation of test signals in complex environments. During the simulation, phenomena such as direct transmission, reflection, refraction, and scattering of the signal are taken into account. For example, when a signal encounters simulated waves, it will reflect and scatter, causing some of the signal to change its propagation direction. Signals will also reflect from surfaces such as the walls of the darkroom and the wave-generating device. By simulating these propagation paths, the propagation of the signal at different locations and times can be visually observed, providing information such as the signal's electric and magnetic field strength distributions and propagation delay.

[0094] (3) Determine the source of the interference signal received by the receiving device based on the propagation path.

[0095] Interference signals can come from a variety of sources, including reflection and scattering from simulated waves, reflection from internal chamber structures (such as walls and equipment supports), and electromagnetic interference generated by the wave-generating device. By analyzing the propagation paths, we can identify which signal paths lead to interference signals reaching the receiving device. For example, if a certain area of the simulated waves has strong reflections, and these reflections overlap with the direct signal at the receiving device, interference will occur. Alternatively, reflections from the chamber walls may interfere with the desired signal at specific times and frequencies. Once the source of the interference signal is determined, targeted measures can be taken to eliminate it.

[0096] (4) removing the interference signal from the test signal received by the receiving device based on the source of the interference signal, and retaining only the test signal received from the transmitting device.

[0097] It's important to note that the ocean dynamics anechoic chamber plays a crucial role in the entire interference suppression process. The chamber's specialized design and material selection enable it to absorb physically generated interference signals. The absorbing material on its inner walls effectively absorbs a portion of the signals emitted by the transmitting device, as well as signals reflected by simulated waves. This reduces reflection and scattering within the chamber, diminishing the intensity and impact range of the interference signal, and creating a relatively pure signal reception environment for the receiving equipment. Furthermore, the receiving hardware has been carefully selected and configured to enhance its ability to receive useful signals and mitigate interference signals. For example, a receiving antenna with high sensitivity and interference resistance is selected, optimized for reception of signals from specific directions and frequencies while reducing the ingress of external interference signals. It's also important to note that, in addition to the roles of the anechoic chamber and receiving hardware, signal processing and denoising techniques are the core means of eliminating interference signals. Different signal processing methods are employed depending on the characteristics of the interference signal. If the interference signal is of a specific frequency, a band-stop filter can be used to remove the signal component at that frequency. For interference caused by multipath reflections, an adaptive filtering algorithm can be used to adjust the filter parameters based on the statistical characteristics of the signal to suppress the interference signal. For example, the Least Mean Squared Error (LMS) adaptive filtering algorithm continuously adjusts the filter weights to minimize the error between the filter output signal and the desired signal (i.e., the signal directly received from the transmitting device), effectively removing interference signals and improving the quality of the received signal. After interference removal, the resulting signal more accurately reflects the test signal characteristics under the simulated wave environment of the target sea area.

[0098] S105: Establish a propagation model of the test signal in the target sea area based on the relationship.

[0099] It is important to note that the previously analyzed data on the relationship between the received signal and simulated waves at various time points and locations is fully integrated. Key features are extracted from this extensive data, such as signal attenuation, multipath delay spread, phase shift, and other propagation parameters under varying wave characteristics, such as wave height, period, and spectral type. Furthermore, an appropriate modeling approach is selected based on the data characteristics and research objectives. Common approaches include theoretical modeling based on mathematical formulas and machine learning. In theoretical modeling, knowledge of electromagnetic wave propagation theory and ocean fluid dynamics is utilized to develop mathematical models that describe the relationship between signal propagation characteristics and ocean environmental parameters. For example, based on wave equations and scattering theory, an attenuation model for signal propagation in a simulated wave environment is constructed. Through mathematical derivation, a quantitative relationship between signal attenuation and wave height, wavelength, and signal frequency is derived. In machine learning modeling, algorithms such as neural networks and support vector machines are employed. For example, the extracted wave features and corresponding signal propagation parameters are used as training data and fed 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.

[0100] If machine learning methods are used, the model is trained using training data. During the training process, the model parameters are continuously adjusted to ensure that the model's predictions are as close as possible to the actual data. Techniques such as cross-validation are used to prevent overfitting and improve the model's generalization ability. For theoretical models, the model parameters are calibrated and optimized based on actual data to ensure that the model accurately describes the propagation characteristics of the signal in the target sea area.

[0101] Furthermore, the established model can be verified and evaluated using test data, calculating error metrics such as root mean square error (RMSE) and mean absolute error (MAE) between the model's predictions and the actual test data. If the error is within an acceptable range, the model has good accuracy and reliability. If the error is large, it is necessary to re-examine the modeling process, adjust the model structure or parameters, or even reselect the modeling method until the model achieves satisfactory performance.

[0102] It should also be noted that after the propagation model is established, it includes:

[0103] (1) Obtain the time and location information of actual communication in the target sea area and input it into the established propagation model.

[0104] It's important to note that time information reflects the dynamic changes in the ocean environment over time, as varying ocean waves, currents, and weather conditions at different times can have varying impacts on signal propagation. Location information identifies the specific ocean area where the communication occurs, and ocean characteristics vary significantly across different sea areas.

[0105] (2) The propagation model outputs the actual propagation characteristics under current conditions based on the input actual communication time point and location point information.

[0106] During the model development process, a large amount of ocean dynamic environment data for the target sea area (such as wave characteristics and current speeds) was integrated, as well as test signal propagation data in a simulated environment. By learning and analyzing this data, the model can predict the signal propagation characteristics under specific conditions based on newly input time and location information. These characteristics include, but are not limited to, multipath delay, phase offset, and channel capacity. Multipath delay reflects the time difference between signals arriving at the receiver due to different propagation paths, which affects signal quality and accuracy; phase offset affects the demodulation and decoding process; and channel capacity determines the amount of data a communication system can transmit.

[0107] (3) Based on the actual propagation characteristics obtained and combined with the characteristic parameters of the communication equipment, determine the signal reception direction angle and signal attenuation during the communication process.

[0108] It's important to note that the characteristic parameters of communications equipment include antenna gain, directivity, and receiving sensitivity. The antenna's directivity determines its ability to receive signals from different directions, while the gain affects the strength of the received signal. For example, a directional antenna with high gain can more effectively receive signals in a specific direction. By comprehensively considering propagation characteristics and device parameters, and utilizing signal processing algorithms and relevant theoretical calculations, the signal reception direction angle and signal attenuation are determined. The signal reception direction angle is crucial for accurate signal reception, while signal attenuation directly affects signal quality and communication reliability.

[0109] (4) Based on the determined signal reception direction angle, the actual location of the receiving device is determined using the geographic coordinate system of the target sea area and the pre-set conversion relationship between the direction angle and the geographic location.

[0110] In marine communications, accurately determining the location of the receiving device is crucial for reliable communication and subsequent communication management. For example, in maritime rescue scenarios, determining the location of the receiving device carried by a vessel or person in distress is crucial for implementing rescue operations. By combining the signal reception direction angle with the geographic coordinate system and using mathematical methods such as trigonometric functions, based on pre-defined conversion relationships (e.g., given a reference point's coordinates and direction angle, calculating the receiving device's position relative to that reference point) the latitude and longitude coordinates of the receiving device can be calculated, thereby determining its actual location within the target sea area.

[0111] (5) Based on the determined signal attenuation, the transmit power required for communication is determined by calculating or searching a pre-established database of the relationship between signal attenuation and transmit power.

[0112] Signal attenuation reduces signal strength at the receiving end. To ensure reliable communication, the transmit power needs to be adjusted. If the signal attenuation is significant, the transmit power needs to be increased to ensure the receiving device can receive a sufficiently strong signal. The required transmit power can be determined by calculation based on parameters such as the amount of signal attenuation and the sensitivity of the communication device. Alternatively, a pre-established database of correspondences can be used to quickly retrieve the transmit power value that meets communication requirements. This provides accurate parameters for the transmitter's configuration, ensuring smooth communication.

[0113] 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 sea level 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 technology in obtaining ocean environmental data. During the wave-making process, the frequency, amplitude, and phase of the wave plate driven by the motor of the wave-making device are precisely controlled to generate regular 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-making device to create a complete ocean dynamic environment, it creates conditions that are extremely close to reality for communication experiments, helping researchers to accurately explore the mechanism of the impact of the ocean environment on communication signals. In a simulated ocean communication environment, a variety of communication tests are carried out, not only traversing different wave geometric characteristics for testing, but also changing the azimuth angles of the sending and receiving devices for multi-angle testing. It can obtain rich data during the communication process, providing strong support for in-depth analysis of the impact of the ocean environment on communication signals.

[0114] Corresponding to the aforementioned embodiment of an ocean channel measurement method based on an ocean dynamic anechoic chamber, the present application also provides an embodiment of an ocean channel measurement device based on an ocean dynamic anechoic chamber.

[0115] Example 2

[0116] Figure 2 This is a structural diagram of the second embodiment of the ocean channel measurement device based on the ocean dynamic darkroom provided by this application. Figure 2 , the device 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;

[0117] The monitoring module 210 is configured to monitor a first geometric feature of sea level waves in a target sea area, wherein the first geometric feature is a two-dimensional matrix including geometric features of a time dimension in a row direction and geometric features of a position latitude in a column direction;

[0118] The simulation module 220 is configured to adjust parameters of a wave-making device in an ocean dynamics chamber according to the direction of the first geometric feature, generate simulated ocean waves at various time points, and simulate the communication environment of the target sea area;

[0119] 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 located in an ocean dynamics darkroom, and the test includes: the transmitting device transmitting a test signal to the receiving device according to the target communication band; the receiving device receiving a portion of the test signal; and the absorbing material on the surface of the ocean dynamics darkroom absorbing other signals except those received by the receiving device.

[0120] 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and at different locations;

[0121] The establishing module 250 is used to establish a propagation model of the test signal in the target sea area based on the relationship.

[0122] The device of this embodiment can be used to perform Figure 1 The steps, specific implementation principles and implementation processes of the method embodiment shown are similar and will not be repeated here.

[0123] The implementation process of the functions and effects of each unit in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0124] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0125] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for measuring ocean channels based on an ocean dynamic anechoic chamber, characterized in that: The method comprises: Monitoring a first geometric feature of sea level waves in a target sea area, wherein the first geometric feature is a two-dimensional matrix including geometric features of a time dimension in a row direction and geometric features of a position latitude in a column direction; Adjusting parameters of a wave-making device in an ocean dynamics chamber according to the direction of the first geometric feature to generate simulated ocean waves at various time points, thereby simulating a communication environment in the target sea area; In the simulated communication environment of the target sea area, a communication test is performed using a transmitting device and a receiving device; the communication device and the wave-making device are both located in an ocean dynamics darkroom, and the test includes: the transmitting device sending a test signal to the receiving device according to the target communication band; the receiving device receiving a portion of the test signal; and the absorbing material on the surface of the ocean dynamics darkroom absorbs 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and at different locations; Establishing a propagation model of the test signal in the target sea area based on the relationship; After establishing the propagation model, including: Obtain the time and location information of actual communications 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 based on the input actual communication time and location information; Based on the actual propagation characteristics obtained and the characteristic parameters of the communication equipment, the signal reception direction angle and signal attenuation during the communication process are determined; According to the determined signal reception direction angle, the actual position of the receiving device is determined using the geographic coordinate system of the target sea area and the pre-set conversion relationship between the direction angle and the geographic location; According to the determined signal attenuation, the transmit power required for communication is determined by calculating or searching a pre-established database of correspondence between signal attenuation and transmit power.

2. The method according to claim 1, characterized in that The process of establishing the first geometric feature includes: Establishing a spatial coordinate system of the target sea area with the center point of the target sea area as the origin and the sea level of the target sea area as a reference; Detect the wave change information of each position coordinate in the spatial coordinate system; Extracting the change trend of the wave geometric characteristics at the position coordinate over time based on the wave change information to obtain a plurality of one-dimensional first wave data, each of which represents the wave geometric characteristics at each time point at a position coordinate; The first wave data are taken as rows, and each of the first wave data is arranged 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, characterized in that Extracting the temporal trend of wave geometric features at the position coordinates based on the wave change information includes: At any moment, obtain the image information of the waves; detecting a wave boundary based on the image information; Determine the peak coordinates and the wave width at the midpoint of the wave in the spatial coordinate system according to the boundary of the wave; Determine 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; Return to the step of obtaining wave image information according to the detection cycle.

4. The method according to claim 1, wherein The adjusting of the parameters of the wave-making device comprises: Extract basic waveform geometric parameters based on target waves; By adjusting the frequency, amplitude and phase of the motor-driven wave plate, a basic waveform matching the geometric parameters of the basic waveform is generated; For regular waves, a single-frequency modulation signal is superimposed on the basic waveform by changing the motor driving frequency and the wave plate displacement amplitude to generate regular waves; For irregular waves, a multi-frequency superposition signal is generated based on the target wave spectrum type, and a composite wave is generated by adjusting the wave plate movement timing and performing phase modulation with the basic waveform.

5. The method according to claim 1, wherein The steps of performing the communication test include: Traverse and select the geometric features 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, driving the wave-making device to generate simulated waves of corresponding time series; placing a transmitting device and a receiving device above the wave-making device; Using a transmitting device, transmitting a test signal with a first power toward a direction where the receiving device is located; The receiving device receives the test signal with a second power, where the second power is less than the first power.

6. The method according to claim 5, characterized in that The method includes using a transmitting device to transmit a test signal with a first power toward a direction where the receiving device is located, comprising: The test signal of the second power is sent to the receiving device; The first part of the test signal other than the signal received by the receiving device is directly sent to the inner wall of the ocean dynamic chamber; The 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 ocean dynamics chamber.

7. The method according to claim 1, characterized in that The processing of the test signal received by the receiving device includes: Construct a three-dimensional model of the ocean dynamic anechoic chamber communication test, which at least includes the anechoic chamber structure, wave-making device, simulated wave field, transmitting equipment, and receiving equipment; The propagation path of the test signal sent by the transmitting equipment in the ocean dynamics chamber is simulated based on the three-dimensional model; Determining a source of an interference signal received by the receiving device based on the propagation path; The interference signal is removed from the test signal received by the receiving device based on the source of the interference signal, and only the test signal received from the transmitting device is retained.

8. The method according to claim 1, characterized in that The communication test further includes: According to each position and time point of the first geometric feature, driving the wave-making device according to the wave geometric feature to simulate and generate corresponding waves; In a simulated wave environment, the azimuth between the transmitting device and the receiving device is gradually changed according to the set angle interval, based on the initial positions of the transmitting device and the receiving device. After each azimuth change, 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 each received test signal to remove interference signals; From the pure signal after interference removal, find the direction angle corresponding to the maximum received signal strength, and record this direction angle as the correspondence between the wave and the received direction angle at that position and time point.

9. 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 a setting module; The monitoring module is used to monitor the first geometric characteristics of sea level waves in the target sea area, wherein the first geometric characteristics are a two-dimensional matrix, and the two-dimensional matrix includes geometric characteristics of the time dimension in the row direction and geometric characteristics of the position latitude in the column direction; The simulation module is configured to adjust parameters of a wave-making device in an ocean dynamics chamber according to the direction of the first geometric feature, generate simulated ocean waves at various time points, and simulate the communication environment of the target sea area; The test module is used to perform a communication test using a transmitting device and a receiving device in a simulated communication environment of the target sea area; the communication device and the wave-making device are both located in an ocean dynamics darkroom, and the test includes: 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; and the absorbing material on the surface of the ocean dynamics darkroom absorbing other signals except those received by the receiving device. The processing module 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, wherein the relationship includes the relationship between the received test signal and each simulated wave at each time point and at different locations; The establishing module is used to establish a propagation model of the test signal in the target sea area based on the relationship; After establishing the propagation model, including: Obtain the time and location information of actual communications 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 based on the input actual communication time and location information; Based on the actual propagation characteristics obtained and the characteristic parameters of the communication equipment, the signal reception direction angle and signal attenuation during the communication process are determined; According to the determined signal reception direction angle, the actual position of the receiving device is determined using the geographic coordinate system of the target sea area and the pre-set conversion relationship between the direction angle and the geographic location; According to the determined signal attenuation, the transmit power required for communication is determined by calculating or searching a pre-established database of correspondence between signal attenuation and transmit power.

Images