Complex electromagnetic environment construction system

By monitoring the target coordinates and signal frequency in a complex electromagnetic environment construction system, generating camouflage and interference signals, and adjusting the grid spacing, the problems of instability and insufficient adaptability of simulation results in the existing technology are solved, and efficient electromagnetic regulation is achieved and anti-interference ability.

CN119254381APending Publication Date: 2025-01-03BEIJING PENGFANGYUAN TECH CO LTD
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Patent Information

Application Number
CN202411330346.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-24
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

In the prior art, the high randomness of signal simulation results leads to unstable simulation results and low complexity, and the inability to effectively deal with dynamically changing battlefield environments, resulting in insufficient adaptability.

Method used

The data acquisition module is used to monitor the electromagnetic environment, the determination module analyzes the target coordinates and signal frequency, the signal adjustment generation module generates camouflage and interference signals, and the correction module adjusts the grid spacing to dynamically adjust the electromagnetic environment.

Benefits of technology

It realizes efficient electromagnetic regulation in complex environments, improves the stability and adaptability of simulation results, can respond quickly and interfere with or disguise targets in a targeted manner, and enhances anti-interference ability and concealment.

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Patent Text Reader

Abstract

The invention relates to the technical field of electromagnetic construction, in particular to a complex electromagnetic environment construction system which comprises a data acquisition module, a judgment module, a signal adjustment generation module and a correction module. The system can dynamically analyze the relative distance and communication frequency between the targets and generate targeted interference and camouflage signals by accurately monitoring the real-time coordinates, the communication signal strength and the grid number of each target, and the signal adjustment and generation module changes the electromagnetic environment around the target by adjusting the signal strength of the grid where the target is located, so that the target interference and camouflage effect is improved. Therefore, accurate interference or camouflage is carried out on a specific area, the influence on a non-target area is avoided, meanwhile, the correction module can adjust the grid spacing in real time according to the change of a camouflage signal, and it is ensured that the system keeps efficient electromagnetic regulation and control capacity in a complex environment. The problems of unstable simulation result and insufficient adaptability caused by high signal simulation randomness and low environment complexity are effectively solved.
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Description

Technical Field

[0001] The present invention relates to the field of electromagnetic construction technology, and in particular to a complex electromagnetic environment construction system. Background Art

[0002] With the development of electronic technology and the increase in application demand, complex electromagnetic environment simulation and control have become increasingly important in various confrontation exercises. In order to accurately simulate and manage electromagnetic interference and camouflage signals in these exercises and improve the effectiveness and authenticity of the exercises, advanced electromagnetic environment construction technology has become the key. These technologies can accurately control the electromagnetic environment and provide more realistic and effective test conditions for confrontation exercises.

[0003] The patent document with publication number CN115664546A discloses a method for constructing a dynamic and complex battlefield electromagnetic environment. The method includes performing signal simulation on communication signals, radar signals and interference signals; performing random simulation on the amplitude of the simulated signal, and performing random simulation on the appearance and duration of the signal after random simulation; and superimposing the signals with random amplitude and appearance duration according to the signal types from few to many to construct electromagnetic signals of four different complexities: simple, mild, moderate and severe.

[0004] It can be seen that this method is highly random, and the random simulation of signal amplitude and occurrence time may lead to unstable simulation results, which are difficult to accurately control and repeat; the complexity of signal superposition is limited to four preset modes: simple, mild, moderate and severe, and cannot dynamically adapt to the complex changes in real confrontation, resulting in low environmental complexity; the real-time adjustment and optimization capabilities of complex electromagnetic environments are weak, and may not be able to effectively cope with dynamically changing battlefield environments, resulting in insufficient adaptability. Summary of the invention

[0005] To this end, the present invention provides a complex electromagnetic environment construction system to overcome the problems of unstable simulation results and insufficient adaptability caused by high randomness of signal simulation and low complexity of environment in the prior art.

[0006] To achieve the above object, the present invention provides a complex electromagnetic environment construction system, comprising:

[0007] A data acquisition module is used to monitor the real-time coordinates and real-time communication signal strength of each target in an electromagnetic environment area constructed with a preset grid spacing, and each grid in the electromagnetic environment area is covered with an electromagnetic signal of a preset signal strength;

[0008] a determination module, connected to the data acquisition module, comprising a number determination unit, a relationship analysis unit and a signal determination unit, wherein the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, the relationship analysis unit is used to determine whether it is necessary to determine the real-time relative distance and the real-time communication frequency according to the real-time grid numbers of any two targets, and determine the real-time relative distance according to the determination result and the real-time coordinates, and determine the real-time communication frequency according to the real-time communication signal strength, and the signal determination unit is used to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency;

[0009] a signal adjustment generation module, connected to the determination module, for generating a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency;

[0010] The correction module is connected to the signal adjustment generation module and the data acquisition module respectively, and is used to adjust the preset grid spacing according to the camouflage signal strength of all camouflage signals within a preset correction time and a preset strength standard deviation threshold.

[0011] Further, the relationship analysis unit is used to determine whether it is necessary to determine the real-time relative distance and the real-time communication frequency according to the real-time grid numbers of any two targets, and determine the real-time relative distance according to the determination result and the real-time coordinates, and determine the real-time communication frequency according to the real-time communication signal strength, including:

[0012] The relationship analysis unit is used to determine the real-time relative distance and the real-time communication frequency of two targets whose real-time grid numbers are adjacent or equal, and calculate the Euclidean distance according to the real-time coordinates corresponding to the targets to obtain the real-time relative distance, and convert the real-time communication signal strength corresponding to the targets according to the preset frequency strength conversion model inside to obtain the real-time communication frequency.

[0013] Furthermore, the signal determination unit is also used to determine that the two targets do not affect each other when the real-time relative distance is greater than the preset influence distance, to form a first determination result, and to generate an interference signal instruction according to the first determination result.

[0014] Furthermore, the signal determination unit is further configured to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency, including:

[0015] The signal determination unit is used to determine that the two targets have an impact when the real-time relative distance is less than or equal to the preset impact distance and the real-time communication frequency is greater than the preset impact frequency, to form a second determination result, and to generate the camouflage signal instruction according to the second determination result.

[0016] Furthermore, the signal adjustment generation module is also used to adjust the preset signal strength according to the real-time relative distance, the preset impact distance and the preset first adjustment coefficient when receiving the interference signal instruction to form the interference signal strength, and generate an interference signal at the grid corresponding to the real-time grid number to which each target belongs according to the interference signal strength.

[0017] Furthermore, the signal adjustment generation module is further configured to generate a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency, including:

[0018] The signal adjustment generation module is used to adjust the preset signal strength according to the real-time communication frequency, the preset impact frequency and the preset second adjustment coefficient to form the camouflage signal strength when receiving the camouflage signal instruction, and calculate the coordinates of the center point of the real-time coordinates of the two targets to form the center coordinates, and generate a camouflage signal at the center coordinates according to the camouflage signal strength.

[0019] Furthermore, the correction module is used to adjust the preset grid spacing according to the camouflaged signal strength of all camouflaged signals within the preset correction time and a preset strength standard deviation threshold, including:

[0020] The correction module is used to calculate the standard deviation of the camouflaged signal strength to obtain the camouflaged signal strength standard deviation, and increase or decrease the preset grid spacing according to the camouflaged signal strength standard deviation, a preset strength standard deviation threshold, and a spacing adjustment coefficient.

[0021] Further, the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, including:

[0022] The number determination unit is used for recording the real-time grid number to which the target whose real-time coordinates are within the coordinate range belongs.

[0023] Furthermore, the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, and further includes:

[0024] The number determination unit is also used to calculate the speed and direction of the target according to the real-time coordinates within a preset prediction time when the real-time coordinates are at the boundary coordinates of the coordinate range of each grid, and determine the real-time grid number to which each target belongs according to the speed and direction.

[0025] Further, the number determination unit is used to determine the real-time grid number to which each target belongs according to the speed and the direction, including:

[0026] The number determination unit is used to calculate the predicted movement coordinates according to the speed, the direction and the preset prediction duration, and record the real-time grid number to which the target whose predicted movement coordinates are within the coordinate range belongs.

[0027] Compared with the prior art, the beneficial effect of the present invention lies in that, by accurately monitoring the real-time coordinates, communication signal strength and grid number of each target, the system can dynamically analyze the relative distance and communication frequency between targets, and generate targeted interference and camouflage signals. The signal adjustment generation module changes the electromagnetic environment around the target by adjusting the signal strength of the grid where the target is located, thereby accurately interfering or camouflaging a specific area and avoiding the impact on non-target areas. At the same time, the correction module can adjust the grid spacing in real time according to the changes in the camouflage signal, ensuring that the system maintains efficient electromagnetic control capabilities in complex environments, effectively solving the problems of unstable simulation results and insufficient adaptability caused by high randomness of signal simulation and low environmental complexity.

[0028] Furthermore, by accurately recording the real-time grid number to which the target belongs, the system can quickly respond in a segmented electromagnetic environment and carry out targeted interference or camouflage on each target.

[0029] Furthermore, by combining the speed and direction of the target to predict its movement trend, the system's responsiveness in dynamic scenes is enhanced, especially when the target is in the boundary area, avoiding the grid recognition lag caused by coordinate changes.

[0030] Furthermore, by calculating the predicted movement coordinates of the target in advance, the system can identify the grid that the target is about to enter in advance, which improves the consistency and accuracy of grid switching.

[0031] Furthermore, accurate calculation of the real-time relative distance and communication frequency of the target ensures that when dealing with targets in adjacent or same areas, their relative positions and signal characteristics can be accurately assessed.

[0032] Furthermore, by comparing the real-time relative distance with the preset influence distance, judging whether the two targets have mutual influence can effectively avoid unnecessary generation of interference signals when the distance between the targets is far, thereby avoiding excessive interference to the electromagnetic environment.

[0033] Furthermore, by adjusting the strength and frequency of the camouflage signal, the real target information can be effectively concealed or confused, enhancing the concealment and complexity of the electromagnetic environment.

[0034] Furthermore, the finely tuned interference signal can cover the target area more accurately, enhance the interference effect, reduce the accuracy of target identification and positioning, and help improve the system's anti-interference ability and adaptability in complex electromagnetic environments.

[0035] Furthermore, generating a camouflage signal according to the actual communication frequency of the target and the required camouflage strength can effectively improve the camouflage effect and ensure that the electromagnetic environment of the target in the camouflage area is consistent with expectations.

[0036] Furthermore, by calculating the standard deviation of the strength of all camouflaged signals within the preset correction time, the distribution of camouflaged signals can be monitored and adjusted in real time, so that the adjustment of the grid spacing is more accurate, thereby effectively reducing the fluctuation of the camouflaged signal strength. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of a complex electromagnetic environment construction system for this embodiment;

[0038] Figure 2 A decision logic diagram for determining a real-time grid number by a number determination unit in this embodiment;

[0039] Figure 3 A decision logic diagram for determining the real-time relative distance and the real-time communication frequency by the relationship analysis unit of this embodiment;

[0040] Figure 4 A decision logic diagram for the signal decision unit of this embodiment to determine the instruction to generate an interference signal. DETAILED DESCRIPTION

[0041] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0043] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0044] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] See also Figure 1 As shown, it is a schematic diagram of the complex electromagnetic environment construction system of this embodiment;

[0046] This embodiment provides a complex electromagnetic environment construction system, including:

[0047] A data acquisition module is used to monitor the real-time coordinates and real-time communication signal strength of each target of the blue side in the red-blue confrontation electromagnetic environment area constructed by the red side with a preset grid spacing, wherein each grid in the red-blue confrontation electromagnetic environment area is covered with an electromagnetic signal of a preset signal strength;

[0048] a determination module, connected to the data acquisition module, comprising a number determination unit, a relationship analysis unit and a signal determination unit, wherein the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, the relationship analysis unit is used to determine the real-time relative distance and the real-time communication frequency according to the real-time coordinates, the real-time grid number and the real-time communication signal strength of any two targets, the signal determination unit is used to generate an interference signal instruction according to the real-time relative distance, and the signal determination unit is also used to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency;

[0049] A signal adjustment generation module, connected to the determination module, for adjusting the preset signal strength at the grid corresponding to the real-time grid number according to the interference signal instruction and the real-time relative distance to form an interference signal strength, and generating an interference signal according to the interference signal strength, and the signal adjustment generation module is also used to generate a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency;

[0050] The correction module is connected to the signal adjustment generation module and the data acquisition module respectively, and is used to adjust the preset grid spacing according to the camouflage signal strength of all camouflage signals within a preset correction time and a preset strength standard deviation threshold.

[0051] The preset grid spacing refers to the size of the grid division in the system, which usually depends on the target density and monitoring accuracy. It is usually set to several meters to tens of meters. In this embodiment, it is specifically set to 10 meters to facilitate accurate monitoring of target movement and signal changes.

[0052] The real-time communication signal strength is the signal strength during actual communication between targets. The preset signal strength is the benchmark signal strength within the grid, which determines the system's expectations for communication strength. It is usually set between -80dBm and -60dBm. This embodiment is set to -75dBm, which helps optimize signal coverage in the electromagnetic environment.

[0053] The coordinate range of each grid refers to the spatial position range of each grid, which depends on the preset grid spacing and the monitoring area, and is usually calculated based on the grid spacing. In this embodiment, the range is a square with a side length of 10 meters each, ensuring coverage of the entire monitoring area.

[0054] The real-time grid number refers to the number of the grid where each target is currently located, which depends on the real-time coordinates of the target and the grid division. It usually changes as the target moves. This embodiment automatically updates according to the position of the target in the grid to ensure real-time tracking of the target by the system.

[0055] The jamming signal is a signal used to disrupt the target communication. It depends on the target distance and the communication jamming requirements. It is usually adjusted according to the preset signal strength and can effectively reduce unnecessary communication interference.

[0056] A camouflage signal is a signal used to conceal the target's real communication. It depends on the communication frequency and the relative distance between the targets. It is usually generated according to preset signal strength and frequency. It can confuse external detection and protect communication privacy.

[0057] The preset correction time refers to the time period during which the system observes the camouflaged signal before making corrections. It depends on the signal fluctuation frequency and is usually set to several seconds to several minutes. In this embodiment, it is set to 60 seconds to ensure that corrections are made after the signal is stable, thereby improving the accuracy of the corrections.

[0058] The preset strength standard deviation threshold is a standard deviation threshold used to determine the fluctuation of the camouflaged signal, which depends on the stability of the signal strength and usually ranges from 0.5dB to 3dB. In this embodiment, it is set to 1dB, which can effectively monitor and timely adjust abnormal signals.

[0059] The data acquisition module monitors the real-time coordinates and communication signal strength of each target in the red-blue confrontation scenario in real time, and divides the electromagnetic environment using the preset grid spacing. The determination module determines the real-time grid number of each target through the number determination unit, and the relationship analysis unit further calculates the real-time relative distance and communication frequency between any two targets. The signal determination unit generates interference and camouflage signal instructions based on this information. The signal adjustment generation module generates corresponding interference signals and camouflage signals by adjusting the signal strength at the real-time grid number, affecting the communication effect of the two opposing parties. At the same time, the correction module dynamically adjusts the grid spacing according to the camouflage signal strength and standard deviation threshold within the preset correction time to ensure the accuracy of the signal strength distribution and adapt to environmental changes in the confrontation.

[0060] By accurately monitoring the real-time coordinates, communication signal strength and grid number of each target, the system can dynamically analyze the relative distance and communication frequency between targets and generate targeted interference and camouflage signals. The signal adjustment generation module changes the electromagnetic environment around the target by adjusting the signal strength of the grid where the target is located, thereby accurately interfering or camouflaging specific areas and avoiding affecting non-target areas. At the same time, the correction module can adjust the grid spacing in real time according to the changes in the camouflage signal, ensuring that the system maintains efficient electromagnetic control capabilities in complex environments, effectively solving the problems of unstable simulation results and insufficient adaptability caused by high randomness of signal simulation and low environmental complexity.

[0061] Please continue reading Figure 2 As shown, it is a decision logic diagram of the number determination unit in this embodiment for determining the real-time grid number;

[0062] Specifically, the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, including:

[0063] The number determination unit is used for recording the real-time grid number to which the target whose real-time coordinates are within the coordinate range belongs.

[0064] The number determination unit collects the real-time coordinates of the target and determines the real-time grid number to which the target belongs by combining the preset coordinate ranges of each grid. When the coordinates of the target are within the coordinate range of a certain grid, the system will record the real-time grid number to which the target belongs, ensuring that each target is accurately located in the grid where it is located.

[0065] By accurately recording the real-time grid number to which the target belongs, the system can quickly respond in a segmented electromagnetic environment and conduct targeted interference or camouflage on each target.

[0066] Specifically, the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, and further includes:

[0067] The number determination unit is also used to calculate the speed and direction of the target according to the real-time coordinates within a preset prediction time when the real-time coordinates are at the boundary coordinates of the coordinate range of each grid, and determine the real-time grid number to which each target belongs according to the speed and direction.

[0068] The preset prediction duration is a time period used to calculate the future position of the target, and its setting depends on the target's moving speed and the system's responsiveness. It is usually set to 1 to 10 seconds of the target's moving time, and is specifically set to 5 seconds. In this embodiment, it is specifically set to 5 seconds. This setting helps the system to adjust the electromagnetic environment in advance when the target moves rapidly, ensures real-time performance and accuracy, and improves the system's adaptability and stability.

[0069] When the target's real-time coordinates are at the boundary of each grid coordinate range, the number determination unit predicts the target's movement path and the grid it belongs to by calculating the target's speed and direction within the preset prediction time. Through this prediction method, the system can dynamically update the target's real-time grid number to ensure that the target can still be accurately located in the grid to which it will belong in the future when it approaches the boundary.

[0070] By combining the speed and direction of the target to predict its movement trend, the system's responsiveness in dynamic scenes is enhanced, especially when the target is in a boundary area, avoiding grid recognition lags caused by coordinate changes.

[0071] Specifically, the number determination unit is used to determine the real-time grid number to which each target belongs according to the speed and the direction, including:

[0072] The number determination unit is used to calculate the predicted movement coordinates according to the speed, the direction and the preset prediction duration, and record the real-time grid number to which the target whose predicted movement coordinates are within the coordinate range belongs.

[0073] The number determination unit calculates the target's predicted moving coordinates based on the target's speed, direction, and preset prediction duration, and records the real-time grid number to which the target belongs in the future. In this way, the system can not only track the target's current coordinates, but also estimate its possible future location, so as to update the grid number in advance.

[0074] By calculating the target's predicted movement coordinates in advance, the system can identify the grid that the target is about to enter in advance, improving the consistency and accuracy of grid switching.

[0075] Please continue reading Figure 3As shown, it is a decision logic diagram of the relationship analysis unit of this embodiment for determining the real-time relative distance and the real-time communication frequency;

[0076] Specifically, the relationship analysis unit is used to determine the real-time relative distance and the real-time communication frequency according to the real-time coordinates, the real-time grid number and the real-time communication signal strength of any two targets, including:

[0077] The relationship analysis unit is used to determine the real-time relative distance and the real-time communication frequency of two targets whose real-time grid numbers are adjacent or equal, and calculate the Euclidean distance according to the real-time coordinates corresponding to the targets to obtain the real-time relative distance, and convert the real-time communication signal strength corresponding to the targets according to the preset frequency strength conversion model inside to obtain the real-time communication frequency.

[0078] The preset frequency intensity conversion model is a mathematical model for converting the real-time communication signal strength of the target into the communication frequency. In this embodiment, it is a linear conversion model: F=a×S+b, wherein F is the real-time communication frequency, S is the real-time communication signal strength, a and b are coefficients of the linear conversion model, and the coefficients a and b are determined by experimental data. In this embodiment, a=1000Hz / dBm and b=500Hz are obtained through experiments.

[0079] The relationship analysis unit determines the target pair to be calculated by judging whether the real-time grid numbers of the targets are adjacent or equal. Then, the Euclidean distance is calculated according to the real-time coordinates of the targets to obtain the real-time relative distance. The real-time communication signal strength of the target is converted into the real-time communication frequency using the internal preset frequency intensity conversion model, thereby completing the calculation of the real-time relative distance and the real-time communication frequency.

[0080] Accurately calculating the real-time relative distance and communication frequency of the target ensures that when dealing with adjacent or same-area targets, their relative positions and signal characteristics can be accurately assessed.

[0081] Please continue reading Figure 4 As shown, it is a decision logic diagram of the signal decision unit of this embodiment to determine the instruction to generate an interference signal;

[0082] Specifically, the signal determination unit is used to generate an interference signal instruction according to the real-time relative distance, including:

[0083] The signal determination unit is used to determine that the two targets do not affect each other when the real-time relative distance is greater than the preset influence distance, to form a first determination result, and to generate an interference signal instruction according to the first determination result.

[0084] The preset impact distance refers to the distance value that is regarded as the effective impact range in the electromagnetic interference or camouflage signal. It determines the extension range of the interference or camouflage effect of the signal in space. It depends on the characteristics of the electromagnetic environment, the strength of the interference signal, the signal propagation characteristics, and the design requirements of the system. Generally, the setting of the preset impact distance needs to comprehensively consider the target distance and the interference effect. The setting value is between tens of meters and hundreds of meters. The preset impact distance in this embodiment is 100 meters. This setting can effectively cover the target area under common electromagnetic environment conditions while balancing the strength and range of the interference signal.

[0085] By comparing the real-time relative distance with the preset influence distance, it is determined whether the two targets have mutual influence. When the real-time relative distance is greater than the preset influence distance, it indicates that the two targets will not interfere with each other in the electromagnetic environment. The signal determination unit thus forms a first determination result and generates a corresponding interference signal instruction to prevent unnecessary interference signals from being sent.

[0086] By comparing the real-time relative distance with the preset influence distance, judging whether there is mutual influence between two targets can effectively avoid unnecessary generation of interference signals when the distance between the targets is far, and avoid excessive interference to the electromagnetic environment.

[0087] Specifically, the signal determination unit is further configured to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency, including:

[0088] The signal determination unit is used to determine that the two targets have an impact when the real-time relative distance is less than or equal to the preset impact distance and the real-time communication frequency is greater than the preset impact frequency, to form a second determination result, and to generate the camouflage signal instruction according to the second determination result.

[0089] The signal determination unit determines whether there is an impact between the targets by considering both the real-time relative distance and the real-time communication frequency. When the real-time relative distance is less than or equal to the preset impact distance, and the real-time communication frequency is greater than the preset impact frequency, the system determines that the two targets have an impact in the electromagnetic environment and forms a second determination result. Based on this determination result, the system generates a camouflage signal instruction to adapt to the electromagnetic interference and signal transmission needs between the targets.

[0090] By adjusting the intensity and frequency of the camouflage signal, the real target information can be effectively concealed or confused, enhancing the concealment and complexity of the electromagnetic environment.

[0091] Specifically, the signal adjustment generation module is used to adjust the preset signal strength at the grid corresponding to the real-time grid number according to the interference signal instruction and the real-time relative distance to form an interference signal strength, and generate an interference signal according to the interference signal strength, including:

[0092] The signal adjustment generation module is used to adjust the preset signal strength according to the real-time relative distance, the preset influence distance and the preset first adjustment coefficient when receiving the interference signal instruction to form the interference signal strength, and generate an interference signal at a grid corresponding to the real-time grid number to which each target belongs according to the interference signal strength, wherein I1=I-(D-D0)×K1, I1 is the interference signal strength, I is the preset signal strength, D is the real-time relative distance, D0 is the preset influence distance, and K1 is the preset first adjustment coefficient.

[0093] The preset first adjustment coefficient is a coefficient used to adjust the relationship between signal strength and distance, depending on the requirements and impact range of signal strength attenuation. It is usually set between 0.1 and 1.0 to balance the change in signal strength. The specific setting depends on the interference effect requirements in the system design. The specific value in this embodiment is 0.5. This setting can avoid excessive changes in signal strength while maintaining effective interference, ensuring the stability and reliability of the interference signal.

[0094] The signal adjustment generation module adjusts the preset signal strength according to the received interference signal instruction and the real-time relative distance. During the adjustment process, the module considers the preset impact distance and the preset first adjustment coefficient, and forms the interference signal strength through calculation. Then, according to the generated interference signal strength, the module transmits the interference signal to the grid corresponding to the real-time grid number to which each target belongs.

[0095] The finely adjusted interference signal can cover the target area more accurately, enhance the interference effect, reduce the accuracy of target identification and positioning, and help improve the system's anti-interference ability and adaptability in complex electromagnetic environments.

[0096] Specifically, the signal adjustment generation module is further configured to generate a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency, including:

[0097] The signal adjustment generation module is used to adjust the preset signal strength according to the real-time communication frequency, the preset influencing frequency and the preset second adjustment coefficient to form a camouflaged signal strength when receiving the camouflaged signal instruction, and calculate the coordinates of the center point of the real-time coordinates of the two targets to form the center coordinates, and generate a camouflaged signal at the center coordinates according to the camouflaged signal strength, wherein I2=I×[1+k2×(Y-Y0)], I2 is the camouflaged signal strength, k2 is the preset second adjustment coefficient, Y is the real-time communication frequency, and Y0 is the preset influencing frequency;

[0098] The preset impact frequency is a reference frequency set by the system, which is used to determine the impact of the real-time communication frequency on the strength of the camouflage signal. It depends on the typical frequency range of the target communication and the application requirements of the system. It is usually set to the middle value or common communication frequency in the target communication frequency range. In this embodiment, it is specifically set to the average value of the target communication frequency, that is, 2.4GHz. By setting a suitable preset impact frequency, it can be ensured that the camouflage signal has an appropriate strength in practical applications, thereby effectively interfering with the target communication.

[0099] The preset second adjustment coefficient is a coefficient for adjusting the strength of the camouflage signal, and is used to adjust the preset signal strength according to the deviation of the real-time communication frequency. It depends on the sensitivity requirements of the system for adjusting the strength of the camouflage signal and the environmental conditions in actual applications. It is usually set between 0.1 and 1.0, and is specifically set to 0.5 in this embodiment. The appropriate adjustment coefficient can effectively balance the range of variation of the camouflage signal strength and ensure that the camouflage signal has sufficient interference effect at different communication frequencies.

[0100] When receiving the camouflage signal instruction, the signal adjustment generation module adjusts the preset signal strength according to the real-time communication frequency, the preset impact frequency and the preset second adjustment coefficient to calculate the camouflage signal strength. Then, the module calculates the center point coordinates of the target real-time coordinates and generates a camouflage signal at the center coordinates to ensure that the camouflage signal covers the target area.

[0101] Generating camouflage signals according to the target's actual communication frequency and the required camouflage strength can effectively improve the camouflage effect and ensure that the target's electromagnetic environment in the camouflage area is consistent with expectations.

[0102] Specifically, the correction module is used to adjust the preset grid spacing according to the camouflaged signal strength of all camouflaged signals within the preset correction time and the preset strength standard deviation threshold, including:

[0103] The correction module is used to calculate the standard deviation of the camouflaged signal strength to obtain the camouflaged signal strength standard deviation, and increase or decrease the preset grid spacing according to the camouflaged signal strength standard deviation, a preset strength standard deviation threshold, and a spacing adjustment coefficient.

[0104] The correction module determines the fluctuation range of the camouflaged signal strength by calculating the standard deviation of the strength of all camouflaged signals within the preset correction time. Then, based on the comparison result of this standard deviation with the preset strength standard deviation threshold and the spacing adjustment coefficient, the preset grid spacing is dynamically adjusted to optimize the camouflage effect and ensure the stability of the electromagnetic environment.

[0105] By calculating the standard deviation of the strength of all camouflaged signals within a preset correction time, the distribution of camouflaged signals can be monitored and adjusted in real time, making the adjustment of the grid spacing more precise, thereby effectively reducing the fluctuation of the camouflaged signal strength.

[0106] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0107] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A complex electromagnetic environment construction system, characterized in that: include: A data acquisition module is used to monitor the real-time coordinates and real-time communication signal strength of each target in an electromagnetic environment area constructed with a preset grid spacing, and each grid in the electromagnetic environment area is covered with an electromagnetic signal of a preset signal strength; a determination module, connected to the data acquisition module, comprising a number determination unit, a relationship analysis unit and a signal determination unit, wherein the number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, the relationship analysis unit is used to determine whether it is necessary to determine the real-time relative distance and the real-time communication frequency according to the real-time grid numbers of any two targets, and determine the real-time relative distance according to the determination result and the real-time coordinates, and determine the real-time communication frequency according to the real-time communication signal strength, and the signal determination unit is used to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency; a signal adjustment generation module, connected to the determination module, for generating a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency; The correction module is connected to the signal adjustment generation module and the data acquisition module respectively, and is used to adjust the preset grid spacing according to the camouflage signal strength of all camouflage signals within a preset correction time and a preset strength standard deviation threshold.

2. The complex electromagnetic environment construction system according to claim 1, characterized in that: The relationship analysis unit is used to determine whether it is necessary to determine the real-time relative distance and the real-time communication frequency according to the real-time grid numbers of any two targets, and determine the real-time relative distance according to the determination result and the real-time coordinates, and determine the real-time communication frequency according to the real-time communication signal strength, including: The relationship analysis unit is used to determine the real-time relative distance and the real-time communication frequency of two targets whose real-time grid numbers are adjacent or equal, and calculate the Euclidean distance according to the real-time coordinates corresponding to the targets to obtain the real-time relative distance, and convert the real-time communication signal strength corresponding to the targets according to the preset frequency strength conversion model inside to obtain the real-time communication frequency.

3. The complex electromagnetic environment construction system according to claim 2, characterized in that: The signal determination unit is further configured to determine that the two targets do not affect each other when the real-time relative distance is greater than the preset influence distance, to form a first determination result, and to generate an interference signal instruction according to the first determination result.

4. The complex electromagnetic environment construction system according to claim 3, characterized in that: The signal determination unit is also used to generate a camouflage signal instruction according to the real-time relative distance and the real-time communication frequency, including: The signal determination unit is used to determine that the two targets have an impact when the real-time relative distance is less than or equal to the preset impact distance and the real-time communication frequency is greater than the preset impact frequency, to form a second determination result, and to generate the camouflage signal instruction according to the second determination result.

5. The complex electromagnetic environment construction system according to claim 4, characterized in that: The signal adjustment generation module is also used to adjust the preset signal strength according to the real-time relative distance, the preset impact distance and the preset first adjustment coefficient when receiving the interference signal instruction to form the interference signal strength, and generate an interference signal at a grid corresponding to the real-time grid number to which each target belongs according to the interference signal strength.

6. The complex electromagnetic environment construction system according to claim 5, characterized in that: The signal adjustment generation module is also used to generate a camouflage signal according to the camouflage signal instruction, the preset signal strength and the real-time communication frequency, including: The signal adjustment generation module is used to adjust the preset signal strength according to the real-time communication frequency, the preset impact frequency and the preset second adjustment coefficient to form the camouflage signal strength when receiving the camouflage signal instruction, and calculate the coordinates of the center point of the real-time coordinates of the two targets to form the center coordinates, and generate a camouflage signal at the center coordinates according to the camouflage signal strength.

7. The complex electromagnetic environment construction system according to claim 6, characterized in that: The correction module is used to adjust the preset grid spacing according to the camouflage signal strength of all camouflage signals within the preset correction time and the preset strength standard deviation threshold, including: The correction module is used to calculate the standard deviation of the camouflaged signal strength to obtain the camouflaged signal strength standard deviation, and increase or decrease the preset grid spacing according to the camouflaged signal strength standard deviation, a preset strength standard deviation threshold, and a spacing adjustment coefficient.

8. The complex electromagnetic environment construction system according to claim 7, characterized in that: The number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, including: The number determination unit is used for recording the real-time grid number to which the target whose real-time coordinates are within the coordinate range belongs.

9. The complex electromagnetic environment construction system according to claim 8, characterized in that: The number determination unit is used to determine the real-time grid number to which each target belongs according to the real-time coordinates and the coordinate range of each grid, and further includes: The number determination unit is also used to calculate the speed and direction of the target according to the real-time coordinates within a preset prediction time when the real-time coordinates are at the boundary coordinates of the coordinate range of each grid, and determine the real-time grid number to which each target belongs according to the speed and direction.

10. The complex electromagnetic environment construction system according to claim 9, characterized in that: The number determination unit is used to determine the real-time grid number to which each target belongs according to the speed and the direction, including: The number determination unit is used to calculate the predicted movement coordinates according to the speed, the direction and the preset prediction duration, and record the real-time grid number to which the target whose predicted movement coordinates are within the coordinate range belongs.