Laser communication far field equivalent simulation and test method, device, equipment and storage medium

Abstract

The embodiment of the invention provides a laser communication far-field equivalent simulation and test method, device and equipment and a storage medium, and is applied to the technical field of laser communication, and the method comprises the steps: obtaining a simulation demand, determining a parameter type according to the simulation demand, and generating a simulation parameter; constructing an optical model based on the simulation parameters, and calculating target parameters; and according to the target parameters, driving a far-field equivalent simulation and test unit to generate a simulation and test environment so as to carry out far-field equivalent simulation and test. In this way, various complex far-field actual conditions such as a basic environment, turbulence and micro-vibration can be comprehensively simulated, conditions close to actual application scenes are provided for testing of far-field laser communication equipment and systems, operation and management of the whole simulation test process are facilitated, and simulation and test efficiency is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of laser communication technology, and in particular to a laser communication far-field equivalent simulation and testing method, device, equipment and storage medium. Background Art

[0002] Far-field testing of laser communication usually needs to be carried out in an actual far-field environment. However, the actual far-field environment requires a relatively wide site suitable for deploying equipment for testing, and the test results obtained are single. If you want to obtain test results under different climatic conditions or electromagnetic interference environments, you must select suitable locations in different environments for testing. In addition, each time the plan is modified, it is necessary to re-test. This process not only increases the testing cost and prolongs the R&D cycle, but may also lead to inaccurate test results due to the uncontrollability of environmental factors. Summary of the invention

[0003] In view of this, the present disclosure provides a laser communication far-field equivalent simulation and testing method, device, equipment and storage medium.

[0004] According to a first aspect of the present disclosure, a laser communication far-field equivalent simulation and testing method is provided, the method comprising:

[0005] Obtain simulation requirements, determine parameter types based on simulation requirements, and generate simulation parameters;

[0006] Build an optical model based on simulation parameters and calculate target parameters;

[0007] According to the target parameters, the far-field equivalent simulation and test unit is driven to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test optical signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

[0008] In some implementations of the first aspect, obtaining simulation requirements, determining parameter types according to the simulation requirements, and generating simulation parameters include:

[0009] Obtain simulation requirements, clarify the purpose of this simulation and determine the parameter type based on the simulation requirements;

[0010] The corresponding reference parameters are matched from the preset far-field database and correlation analysis is performed. According to the parameter type, reference parameters and correlation analysis results, numerical simulation calculations are performed, and simulation parameters are generated according to the calculation results.

[0011] In some implementations of the first aspect, matching corresponding reference parameters from a preset far-field database and performing correlation analysis, performing numerical simulation calculations according to parameter types, reference parameters, and correlation analysis results, and generating simulation parameters according to the calculation results include:

[0012] Match reference parameters corresponding to the parameter type from the preset far-field database, and perform correlation analysis on the matched reference parameters to determine the degree of correlation and influence relationship between different parameters;

[0013] Based on the parameter type, reference parameters and correlation analysis results, numerical simulation calculations are performed; based on the results of the numerical simulation calculations, specific simulation parameters are generated.

[0014] In some implementations of the first aspect, constructing an optical model based on simulation parameters and calculating target parameters include:

[0015] The simulation parameters are input into the pre-built geometric optical model, the geometric optical model is solved, and the target parameters are calculated; the geometric optical model includes: basic environment simulation device control model, turbulence simulation control model, micro-vibration simulation control model, integrated test device control model, and signal receiving device control model.

[0016] In some implementations of the first aspect, according to the target parameters, driving the far-field equivalent simulation and test unit to generate a simulation and test environment for performing far-field equivalent simulation and testing includes:

[0017] According to the target parameters, drive the basic environment simulation device in the far-field equivalent simulation and test unit, adjust the temperature, humidity and wind speed in the simulation and test unit to perform basic environment simulation;

[0018] According to the target parameters, the turbulence simulation device in the far-field equivalent simulation and test unit is driven to adjust the surface shape of the deformable mirror and the angle and position of the first fast reflection mirror to simulate the atmospheric turbulence;

[0019] According to the target parameters, the micro-vibration simulation device in the far-field equivalent simulation and test unit is driven to adjust the swing amplitude of the second fast reflection mirror to perform platform micro-vibration simulation;

[0020] According to the target parameters, drive the integrated test device in the far-field equivalent simulation and test unit to adjust the working parameters of the attenuator, EDFA and the first collector to prepare the test environment;

[0021] According to the target parameters, the signal receiving device in the far-field equivalent simulation and test unit is driven to adjust the sensitivity and bandwidth of the detector, the direction and position of the receiver and the working parameters of the second collector to receive the optical signal after passing through the simulated environment;

[0022] This generates a simulation and test environment to facilitate far-field equivalent simulation and testing of the device under test.

[0023] In some implementations of the first aspect, the optical window is an aspherical AR-coated window, and the window thickness is 1-3 mm.

[0024] According to a second aspect of the present disclosure, a laser communication far-field equivalent simulation device is provided, the device comprising:

[0025] The first processing module is used to obtain simulation requirements, determine parameter types according to the simulation requirements, and generate simulation parameters;

[0026] A second processing module is used to construct an optical model based on the simulation parameters and calculate the target parameters;

[0027] The third processing module is used to drive the far-field equivalent simulation and test unit according to the target parameters to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test light signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

[0028] According to a third aspect of the present disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described above.

[0029] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, where the computer instructions are used to cause a computer to execute the method described above.

[0030] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program implements the method described above when executed by a processor.

[0031] In the present disclosure, by clarifying the simulation requirements, matching the reference parameters and performing correlation analysis, the simulation parameters are generated through numerical simulation calculations, and the target parameters are calculated by constructing an optical model based on the simulation parameters, thereby providing accurate basic data for subsequent simulation tests; based on the target parameters, simulation and testing are performed through a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device, and various devices are integrated into a far-field equivalent simulation and test unit, which can more comprehensively simulate various complex far-field actual conditions such as basic environment, turbulence, micro-vibration, etc., and provide conditions close to actual application scenarios for the testing of far-field laser communication equipment and systems, facilitate the operation and management of the entire simulation test process, improve test efficiency, and enable researchers to discover and solve problems that may be encountered in actual applications of equipment in advance in a laboratory environment, thereby effectively shortening the R&D cycle and reducing R&D costs; at the same time, it is convenient for researchers to study the propagation characteristics and communication performance of lasers under different far-field conditions, and explore improved communication protocols, coding methods and signal processing algorithms.

[0032] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0034] Figure 1 A flowchart of a laser communication far-field equivalent simulation and testing method provided by an embodiment of the present disclosure is shown;

[0035] Figure 2 A schematic diagram of a laser communication far-field equivalent simulation and testing method provided by an embodiment of the present disclosure is shown;

[0036] Figure 3 A block diagram of a laser communication far-field equivalent simulation and testing device according to an embodiment of the present disclosure is shown;

[0037] Figure 4 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0039] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0040] In response to the problems mentioned in the background technology, the present disclosure provides a laser communication far-field equivalent simulation and testing method, device, equipment and storage medium.

[0041] Specifically, simulation requirements are obtained, and according to the simulation requirements, parameter types are determined and simulation parameters are generated; an optical model is constructed based on the simulation parameters, and target parameters are calculated; according to the target parameters, a far-field equivalent simulation and test unit is driven to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test optical signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

[0042] In this way, various devices can be integrated into the far-field equivalent simulation and test unit to more comprehensively simulate various complex far-field actual conditions such as basic environment, turbulence, micro-vibration, etc., providing conditions close to actual application scenarios for the testing of far-field laser communication equipment and systems, facilitating the operation and management of the entire simulation test process, improving simulation and testing efficiency, effectively shortening the R&D cycle, and reducing R&D costs.

[0043] The following is a further description of a laser communication far-field equivalent simulation and testing method, device, equipment and storage medium provided by the present invention based on the accompanying drawings and specific embodiments.

[0044] Figure 1 A flowchart of a laser communication far-field equivalent simulation and testing method provided by an embodiment of the present disclosure is shown; Figure 2 A schematic diagram of a laser communication far-field equivalent simulation and testing method provided by an embodiment of the present disclosure is shown.

[0045] like Figure 1As shown, the laser communication far-field equivalent simulation and testing method 100 may include the following steps:

[0046] S110, obtaining simulation requirements, determining parameter types according to the simulation requirements, and generating simulation parameters.

[0047] Specifically, obtain simulation requirements, clarify the purpose of this simulation and determine parameter types according to the simulation requirements; match corresponding reference parameters from a preset far-field database and perform correlation analysis; perform numerical simulation calculations according to parameter types, reference parameters and correlation analysis results, and generate simulation parameters according to the calculation results; further:

[0048] Obtain the simulation requirements of the device to be tested, and clarify the purpose of this simulation based on the simulation requirements, for example, test the communication quality, bit error rate, compensation algorithm performance, dynamic range, etc. of the device in various typical environments to optimize the device or algorithm; to evaluate the reliability of existing links, analyze the interruption probability, signal attenuation, and recovery time of the link under severe weather conditions, and provide a basis for maintenance and improvement; to study the adaptability under different communication distances and transmission rates, determine the optimal working state and performance boundaries of the device under different parameter combinations.

[0049] According to the clear simulation purpose, determine the required parameter type, which covers all aspects of the laser communication system and related factors of the simulation environment. Parameter types can specifically include:

[0050] Laser parameters include but are not limited to: wavelength, transmission power, beam divergence angle, polarization state, etc.; among them, the transmission power directly affects the communication distance and signal strength; the beam divergence angle determines the degree of diffusion of the light beam during the transmission process; the polarization state may affect the transmission and reception of the signal, especially in systems with polarization-related losses.

[0051] Atmospheric environmental parameters include, but are not limited to, atmospheric temperature, humidity, wind speed, turbulence intensity (e.g., refractive index structure constant), etc.; atmospheric temperature and humidity will affect the refractive index of light, thereby affecting the propagation path of the light beam; wind speed will cause the flow and fluctuation of the atmosphere, causing shearing and disturbance effects on the propagation of the light beam, especially in the presence of wind shear, the propagation direction and spot shape of the light beam will change, increasing the instability of the light beam during transmission; turbulence intensity is a key parameter for simulating the interference of atmospheric turbulence on the light beam, which will cause phenomena such as light beam flickering, phase distortion, and arrival angle fluctuations.

[0052] Communication link parameters include but are not limited to: communication distance, receiving port diameter, detector sensitivity, etc.; communication distance is an important parameter of laser communication, which is closely related to transmission power, receiving sensitivity, etc., and directly affects the degree of signal attenuation; the size of the receiving port diameter determines the amount of received optical power. The larger the diameter, the stronger the received optical signal; the detector sensitivity determines the minimum optical power that can be detected, affecting the receiving performance of the system.

[0053] The length of simulation time includes, but is not limited to: determining the time range required for simulation based on the purpose of the simulation. For example, to study the performance changes of a laser communication system at different times of the day, a 24-hour simulation may be required; to evaluate the short-term response of equipment under sudden severe weather conditions, a simulation may only require a few hours or even minutes.

[0054] The data collection time interval includes, but is not limited to: determining the appropriate data collection time interval based on the degree of dynamic change of the simulation and the requirements of subsequent data analysis. For parameters that change rapidly, such as light intensity flicker caused by atmospheric turbulence, a millisecond-level collection interval may be required; for relatively stable parameters, such as ambient temperature and humidity, the collection interval can be appropriately extended, such as several minutes or tens of minutes.

[0055] The propagation direction and angle of the beam include but are not limited to: determining the propagation direction of the laser beam in space and the possible angle variation range, which is very important for simulating the scattering and reflection of the beam in different environments and the capture and tracking performance of the receiver. For example, in the presence of wind disturbance or platform vibration, the propagation direction of the beam will change, and it is necessary to consider the beam propagation within a certain angle range.

[0056] Furthermore, the corresponding reference parameters are matched from the preset far-field database and correlation analysis is performed, and numerical simulation calculations are performed according to the parameter type, reference parameters and correlation analysis results, and simulation parameters are generated according to the calculation results, including:

[0057] Match reference parameters corresponding to the parameter type from the preset far-field database, and perform correlation analysis on the matched reference parameters to determine the degree of association and influence relationship between different parameters; perform numerical simulation calculations based on the parameter type, reference parameters and correlation analysis results; generate specific simulation parameters based on the results of the numerical simulation calculations; more specifically:

[0058] Collect historical data, theoretical model parameters and experimental measurement results related to far-field laser communication, clean and remove noise, interpolate and normalize the data, and build a far-field database.

[0059] According to the determined parameter type, match it in the far-field database to obtain the corresponding reference parameters, for example:

[0060] When the parameter type is the laser emission power at a specific wavelength, the database is searched for relevant data such as different emission power levels at similar wavelengths and the corresponding communication effects, environmental impacts, etc.

[0061] For atmospheric turbulence intensity parameters, reference values ​​of turbulence intensity measured or simulated under different geographical environments and weather conditions, as well as the related beam propagation characteristic data, are found in the database.

[0062] When matching communication link parameters, obtain reference data in the database about signal attenuation, bit error rate, etc. under different device configurations and environmental factors at far-field distances.

[0063] Furthermore, a variety of data analysis methods and physical models can be used in combination to perform correlation analysis on the matched reference parameters to determine the degree of association and mutual influence between different parameters. The data analysis method can adopt multiple linear regression analysis, principal component analysis, time series analysis, etc. The physical model can adopt an atmospheric turbulence model (such as Kolmogorov turbulence model, Von Karman turbulence model), a light propagation model, etc. (such as a geometric optics model, a wave optics model); illustratively:

[0064] Using the multivariate linear regression analysis method, a comprehensive model of the receiving end signal strength under different environmental conditions and the laser transmission power, communication distance and other relevant atmospheric environmental parameters is established. By comparing and analyzing the models, it can be found that different environmental factors have a regulatory effect on the relationship between the transmission power and the receiving end signal strength.

[0065] Using theoretical models and historical actual measurement data, a mathematical relationship between turbulence intensity and beam quality parameters is established, and the degree of quantitative correlation between them is determined. Through experimental data fitting, it is obtained that for every unit increase in turbulence intensity, the beam scintillation index increases by a certain proportion. This is used to analyze the correlation between laser emission power and communication distance, and signal strength at the receiving end, and to study the correlation between atmospheric turbulence intensity and beam scintillation index and arrival angle fluctuations.

[0066] In addition to obtaining simple quantitative relationships through fitting experimental data, time series analysis methods can also be used to study the temporal variation patterns and correlations of these parameters. Long time series of atmospheric turbulence intensity and beam quality parameter data are collected. After stationarity test and differential processing of the data, the autoregressive moving average (ARMA) model or the autoregressive integrated moving average (ARIMA) model is used for analysis. By establishing an ARMA or ARIMA model, the future variation trends of the beam scintillation index and arrival angle fluctuations under different turbulence intensities can be predicted, and the lagged correlation between them can be analyzed to find the impact of the current turbulence intensity change on the beam scintillation index after several time points in the future. At the same time, combined with the physical models of atmospheric turbulence, Kolmogorov or Von Karman, the physical phenomena reflected in the time series analysis results can be theoretically explained, and the correlation between atmospheric turbulence and beam quality parameters can be further analyzed.

[0067] The multivariate linear regression analysis method is used to determine the specific functional relationship between temperature and humidity and the atmospheric refractive index, as well as the impact of this relationship on the propagation path and phase of the laser beam, so as to analyze the correlation between ambient temperature, humidity and the atmospheric refractive index.

[0068] The correlation analysis between other parameters can also be performed by the above method, and the present disclosure will not elaborate on them one by one here.

[0069] After the correlation analysis is completed, the parameter type, reference parameter and correlation analysis result are used as input to perform numerical simulation calculations to generate simulation parameters; the numerical simulation calculations can be completed using OptiSystem, OptiFDTD, VirtualLab Fusion software or calculation models.

[0070] For the far-field equivalent simulation of laser communication, OptiSystem can simulate the propagation characteristics of laser in free space transmission medium according to the input parameter type and reference parameters; for example, when considering the influence of atmospheric environment on laser propagation, the diffraction, interference and scattering process of laser beam in the atmosphere can be simulated by setting the atmospheric refractive index distribution model, and the intensity distribution and phase change of the beam at different distances and directions can be calculated. At the same time, OptiSystem can also cooperate with other Optiwave software.

[0071] OptiFDTD is an electromagnetic field simulation software based on the finite-difference time-domain method (FDTD). It is particularly suitable for simulating the microscopic process of the interaction between light and matter. In laser communications, it can be used to simulate the propagation of laser beams in complex atmospheric environments, including the simulation of beam phase disturbances and light intensity flickering effects caused by atmospheric turbulence. By discretizing and solving the Maxwell equations in space and time, the propagation details of the laser beam in the atmosphere are captured; for example, the reflection, refraction and scattering of the light beam when encountering different refractive index regions, as well as the rapid phase changes caused by turbulence. When simulating atmospheric turbulence, OptiFDTD can be used to generate a random turbulent medium model, set the refractive index fluctuation characteristics of the medium according to the turbulence intensity parameters and correlation analysis results, and then simulate the propagation of the laser beam in the turbulent medium multiple times to obtain the average propagation characteristics and statistical distribution parameters of the light beam in a turbulent environment.

[0072] VirtualLab Fusion is a comprehensive optical simulation software that uses field tracing technology to effectively handle the propagation of laser beams in the atmosphere. VirtualLab Fusion takes into account the effects of the atmospheric layered structure, temperature, humidity and wind speed changes at different altitudes on the refractive index. Through the parameter setting function, it can simulate the propagation path and spot evolution of the beam in the atmosphere according to the input laser parameters and atmospheric environmental parameters. When simulating atmospheric turbulence, VirtualLab Fusion can simulate the beam phase distortion and light intensity flicker caused by turbulence based on the principles of statistical optics, combined with the actual turbulence spectrum model, Kolmogorov spectrum or Von Karman spectrum. At the same time, it can also be integrated with the detector model, considering the detector's sensitivity, noise characteristics, and signal modulation methods, and other factors to simulate the signal detection process and bit error at the receiving end.

[0073] The computational model can be an atmospheric propagation model or a communication system performance model.

[0074] The atmospheric propagation model can be based on the basic principles of wave optics and atmospheric physics, taking into account the layered structure of the atmosphere, and divide the atmosphere into different layers. Each layer has different temperature, humidity, pressure and refractive index distribution. For each layer, the propagation equation of light in the layer is derived according to the Maxwell equations and the electromagnetic properties of matter. When calculating the diffraction, interference and scattering of the light beam, an approximate method is used to calculate the light intensity distribution and phase change of the light beam after passing through each layer of the atmosphere at different distances and directions according to parameters such as the wavelength, emission power and beam divergence angle of the laser. At the same time, considering the influence of atmospheric turbulence, the random fluctuation of the refractive index caused by turbulence is added to the propagation model, and the phase disturbance of the light beam caused by turbulence is simulated by a random phase screen or a turbulence spectrum model. By simulating different turbulence multiple times, the average propagation characteristics and statistical distribution parameters of the light beam in a turbulent environment are statistically obtained, so as to establish a custom laser propagation model in the atmosphere.

[0075] The communication system performance model can be based on communication theory and signal processing principles, and consider the laser transmitter, transmission link and receiving end as a whole. At the transmitter, a modulated optical signal is generated according to the input laser parameters and signal modulation method. In the transmission link, the calculated beam propagation characteristics are combined to consider the influence of atmospheric attenuation, scattering and turbulence on the signal, and simulate the distortion and noise introduction of the signal during transmission. At the receiving end, the received optical signal is processed according to the sensitivity, noise characteristics and signal demodulation algorithm of the detector, and performance indicators such as bit error rate, signal-to-noise ratio and transmission rate are calculated. By continuously optimizing the various parameters and algorithms in the model, it can accurately reflect the performance of the actual laser communication system, thereby establishing a customized laser communication system performance calculation model.

[0076] Furthermore, you can:

[0077] Using OptiFDTD and the atmospheric propagation model, the laser beam propagation process in the atmosphere is considered. The parameters such as the laser wavelength λ, the emission power P and the beam divergence angle θ, as well as the atmospheric environment temperature T, humidity H and wind speed v obtained by correlation analysis, according to the principle of wave optics, the relationship between the light intensity distribution I and the distance r can be approximately expressed as follows: Among them, I0 is the initial light intensity, ɑ is the coefficient related to atmospheric absorption and scattering, and ɑ is related to temperature, humidity and wind speed. It can be set that ɑ=a(T-T0)+b(H-H0)+cv (a, b, c are coefficients determined by experiments or theory, T0 and H0 are reference temperature and humidity values).

[0078] The relationship between the atmospheric refractive index n and the temperature T and humidity H can be approximately expressed as: n = 1 + A (T-T0) + B (H-H0) (A and B are known coefficients), the phase change The relationship between the refractive index change Δn and the propagation distance r is:

[0079] Through the above calculations, we can obtain the light intensity distribution and phase change at different distances and directions. By fitting the light intensity data at different distances, we can obtain the specific relationship between the light intensity attenuation coefficient and distance, the quantitative relationship between light intensity and atmospheric environmental parameters under different environmental conditions, the relationship between phase change and atmospheric environmental parameters, and the influence of wind speed on light intensity and phase. We can further determine the appropriate basic environmental simulation parameters.

[0080] OptiFDTD combined with the phase screen method is used to calculate the turbulence intensity parameter The turbulence characteristics obtained by correlation analysis are used to simulate the phase disturbance and light intensity flickering effect of turbulence on the light beam. Through multiple simulations, the average propagation characteristics and statistical distribution parameters of the light beam in a turbulent environment are statistically obtained to generate turbulence simulation parameters. Specifically, the number of phase screens is set to N, the interval is ΔZ, and the refractive index fluctuation amplitude of the phase screen is:

[0081] Where L0 is the correlation length and K is the refractive index structure constant.

[0082] The laser beam was simulated multiple times in a turbulent environment. In each simulation, the laser beam passed through the set phase screen in turn. The phase and intensity of the beam were affected by the phase screen and changed. Through multiple simulations, the average intensity attenuation rate of the beam in a turbulent environment was statistically obtained as The standard deviation of the phase disturbance is

[0083] The above average propagation characteristics and statistical distribution parameters are the turbulence simulation parameters. For example, during the simulation, the surface shape change control instruction of the deformable mirror can be adjusted according to the average light intensity attenuation rate, etc. Assuming that the control coefficient of the deformable mirror is K d , then the surface shape change is The first fast mirror angle and direction adjustment control instructions can be adjusted according to the standard deviation of the phase disturbance. Assuming that the control coefficient of the fast mirror is k f , then the angle adjustment is

[0084] The sine wave is used to generate the algorithm model, according to the platform vibration frequency f v , Amplitude A v , directional parameters and platform vibration characteristics obtained by correlation analysis, simulate the micro-vibration of the platform, analyze the influence of various factors on the micro-vibration of the platform, and generate micro-vibration simulation parameters. Specifically, construct a sine wave function: y(t) = A v sin(2πf v +θ v), where t is time; analyze the influence of factors such as the mass and elastic coefficient of the platform on the vibration, and according to the natural frequency of the vibration Let f0 and f v By comparison, it is determined that the vibration type belongs to forced vibration (f v ≠f0) or free vibration (f v =f0 and no external force continues to act), and the corresponding micro-vibration simulation parameters are generated according to the judgment results.

[0085] Using OptiSystem or the communication system performance model, combined with laser parameters (wavelength λ, transmission power P, beam divergence angle θ), link parameters (communication distance d, receiving port diameter D, detector sensitivity S) and beam propagation characteristics, the communication system's bit error rate, signal-to-noise ratio, transmission rate and other performance indicators are calculated. The sensitivity of the detector, noise characteristics and signal modulation methods are fully considered, and the signal processing process and bit error conditions at the receiving end are simulated. By simulating the performance of the communication system under different parameter combinations, the impact of various factors on the communication quality is analyzed to generate integrated test parameters and signal reception parameters. Specifically, the relationship between the bit error rate BER and the signal-to-noise ratio SNR can be approximately expressed as When calculating the signal-to-noise ratio, the attenuation of the optical signal during transmission is taken into account. The attenuation formula of the optical signal power during transmission is P received =Pe -αd ; where ɑ is a coefficient related to atmospheric absorption and scattering, turbulence and other factors. The optical power received by the detector is related to the sensitivity of the detector. If the power received by the detector is lower than the sensitivity, the bit error rate will increase significantly. If the noise power of the detector is N, then the signal-to-noise ratio

[0086]

[0087] According to the above calculation, performance indicators such as bit error rate and signal-to-noise ratio can be obtained. According to the relationship between the bit error rate and the attenuation value of the attenuator and the gain value of the EDFA, the attenuation value of the attenuator and the gain value of the EDFA can be adjusted. At the same time, the collection frequency, resolution and measurement range of the first collector are generated according to the characteristics of the optical signal.

[0088] Furthermore, according to the detector sensitivity and bandwidth requirements, as well as the receiving angle range, combined with the optical signal propagation characteristics, the detector sensitivity characteristic curve and the current signal-to-noise ratio can generate the detector bias voltage or gain parameters, and according to the bandwidth requirements, the detector bandwidth parameters can be generated, and according to the receiving angle range and the optical signal propagation direction, the receiver direction adjustment parameters can be determined, and according to the optical signal characteristics and test requirements, the second collector operating parameters such as acquisition frequency, resolution, measurement range, etc. can be generated.

[0089] According to the embodiments of the present disclosure, the simulation purpose is first clarified to determine the parameter type, so that the generation of simulation parameters is more targeted and can be carried out closely around actual needs. Reference parameters are matched from the far-field database and correlation analysis is performed, which provides a more accurate data basis and theoretical basis for subsequent numerical simulation calculations, and improves the scientificity and rationality of the simulation parameters; the correlation analysis takes into account the relationship and influence between different parameters, avoids the limitations of single parameter considerations, and can more comprehensively reflect the complexity of the far-field environment of laser communication, thereby generating simulation parameters that are more in line with actual conditions and improving the accuracy and effectiveness of the simulation; numerical simulation calculations are performed based on accurate parameter analysis to ensure the reliability of the calculation results, and the specific simulation parameters generated can more realistically simulate the far-field environment, providing high-quality parameter support for subsequent simulation tests.

[0090] S120, constructing an optical model based on the simulation parameters and calculating target parameters.

[0091] Specifically, the simulation parameters are input into a pre-built geometric optical model, the geometric optical model is solved, and the target parameters are calculated; more specifically:

[0092] According to the manufacturing precision parameters of the actual equipment, a geometric optical model is pre-built, which includes: basic environment simulation device control model, turbulence simulation control model, micro-vibration simulation control model, integrated test device control model, and signal receiving device control model.

[0093] For the control model of the basic environment simulation device, PID control algorithm and linear interpolation algorithm are selected to establish a model with the atmospheric environment temperature and humidity in the simulation parameters and the temperature and humidity adjustment range and accuracy of the basic environment simulation device; the wind speed requirements in the simulation parameters and the performance parameters of the wind speed adjustment system in the basic environment simulation device as input; the instructions required by the temperature and humidity controller and the instructions required by the wind speed controller as output.

[0094] For the turbulence simulation control model, the atmospheric turbulence intensity, correlation length, refractive index structure constant and technical specifications of the turbulence simulation device in the simulation parameters are taken as input, and the deformable mirror surface shape change control instructions and the first fast reflex mirror angle and direction adjustment control instructions are taken as output; the wavefront reconstruction algorithm and statistical analysis algorithm are used to establish the deformable mirror control model, and the Zernike polynomials are used to fit the wavefront phase; the Monte Carlo simulation method is used to establish the fast reflex mirror angle adjustment calculation model.

[0095] For the micro-vibration simulation control model, the platform vibration frequency, amplitude, direction and performance parameters of the micro-vibration simulation device in the simulation parameters are taken as input; the driving signal parameters of the second fast reflection mirror are taken as output; and the sine wave generation algorithm is used to construct a sine wave function model, namely the micro-vibration simulation control model.

[0096] For the integrated test device control model, the optical signal wavelength, power setting value, attenuation parameter and the working range and accuracy of the integrated test device in the simulation parameters are taken as input, and the attenuator control instructions, EDFA gain control instructions and the first collector working parameter control instructions are taken as output; based on the attenuator control algorithm, EDFA gain control algorithm, the first collector parameter configuration algorithm and PID control algorithm, a feedback control algorithm and a parameter calculation model, namely the integrated test device control model, are constructed.

[0097] For the signal receiving device control model, the optical signal receiving sensitivity requirements, bandwidth requirements, receiving angle range and performance indicators of the signal receiving device in the simulation parameters are taken as input, and the detector bias voltage or gain setting instructions, detector bandwidth control instructions, receiver direction adjustment instructions, and second collector working parameter control instructions are taken as outputs. The signal receiving device control model is constructed by using the detector sensitivity analysis and control algorithm, automatic gain control algorithm, detector bandwidth adjustment algorithm, receiver direction adjustment algorithm and second collector working parameter adjustment optimization algorithm.

[0098] Since some contents of the specific model construction process are complicated and lengthy and technical personnel in this field should be able to understand the specific model construction process when seeing the relevant technical contents provided in this disclosure, this disclosure will not elaborate on the specific model construction process.

[0099] Furthermore, before inputting the simulation parameters into the model, the data needs to be preprocessed. For some continuously changing parameters, such as the time-varying curves of atmospheric temperature and humidity, data smoothing technology can be used to remove noise and short-term fluctuations in the data to extract information that better reflects the actual physical change trend; for discrete parameter data, check whether there are missing values ​​or unreasonable values ​​so as to perform interpolation processing or eliminate outliers.

[0100] The values ​​of the preprocessed simulation parameters are assigned one by one to the corresponding variables or object attributes of the corresponding model in the geometric optics model. According to the physical characteristics of the target parameters to be calculated in the geometric optics model, the model is solved by numerical calculation, control theory method, wavefront reconstruction algorithm, etc., and the target parameters, i.e., control parameters / instructions, are calculated, as follows:

[0101] According to the temperature and humidity set values ​​of the atmospheric environment obtained from the simulation parameters, as well as the temperature and humidity adjustment range, accuracy and other performance parameters of the basic environment simulation device, PID control combined with the linear difference calculation method is used to solve the model and calculate the control instructions of the temperature, humidity and wind speed controller. Specifically, for temperature control, according to the difference between the current temperature of the basic environment simulation device and the set temperature, the preliminary control signal is calculated through the proportional term in the PID control algorithm. The proportional coefficient is set according to the temperature adjustment characteristics of the basic environment simulation device. The integral term is used to eliminate the steady-state error. The control signal is adjusted according to the integral of the temperature deviation to ensure that the final temperature can accurately reach the set value. The differential term considers the rate of temperature change and adjusts the control signal in advance to avoid temperature overshoot. When calculating the control instruction of the humidity controller, PID control is used, combined with the current humidity information fed back by the basic environment simulation device, and compared with the set humidity, the instruction to control the operation of the humidifier or dehumidifier is calculated. For the wind speed controller, a linear difference calculation method is used. According to the wind speed information in the simulation parameters and the performance parameters of the wind speed regulation system in the basic environment simulation device, the adjustment amount of the fan speed is calculated through the difference between the current wind speed and the target wind speed, thereby obtaining the control instruction of the wind speed controller.

[0102] According to the data of atmospheric turbulence intensity, correlation length, refractive index structure constant and technical specifications of turbulence simulation device in simulation parameters, wavefront reconstruction algorithm is used in combination with statistical analysis and Monte Carlo simulation method to solve the model and calculate the control instructions of turbulence simulation controller. Specifically, turbulence characteristic parameters such as atmospheric turbulence intensity, correlation length and refractive index structure constant are obtained from simulation parameters, and statistical analysis method is used to establish a statistical model of turbulence based on these parameters to determine the influence characteristics of turbulence on beam wavefront, and wavefront reconstruction algorithm is used to calculate the required surface shape change of deformable mirror based on the statistical model of turbulence. Specifically, Zernike polynomial is used to fit the wavefront phase, and the coefficients of Zernike polynomial are determined according to the statistical characteristics of turbulence, and then these coefficients are converted into the expansion and contraction amount of deformable mirror actuator, so that the deformable mirror can simulate the corresponding turbulent wavefront distortion. For the adjustment of the angle of the fast mirror, the Monte Carlo simulation method is combined to simulate the propagation paths of a large number of light beams in turbulence, and the directional changes of the light beams in each simulation are recorded. By performing statistical analysis on these directional change data, parameters such as the average directional offset and the standard deviation of the directional offset are determined. Based on these statistical parameters and the angle adjustment range and accuracy of the fast mirror, the angle and direction that the fast mirror needs to be adjusted are calculated, and the corresponding control instructions are generated, so that the fast mirror can simulate the random disturbance of turbulence on the direction of the light beam.

[0103] According to the platform vibration frequency, amplitude, direction and characteristic parameters of the micro-vibration simulation device in the simulation parameters, the model is solved by combining parameter matching with a sine wave generation algorithm to calculate the control instructions of the micro-vibration simulation controller. Specifically, the platform vibration frequency, amplitude and direction parameters are obtained from the simulation parameters, and the parameter matching analysis is performed in combination with the performance parameters of the micro-vibration simulation device, namely, the swing frequency range, amplitude range, driving mode, etc. of the second fast reflex mirror. The platform vibration in the simulation parameters is compared with the characteristic parameters of the micro-vibration simulation device. Within the performance range of the second fast reflex mirror, the driving signal parameters of the second fast reflex mirror are calculated by using a sine wave generation algorithm. For the given frequency, amplitude and direction of the simulation parameters, and the known micro-vibration simulation device adopts a sine wave driving mode, the frequency of the sine wave signal to be applied to the second fast reflex mirror driving mechanism is calculated by setting the parameters of the sine wave function; according to the amplitude response characteristics of the fast reflex mirror and the required swing amplitude, the corresponding voltage or current value is determined to achieve the swing amplitude, and at the same time, the phase control signal of the driving motor is adjusted to achieve micro-vibration simulation in a specified direction.

[0104] According to the wavelength, power, and attenuation requirements of the optical signal in the simulation parameters, combined with the working range and accuracy of the integrated test device, the model is solved by combining parameter matching with feedback control to calculate the control instructions of the integrated test device controller. Specifically, the wavelength, power setting value, and attenuation requirements of the optical signal are obtained from the simulation parameters. According to the power setting value and attenuation requirements of the optical signal, the control instructions of the attenuator are calculated by the feedback control algorithm, the power of the input optical signal is monitored in real time, and the attenuation value of the attenuator to be set is calculated according to the control characteristics of the attenuator by comparing with the target attenuation value, and the corresponding control instructions are generated to adjust the variable resistance inside the attenuator to achieve the specified attenuation. At the same time, the power of the output optical signal is continuously monitored, and feedback adjustment is performed according to the actual attenuation situation to ensure that the attenuation accuracy is within the preset range. According to the power information of the optical signal and the actual power after attenuation, the gain control algorithm is used to calculate the gain control instructions of the EDFA, the power of the output optical signal is monitored in real time, and the control parameters are continuously adjusted by comparing with the target power to generate corresponding control instructions so that the EDFA outputs the required optical power and ensures that the gain control accuracy is within the set range. According to the wavelength and power range of the optical signal, a parameter configuration algorithm is used to set the control instructions for parameters such as acquisition frequency, resolution and measurement range, so that the first collector can accurately collect relevant parameters of the optical signal and meet the signal acquisition requirements in processes such as optical power testing, bit error rate testing and dynamic range testing.

[0105] According to the optical signal receiving sensitivity requirements, bandwidth requirements, receiving angle range and other data in the simulation parameters combined with the performance indicators of the signal receiving device, the model is solved by combining parameter matching with optimization algorithms to calculate the control instructions of the controller of the signal receiving device. Specifically, the optical signal receiving sensitivity requirements, bandwidth requirements and receiving angle range are obtained from the simulation parameters, and the performance indicators of the detector, receiver and second collector in the signal receiving device are combined. According to the receiving sensitivity requirements, the bias voltage or gain setting instructions of the detector are calculated by using a sensitivity analysis algorithm. By modeling and analyzing the sensitivity characteristic curve of the detector, considering the quantum efficiency and noise characteristics of the detector and other factors, according to the working principle and circuit model of the detector, the bias voltage or gain value to be set is calculated, and the corresponding control instructions are generated so that the detector can work at this sensitivity. At the same time, the output signal of the detector is monitored in real time, and feedback adjustment is made according to the deviation between the actual receiving sensitivity and the target value, and the bias voltage or gain setting is optimized to ensure that the detector always maintains the required sensitivity level. According to the bandwidth requirements, the bandwidth adjustment algorithm is used to set the bandwidth control instructions of the detector, analyze the bandwidth adjustment method of the detector, adjust the internal filter circuit or amplifier parameters, and establish the bandwidth model of the detector. Considering factors such as the cutoff frequency of the filter and the bandwidth gain of the amplifier, the corresponding control parameters are calculated and control instructions are generated to make the bandwidth of the detector meet the requirements. During the adjustment process, the output signal spectrum of the detector is monitored in real time, and feedback adjustment is performed based on the deviation between the actual bandwidth and the target bandwidth to optimize the bandwidth control parameters and ensure that the bandwidth of the detector is stable within the required range. According to the receiving angle range, the angle optimization algorithm is used to calculate the direction adjustment instructions of the receiver, and the characteristics and mechanical structure of the receiver are analyzed to determine its adjustable angle range and accuracy. According to the requirements of the receiving angle range, combined with the propagation direction of the optical signal and the position relationship of the receiver, the receiving power and signal-to-noise ratio of the optical signal at different angles are calculated to determine the optimal receiving angle. According to the driving mechanism and control method of the receiver, the direction angle and displacement that need to be adjusted are calculated, and the corresponding control instructions are generated so that the receiver can accurately align with the source direction of the optical signal to improve the receiving efficiency and signal quality. At the same time, considering the influence of factors such as atmospheric turbulence and platform micro-vibration on the propagation direction of the optical signal, the arrival angle changes of the optical signal are monitored in real time, and dynamic adjustments are made according to actual conditions to ensure that the receiver always maintains the optimal receiving angle.According to the characteristics of the optical signal and the test requirements, the data acquisition optimization algorithm is used to set the control instructions of the working parameters of the second collector. According to the wavelength and power range of the optical signal, the measurement range and resolution of the second collector are determined. Considering the modulation mode and bandwidth requirements of the signal, the acquisition frequency and sampling rate are set. By analyzing the performance indicators and interface protocols of the second collector, the corresponding configuration instructions are generated so that the second collector can accurately collect the relevant parameters of the electrical signal output by the detector. At the same time, combined with the data processing and analysis requirements, the data storage method and transmission protocol are set to ensure that the collected data can be processed and analyzed in a timely and accurate manner. During the test process, according to different test items, such as optical power test, bit error rate test, dynamic range test, etc., the working parameters of the second collector are dynamically adjusted to meet various test requirements.

[0106] Furthermore, the computational graph optimization method can be used to represent the computational process of the entire geometric optics model as a computational graph. According to the dependencies between the computational tasks of each sub-model shown in the computational graph, the computational graph can be topologically sorted, nodes merged, and redundant computations eliminated to optimize the computational process and reduce unnecessary computations and data transmission.

[0107] According to the embodiments of the present disclosure, a geometric optical model is adopted and simulation parameters are input to solve and calculate the target parameters, so that target parameters that are more consistent with the actual situation can be accurately calculated. The calculated target parameters are an important basis for subsequently driving various simulation devices to perform simulation and testing. Accurate and true target parameters can ensure the accuracy and authenticity of the simulation environment, thereby providing reliable conditions for the testing of laser communication equipment.

[0108] S130, driving the far-field equivalent simulation and test unit according to the target parameters to generate a simulation and test environment for performing far-field equivalent simulation and testing.

[0109] Among them, the far-field equivalent simulation and test unit is provided with an optical window for the test light signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

[0110] Specifically, according to the execution instructions in the target parameters, the far-field equivalent simulation and test unit is driven to generate a simulation and test environment so as to perform far-field equivalent simulation and test, including:

[0111] According to the execution instructions in the target parameters, the basic environment simulation device in the far-field equivalent simulation and test unit is driven to adjust the temperature, humidity and wind speed in the simulation and test unit to perform basic environment simulation;

[0112] According to the execution instructions in the target parameters, the turbulence simulation device in the far-field equivalent simulation and test unit is driven to adjust the surface shape of the deformable mirror and the angle and position of the first fast reflection mirror to simulate the atmospheric turbulence;

[0113] According to the execution instructions in the target parameters, the micro-vibration simulation device in the far-field equivalent simulation and test unit is driven to adjust the swing amplitude of the second fast reflection mirror to perform platform micro-vibration simulation;

[0114] According to the execution instructions in the target parameters, drive the integrated test device in the far-field equivalent simulation and test unit to adjust the working parameters of the attenuator, EDFA and the first collector to prepare the test environment;

[0115] According to the execution instructions in the target parameters, the signal receiving device in the far-field equivalent simulation and test unit is driven to adjust the sensitivity and bandwidth of the detector, the direction and position of the receiver and the working parameters of the second collector to receive the optical signal after passing through the simulated environment;

[0116] This generates a simulation and test environment to facilitate far-field equivalent simulation and testing of the device under test.

[0117] More specifically:

[0118] The basic environment simulation device includes:

[0119] The temperature control system includes a temperature sensor, a heater, a refrigerator, and a temperature controller; the humidity control system includes a humidity sensor, a humidifier, a dehumidifier, and a humidity controller; the wind speed adjustment system includes a wind speed sensor, a fan, and a fan controller.

[0120] The turbulence simulation device includes:

[0121] A deformable mirror with multiple independently controllable actuators that can change the shape of the mirror; a first fast-reflection mirror with a fast-response drive mechanism that can accurately adjust the angle and position of the mirror; a turbulence controller that generates control signals to drive the deformable mirror and the first fast-reflection mirror; and a Shack-Hartmann wavefront sensor that monitors the simulated turbulence effects in real time.

[0122] The micro-vibration simulation device includes:

[0123] The second fast reflex mirror is equipped with a fast-response driving mechanism capable of realizing fast small-angle swing; the vibration controller generates a control signal to drive the second fast reflex mirror to simulate micro-vibration; the acceleration sensor is used to monitor the vibration state of the second fast reflex mirror and provide feedback information.

[0124] The integrated test setup includes:

[0125] The attenuator is used to adjust the intensity attenuation of the optical signal; the EDFA (erbium-doped fiber amplifier) ​​is used to amplify the optical signal; the first collector is used to collect relevant parameters of the optical signal, such as power, wavelength, etc.; the integrated controller is used to uniformly control and set parameters of the attenuator, EDFA and the first collector.

[0126] It should be noted that the combination of attenuator and EDFA can be used for multiple tests, including but not limited to: optical power test, dynamic range test based on optical power test, bit error rate test, receiving sensitivity test, etc.; specifically, the initial attenuation of the attenuator is set to zero through the integrated controller. At this time, the optical power measured by the first collector is the original optical power of the transmitting end. Then, the attenuation of the attenuator is gradually increased by a certain step size each time, and the corresponding optical power value measured by the first collector is recorded at the same time. By analyzing the measured optical power value, a curve of optical power changing with attenuation can be obtained, thereby evaluating the transmission performance of the optical communication system under different attenuation conditions.

[0127] On the basis of completing the optical power test, the dynamic range test can be further carried out. The dynamic range is the difference between the maximum and minimum optical powers at which the receiving end can work normally under the condition that certain requirements are met in the optical communication system. During the test, the device to be tested is used as the receiving end, and the test device is used as the transmitting end. The optical power of the transmitting end is kept unchanged. By adjusting the attenuation of the attenuator, the optical power of the receiving end is changed within a certain range. At the same time, the bit error rate of the receiving end is monitored. When the bit error rate just exceeds the set threshold, the minimum optical power at this time is recorded. Then, the attenuation of the attenuator is gradually reduced until the bit error rate meets the requirements again, and the maximum optical power at this time is recorded. The dynamic range can be obtained by calculating the difference between the two.

[0128] After completing the dynamic range test, the bit error rate test can be carried out. The test data is sent out through the device to be tested (i.e., the transmitter), passes through the attenuator, EDFA, and the transmission link, and reaches the receiving end. The receiving end decodes the received data and compares it with the original data from the transmitting end, and counts the number of erroneous bits. The bit error rate is the ratio of the number of erroneous bits to the total number of transmitted bits. By adjusting the attenuation of the attenuator and the amplification gain of the EDFA, different transmission conditions can be simulated, and the change in the bit error rate at different optical power levels can be measured. For example, within a certain optical power range, the attenuation of the attenuator is changed with a certain step size, and the corresponding bit error rate is measured each time. The relationship curve between the bit error rate and the optical power is plotted based on the test results, thereby determining the operating range and performance limit of the optical communication system under the specific bit error rate requirements.

[0129] In addition, since different modulation formats have different sensitivities to parameters such as power and phase of optical signals, it is necessary to verify the compatibility of EDFA with optical signals of different modulation formats to ensure that in actual communication systems, optical signals using various modulation formats can maintain good quality after amplification, thereby supporting a variety of communication services and high-speed data transmission. Therefore, the attenuator and EDFA combination can also perform signal modulation format compatibility testing. The modulated optical signal is input into the EDFA after the power is adjusted through the attenuator. The constellation diagram, eye diagram and other characteristics of the optical signal detected by the first collector are used to observe whether the modulation format of the amplified optical signal has changed or distorted, thereby verifying the compatibility of EDFA with optical signals of different modulation formats.

[0130] The signal receiving device comprises:

[0131] The detector is used to receive the optical signal and convert it into an electrical signal, and can adjust parameters such as sensitivity and bandwidth. The receiver is used to focus and receive the optical signal after passing through the simulated environment, and can adjust the direction and position. The second collector is used to collect parameters related to the electrical signal output by the detector, such as voltage, current, etc. The signal receiving controller controls and configures parameters of the detector, receiver and second collector.

[0132] like Figure 2 As shown, the simulation and test unit as a whole is a simulation room with an optical window. The device to be tested is placed on the launch pad in front of the simulation room (i.e., the left side of the figure). According to the simulation requirements, the simulation parameters are calculated, and the target parameters are further calculated based on the simulation parameters to drive the basic environment simulation device in the far-field equivalent simulation and test unit, and the temperature, humidity and wind speed in the simulation and test unit are adjusted to perform basic environment simulation. It can be understood that in order to prevent the wind speed simulation module from affecting the direction and angle of other optical elements, the wind speed simulation module is separated from other modules, but the wind speed module is connected to other modules through a transmission tube above so that the basic temperature and humidity are consistent with other modules.

[0133] Furthermore, according to the target parameters, the turbulence simulation device in the far-field equivalent simulation and test unit is driven to adjust the surface shape of the deformable mirror and the angle and position of the first fast reflection mirror to simulate the atmospheric turbulence; the micro-vibration simulation device in the far-field equivalent simulation and test unit is driven to adjust the swing amplitude of the second fast reflection mirror to simulate the platform micro-vibration; the integrated test device in the far-field equivalent simulation and test unit is driven to adjust the working parameters of the attenuator, EDFA and the first collector to prepare the test environment; the signal receiving device in the far-field equivalent simulation and test unit is driven to adjust the sensitivity and bandwidth of the detector, the direction and position of the receiver and the working parameters of the second collector to receive the optical signal after passing through the simulated environment; thereby generating the simulation and test environment.

[0134] After the simulation test environment is generated, a startup prompt is issued. After confirmation by the relevant technicians, the simulation test can be started, so that the communication light beam emitted by the device under test enters the simulation and test unit through the optical window, passes through the simulation and test environment, and reaches the receiving end. According to the feedback from the receiving end, a test report is generated.

[0135] In some embodiments, the optical window is an aspherical AR-coated window with a window thickness of 1-3 mm.

[0136] The use of an aspherical optical window can effectively reduce aberrations, improve the transmission quality and focusing accuracy of the light beam, and reduce the light energy loss and scattering caused by the window shape. The AR coating further reduces the reflection of light, increases the transmittance of light, and ensures that more light signals can pass through the window smoothly, thereby improving the utilization efficiency of light signals. The window thickness of 1-3mm can minimize the absorption loss of light when it propagates inside the window while ensuring a certain mechanical strength. This thickness design enables the optical window to meet the structural requirements of the simulation test device and minimize the impact on the light signal, ensuring the accuracy and stability of the light signal in the simulation test, and providing a reliable optical transmission channel for the entire laser communication far-field equivalent simulation.

[0137] According to the embodiments of the present disclosure, according to different simulation requirements, the basic environment simulation device, the turbulence simulation device, the micro-vibration simulation device, etc. are driven to make corresponding parameter adjustments respectively, thereby realizing the simulation of various aspects such as the basic environment, atmospheric turbulence, and platform micro-vibration. In this way, various complex situations that may be encountered in actual far-field applications of laser communication can be more realistically reproduced, thereby improving the comprehensiveness and accuracy of the test.

[0138] According to the embodiments of the present disclosure, the following technical effects are achieved:

[0139] By clarifying the simulation requirements, matching the reference parameters and conducting correlation analysis, the simulation parameters are generated through numerical simulation calculations, and the target parameters are calculated by building an optical model based on the simulation parameters, providing accurate basic data for subsequent simulation tests; based on the target parameters, simulation and testing are carried out through basic environment simulation devices, turbulence simulation devices, micro-vibration simulation devices, integrated test devices and signal receiving devices, and various devices are integrated into the far-field equivalent simulation and test unit to more comprehensively simulate various complex far-field actual conditions such as basic environment, turbulence, micro-vibration, etc., providing conditions close to actual application scenarios for the testing of far-field laser communication equipment and systems, facilitating the operation and management of the entire simulation test process, improving test efficiency, and enabling researchers to discover and solve problems that may be encountered in actual applications of equipment in advance in a laboratory environment, thereby effectively shortening the R&D cycle and reducing R&D costs; at the same time, it is convenient for researchers to study the propagation characteristics and communication performance of lasers under different far-field conditions, and explore improved communication protocols, coding methods and signal processing algorithms.

[0140] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0141] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0142] Figure 3 FIG. 4 shows a block diagram of a laser communication far-field equivalent simulation and testing device according to an embodiment of the present disclosure; Figure 3 As shown, the laser communication far-field equivalent simulation and testing device 300 may include:

[0143] The first processing module 310 is used to obtain simulation requirements, determine parameter types according to the simulation requirements, and generate simulation parameters;

[0144] A second processing module 320 is used to construct an optical model based on the simulation parameters and calculate the target parameters;

[0145] The third processing module 330 is used to drive the far-field equivalent simulation and test unit according to the target parameters to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test light signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

[0146] Understandably, Figure 3 Each module in the laser communication far-field equivalent simulation and testing device 300 shown has the function of implementing each step in the laser communication far-field equivalent simulation and testing method 100 provided in the embodiment of the present disclosure, and can achieve its corresponding technical effect. The specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and for the convenience and conciseness of the description, it will not be repeated here.

[0147] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0148] Figure 4 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown.

[0149] The electronic device 400 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0150] The electronic device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in the ROM 402 or a computer program loaded from the storage unit 408 into the RAM 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O interface 405 is also connected to the bus 404.

[0151] Multiple components in the electronic device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0152] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 401 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the method 100 in any other appropriate manner (e.g., by means of firmware).

[0153] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0154] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0155] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0156] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0157] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0158] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0159] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0160] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A laser communication far-field equivalent simulation and testing method, characterized in that: include: Acquire simulation requirements, determine parameter types according to the simulation requirements, and generate simulation parameters; Building an optical model based on the simulation parameters and calculating target parameters; According to the target parameters, the far-field equivalent simulation and test unit is driven to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test optical signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

2. The method according to claim 1, characterized in that The obtaining of simulation requirements, determining parameter types according to the simulation requirements, and generating simulation parameters include: Obtain simulation requirements, clarify the purpose of this simulation and determine parameter types based on the simulation requirements; Corresponding reference parameters are matched from a preset far-field database and correlation analysis is performed. According to the parameter type, reference parameters and correlation analysis results, numerical simulation calculations are performed, and simulation parameters are generated according to the calculation results.

3. The method according to claim 2, characterized in that The matching of corresponding reference parameters from a preset far-field database and performing correlation analysis, performing numerical simulation calculations according to the parameter type, reference parameters and correlation analysis results, and generating simulation parameters according to the calculation results include: Matching reference parameters corresponding to the parameter type from a preset far-field database, and performing correlation analysis on the matched reference parameters to determine the degree of association and influence relationship between different parameters; Based on the parameter type, reference parameters and correlation analysis results, numerical simulation calculations are performed; and according to the results of the numerical simulation calculations, specific simulation parameters are generated.

4. The method according to claim 1, characterized in that: The step of constructing an optical model based on the simulation parameters and calculating target parameters comprises: The simulation parameters are input into a pre-built geometric optical model, the geometric optical model is solved, and the target parameters are calculated; the geometric optical model includes: a basic environment simulation device control model, a turbulence simulation control model, a micro-vibration simulation control model, an integrated test device control model, and a signal receiving device control model.

5. The method according to claim 1, characterized in that: According to the target parameters, driving the far-field equivalent simulation and test unit to generate a simulation and test environment for performing far-field equivalent simulation and testing includes: According to the target parameters, driving the basic environment simulation device in the far-field equivalent simulation and test unit, adjusting the temperature, humidity and wind speed in the simulation and test unit to perform basic environment simulation; According to the target parameters, a turbulence simulation device in a far-field equivalent simulation and test unit is driven to adjust the surface shape of the deformable mirror and the angle and position of the first fast reflection mirror to perform atmospheric turbulence simulation; According to the target parameters, driving the micro-vibration simulation device in the far-field equivalent simulation and test unit to adjust the swing amplitude of the second fast reflection mirror to perform platform micro-vibration simulation; According to the target parameters, driving the integrated test device in the far-field equivalent simulation and test unit to adjust the working parameters of the attenuator, the EDFA and the first collector to prepare the test environment; According to the target parameters, a signal receiving device in the far-field equivalent simulation and test unit is driven to adjust the sensitivity and bandwidth of the detector, the direction and position of the receiver, and the working parameters of the second collector to receive the optical signal after passing through the simulated environment; This generates a simulation and test environment to facilitate far-field equivalent simulation and testing of the device under test.

6. The method according to claim 1, characterized in that The optical window is an aspherical AR-coated window with a thickness of 1-3 mm.

7. A laser communication far-field equivalent simulation device, characterized in that: include: A first processing module is used to obtain simulation requirements, determine parameter types according to the simulation requirements, and generate simulation parameters; A second processing module, used for constructing an optical model based on the simulation parameters and calculating target parameters; The third processing module is used to drive the far-field equivalent simulation and test unit according to the target parameters to generate a simulation and test environment for far-field equivalent simulation and testing; wherein the far-field equivalent simulation and test unit is provided with an optical window for the test light signal to pass through, and the far-field equivalent simulation and test unit includes: a basic environment simulation device, a turbulence simulation device, a micro-vibration simulation device, an integrated test device and a signal receiving device.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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