Missile-borne communication jammer area coverage optimization distribution simulation method and system

Abstract

The application discloses a kind of missile-borne communication jammer area coverage optimization distribution simulation method and system, method includes the motion trajectory of missile-borne communication jammer based on the environmental factor of current area;Control the movement of the jammer along the motion trajectory, and the interference performance data of each group communication radio station in the current area when the jammer is placed in different positions of the motion trajectory is analyzed based on OPNET simulation platform;According to the interference performance data of each group communication radio station in the current area when the jammer is placed in different positions of the motion trajectory, the time information and geographical position information corresponding to when the jammer reaches the best interference effect are determined;It can help commander to display and master the pros and cons of the quality of task completed by missile-borne communication jammer in the process of movement in real time, and determine the time information and geographical position information corresponding to when missile-borne communication jammer reaches the best interference effect, to improve the command decision-making ability of commander.

Description

Technical Field

[0001] This invention relates to the field of communication countermeasures technology, specifically to a simulation method and system for optimizing the distribution of area coverage of a missile-borne communication jammer. Background Technology

[0002] The purpose of a missile-borne communication jammer is to interfere with target radio stations, typically shortwave and VHF frequency-hopping stations. However, in actual use, there are often many radio stations in the target area that need jamming. This results in some target stations being jammed more effectively than others. Therefore, there is a point in the flight where the jammer reaches its optimal position, at which point the jamming effect is maximized. The time and geographical location information corresponding to when the jammer achieves its optimal jamming effect are crucial parameters that commanders urgently need to obtain in advance.

[0003] In related technologies, the literature "Research on the Impact of Typical Combat Environments on Airborne Communication Jamming Effects under OPNET Simulation Platform, Equipment Environmental Engineering, Vol. 17, No. 8, August 2020" utilizes the OPNET simulation platform to establish an airborne communication jamming model and characterizes the signal transmission model under typical combat environments within the process of the jammed target. Based on the TIREM4 terrain model built into OPNET, it determines the terrain undulations from the airborne communication jammer to each radio node, simulating the altitude at which the airborne communication jammer is affected by terrain obstruction and the jamming effects of different frequency bands. This provides strong decision support for commanders to rationally use airborne communication jammers in a specific combat environment and maximize their combat effectiveness. However, this approach only analyzes the jamming effect on radios when the jammer's projection point on the ground remains unchanged, without comparing the jamming effects at other projection points, thus failing to provide commanders with more usable information.

[0004] The paper "Research on Transmission Optimization Technology of UAV Relay Communication Network, Master's Thesis, Xi'an University of Electronic Science and Technology, September 1, 2022" considers real application scenarios in UAV relay communication networks. It establishes a UAV relay communication network model considering interference environments by combining the number, location, and movement models of UAV relays and interference nodes. Different simulation schemes are set up, and OPNET is used for simulation. A movement model of UAV relay nodes is established, and game theory knowledge is applied to the decision-making process of UAV movement. This allows the UAV to save energy while gaining strong anti-interference capabilities. Therefore, this scheme provides decision support for relay UAVs to avoid interference from jammers based on simulation results. Summary of the Invention

[0005] The technical problem to be solved by this invention is how to determine the time and geographical location information corresponding to when the missile-borne communication jammer achieves the best jamming effect.

[0006] The present invention solves the above-mentioned technical problems through the following technical means:

[0007] In a first aspect, this invention proposes a simulation method for optimizing the distribution of area coverage of a missile-borne communication jammer, the method comprising:

[0008] Based on the environmental factors of the current area, the trajectory of the missile-borne communication jammer is planned;

[0009] The jammer is controlled to move along the motion trajectory, and the jamming performance data of each group of communication radios in the current area is analyzed based on the OPNET simulation platform when the jammer is placed at different positions on the motion trajectory.

[0010] Based on the interference performance data of each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory, the time information and geographical location information corresponding to when the jammer achieves the best jamming effect are determined.

[0011] Furthermore, the process of planning the trajectory of the missile-borne communication jammer based on environmental factors in the current area includes:

[0012] The terrain environment map of the current area is converted into a two-dimensional raster map. The two-dimensional raster map is divided into several two-dimensional tensors. The same convolution kernel is used to perform convolution operation on all the divided tensors and then stitched together to obtain the constraint conditions corresponding to the movement of the interference machine along the movement trajectory. The constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the ground projection point is located during the movement process.

[0013] Based on the constraints, a regional adaptation function f is set, which includes the index measure corresponding to the elevation matrix, the vegetation matrix, the topographic relief matrix, and the natural electromagnetic radiation matrix, respectively.

[0014] Based on the mathematical evaluation model, the weights corresponding to the measurement degree of each indicator are obtained, and the objective optimization function is established based on the measurement degree of each indicator and its corresponding weight.

[0015] The objective optimization function is solved using a dynamic programming algorithm to plan the motion trajectory of the jammer.

[0016] Furthermore, the objective optimization function is expressed as follows:

[0017] minf=a×α+b×β+c×γ+d×δ

[0018] In the formula, α, β, γ, and δ represent the index measures of the elevation matrix, vegetation matrix, topographic relief matrix, and natural electromagnetic radiation matrix, respectively, and a, b, c, and d represent the weights corresponding to the index measures α, β, γ, and δ, respectively.

[0019] Furthermore, the interference performance data includes the network-wide average bit error rate, the network-wide average delivery rate, and the network-wide average throughput.

[0020] Furthermore, determining the time and geographical location information corresponding to when the jammer achieves its optimal jamming effect, based on the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the trajectory, includes:

[0021] Based on the interference performance data of the jammer on each group of communication radios in the current area when the jammer is placed at different positions on the trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on a symmetrical axis from all communication nodes in the network and without terrain obstruction.

[0022] Secondly, this invention proposes a simulation system for optimized distribution of area coverage of a missile-borne communication jammer, the system comprising:

[0023] The motion trajectory planning module is used to plan the motion trajectory of the missile-borne communication jammer based on the environmental factors of the current area.

[0024] The simulation analysis module is used to control the jammer to move along the motion trajectory and analyze the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory based on the OPNET simulation platform.

[0025] The location determination module is used to determine the time and geographical location information corresponding to when the jammer achieves the best jamming effect, based on the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the movement trajectory.

[0026] Furthermore, the motion trajectory planning module includes:

[0027] Parallel computing unit is used to convert the terrain environment map of the current area into a two-dimensional raster map, divide the two-dimensional raster map into several two-dimensional tensors, perform convolution operation on all the divided tensors using the same convolution kernel, and then stitch them together to obtain the constraint conditions corresponding to the movement of the interference machine along the movement trajectory. The constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the ground projection point is located during the movement process.

[0028] The adaptation function setting unit is used to set a regional adaptation function f based on the constraints. The adaptation function includes the index measurement degree corresponding to the elevation matrix, the vegetation matrix, the topographic relief matrix, and the natural electromagnetic radiation matrix, respectively.

[0029] The objective optimization function establishment unit is used to derive the weights corresponding to each indicator measure based on the mathematical evaluation model, and to establish the objective optimization function based on each indicator measure and its corresponding weight.

[0030] The trajectory planning unit is used to solve the objective optimization function and plan the motion trajectory of the jammer.

[0031] Furthermore, the objective optimization function is expressed as follows:

[0032] minf=a×α+b×β+c×γ+d×δ

[0033] In the formula, α, β, γ, and δ represent the index measures of the elevation matrix, vegetation matrix, topographic relief matrix, and natural electromagnetic radiation matrix, respectively, and a, b, c, and d represent the weights corresponding to the index measures α, β, γ, and δ, respectively.

[0034] Furthermore, the interference performance data includes the network-wide average bit error rate, the network-wide average delivery rate, and the network-wide average throughput.

[0035] Furthermore, the position determination module is specifically used for:

[0036] Based on the interference performance data of the jammer on each group of communication radios in the current area when the jammer is placed at different positions on the trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on a symmetrical axis from all communication nodes in the network and without terrain obstruction.

[0037] The advantages of this invention are:

[0038] (1) This invention considers the actual application scenario of the missile-borne communication jammer, that is, the projection position of the jammer on the ground is not constant, but is affected by objective factors such as weather conditions or its own material. When subjected to atmospheric resistance, the density, humidity and pressure of the atmosphere at different locations are different, which causes the position of the missile-borne communication jammer in the air to change, that is, there is a trajectory. This invention fully considers the environmental factors of the current area to plan the trajectory of the missile-borne communication jammer. Using the network simulation software OPNET as the carrier platform, it analyzes the interference performance data of each group of communication radios in the current area when the jammer is placed at different positions on the trajectory. Based on the interference performance data, it analyzes the interference effect of the jammer on each group of communication radios in the current area when it moves to each position. This can help the commander to display and grasp the quality of the missile-borne communication jammer in completing the task in real time, as well as determine the time information and geographical location information corresponding to the missile-borne communication jammer achieving the best interference effect, thereby improving the commander's command and decision-making ability.

[0039] (2) Considering the complex and ever-changing environment faced by missile-borne communication jammers in actual use, it is difficult to determine how to distribute the missile-borne communication jammers to interfere with radio stations. This invention takes into account the elevation, vegetation distribution, terrain undulation, and natural electromagnetic radiation of the environment where the ground projection point of the missile-borne communication jammer is located, and pre-plans the movement trajectory of the jammer to provide commanders with a detailed and realistic reference plan; and uses the time controller in the OPNET simulation platform as the application platform to observe the jamming effect of the jammer in motion in real time, and which position is the best, which can provide tactical reference for commanders.

[0040] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating a simulation method for optimizing the distribution of area coverage of a missile-borne communication jammer, as proposed in an embodiment of the present invention.

[0042] Figure 2 This is a scene topology map of the current region in one embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of the trajectory setting of an airborne communication jammer in one embodiment of the present invention;

[0044] Figure 4 This is a trajectory location information diagram of an airborne communication jammer in one embodiment of the present invention;

[0045] Figure 5This is a schematic diagram showing the location where the jammer has the greatest impact on the interference effect on radio stations 1 and 2 in one embodiment of the present invention;

[0046] Figure 6 This is a terrain profile of jammer and radio station 1, 2 in one embodiment of the present invention, wherein (a) is a terrain profile of jammer and radio station 1, and (b) is a terrain profile of jammer and radio station 2.

[0047] Figure 7 This is a schematic diagram of the signal-to-noise ratio of radio stations 1 and 2 in one embodiment of the present invention;

[0048] Figure 8 This is a schematic diagram of the location where the jammer has the greatest impact on radio stations 3 and 4 in one embodiment of the present invention, wherein (a) is the location where the jammer has the greatest impact on radio station 3, and (b) is the location where the jammer has the greatest impact on radio station 4;

[0049] Figure 9 This is a terrain profile of jammer and radio station 3 and 4 in one embodiment of the present invention, wherein (a) is a terrain profile of jammer and radio station 3 and (b) is a terrain profile of jammer and radio station 4.

[0050] Figure 10 This is a schematic diagram of the signal-to-noise ratio of radio stations 3 and 4 in one embodiment of the present invention;

[0051] Figure 11 This is a schematic diagram showing the location where the jammer has the greatest impact on the jamming effect on radio stations 5 and 6 in one embodiment of the present invention;

[0052] Figure 12 This is a terrain profile of jammer and radio station 5 and 6 in one embodiment of the present invention, wherein (a) is a terrain profile of jammer and radio station 5 and (b) is a terrain profile of jammer and radio station 6.

[0053] Figure 13 This is a schematic diagram of the signal-to-noise ratio of radio stations 5 and 6 in one embodiment of the present invention;

[0054] Figure 14 This is a schematic diagram showing the location where the jammer has the greatest impact on the interference effect on radio stations 7 and 8 in one embodiment of the present invention;

[0055] Figure 15 This is a terrain profile of jammer and radio station 7 and 8 in one embodiment of the present invention, wherein (a) is a terrain profile of jammer and radio station 7, and (b) is a terrain profile of jammer and radio station 8.

[0056] Figure 16 This is a schematic diagram of the signal-to-noise ratio of radio stations 7 and 8 in one embodiment of the present invention;

[0057] Figure 17This is a schematic diagram showing the location where the jammer has the greatest impact on the jamming effect of all radio stations in the entire network in one embodiment of the present invention;

[0058] Figure 18 This is a schematic diagram of the average bit error rate across the entire network in one embodiment of the present invention;

[0059] Figure 19 This is a schematic diagram of the average delivery rate across the entire network in one embodiment of the present invention;

[0060] Figure 20 This is a schematic diagram of the average throughput of the entire network in one embodiment of the present invention;

[0061] Figure 21 This is a schematic diagram of the structure of a simulated system for optimized distribution of area coverage of a missile-borne communication jammer, as proposed in an embodiment of the present invention. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] like Figure 1 As shown, the first embodiment of the present invention proposes a simulation method for optimizing the distribution of airborne communication jammer area coverage. The method includes the following steps:

[0064] S10. Based on the environmental factors of the current area, plan the movement trajectory of the missile-borne communication jammer;

[0065] It should be noted that since the jamming effect of the missile-borne communication jammer is affected by environmental factors, in order to make the results more realistic, this embodiment combines topographic map data and considers the topographic environmental factors of the current area to plan the movement trajectory of the missile-borne communication jammer in the current area.

[0066] S20. Control the jammer to move along the motion trajectory, and analyze the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory based on the OPNET simulation platform;

[0067] It's important to note that the OPNET network simulation platform provides a three-layer modeling mechanism based on "process-node-network," which can depict the performance parameters of communication nodes in considerable detail. The concept of a communication node is broad; any network node capable of sending and receiving simulated data packets between two points can be considered a communication terminal in OPNET. Simultaneously, OPNET can collect and organize a large amount of simulation results and perform real-time comparisons while simulating data packet sending and receiving. More importantly, the display of simulation results can be manually configured, allowing users to customize settings as needed.

[0068] S30. Based on the interference performance data of each group of communication radio stations in the current area when the jammer is placed at different positions on the motion trajectory, determine the time information and geographical location information corresponding to when the jammer achieves the best jamming effect.

[0069] It should be noted that this embodiment plans the movement trajectory of the missile-borne communication jammer based on the environmental factors of the current area. Using the network simulation software OPNET as the platform, it analyzes the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the movement trajectory. Based on the jamming performance data, it analyzes the jamming effect of the jammer on each group of communication radios in the current area when it moves to each position. This can help the commander to display and grasp the quality of the missile-borne communication jammer in completing its mission in real time, as well as determine the time and geographical location information corresponding to when the missile-borne communication jammer achieves the best jamming effect, thereby improving the commander's command and decision-making ability.

[0070] As a further preferred technical solution, step S10: Based on the environmental factors of the current area, the motion trajectory of the missile-borne communication jammer is planned, specifically including the following steps:

[0071] S11. Convert the current area's terrain environment map into a two-dimensional raster map, divide the two-dimensional raster map into several two-dimensional tensors, perform convolution operations on all the divided tensors using the same convolution kernel, and then stitch them together to obtain the constraint conditions corresponding to the movement of the interference machine along the motion trajectory. The constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix of the environment where the ground projection point is located during the movement process.

[0072] It should be noted that, assuming the starting point of the missile-borne communication jammer's movement path is P1, the intermediate points it passes through are P2, P3...P n To ensure that the missile-borne communication jammer is unaffected by external factors during its movement, it is necessary to determine the elevation H (H1...H2) of the environment at each position of the missile-borne communication jammer's movement on the ground. n ), vegetation G (G1...G n), terrain undulation condition T(T1...T n Natural electromagnetic radiation R (R1...R) n () is used as a constraint.

[0073] However, due to the large number of points along the route and the substantial amount of data, a parallel computing method based on convolution is adopted to improve computational efficiency. This method decomposes the computational task into multiple sub-tasks, which are then executed in parallel on multiple computing units to increase computational speed. Therefore, the terrain map is converted into a two-dimensional raster map, which is then divided into several two-dimensional tensors. All the divided tensors are convolved using the same convolution kernel to achieve parallel computation before being stitched together. This yields the elevation matrix H, vegetation matrix G, terrain undulation matrix T, and natural electromagnetic radiation matrix R of the environment at each movement position of the missile-borne communication jammer's ground projection point.

[0074] S12. Based on the constraints, set a regional adaptation function f = a×α + b×β + c×γ + d×δ. The adaptation function includes independent variables such as the index measurement degree corresponding to the elevation matrix, the vegetation matrix, the topographic relief matrix, and the natural electromagnetic radiation matrix, respectively.

[0075] It should be noted that the influencing factors of the regional adaptation function include elevation H, vegetation G, terrain undulation T, and natural electromagnetic radiation R. The purpose of setting the regional adaptation function in this embodiment is to establish an optimal movement trajectory for the missile-borne communication jammer. The elevation, vegetation, terrain undulation, and natural electromagnetic radiation of the ground projection point corresponding to this trajectory have the least impact on the jammer's jamming performance, thereby achieving a better jamming effect. During the movement of the missile-borne communication jammer, the smaller the elevation α of the ground projection point, the better; the sparser the vegetation β, the better; the smoother the terrain undulation γ, the better; and the smaller the natural electromagnetic radiation δ, the better. Here, α, β, γ, and δ represent the index measurement degree.

[0076] S13. Based on the mathematical evaluation model, the weights corresponding to the measurement degree of each indicator are obtained, and the objective optimization function is established based on the measurement degree of each indicator and its corresponding weight.

[0077] It should be noted that this embodiment establishes a mathematical evaluation model to derive the weights a, b, c, and d of α, β, γ, and δ. These weights can be dynamically adjusted according to the actual characteristics of the terrain environment.

[0078] Specifically, this embodiment first establishes a two-level influence index system of elevation, vegetation, topographic relief and natural electromagnetic radiation, then uses the two-level ratio method to obtain the judgment matrix, and then uses the analytic hierarchy process to calculate the weights of the two-level influence indexes.

[0079] S14. Solve the objective optimization function using a dynamic programming algorithm to plan the motion trajectory of the jammer. As a further preferred technical solution, the objective optimization function is expressed as follows:

[0080] minf=a×α+b×β+c×γ+d×δ

[0081] In the formula, α, β, γ, and δ represent the index measures of the elevation matrix, vegetation matrix, topographic relief matrix, and natural electromagnetic radiation matrix, respectively, and a, b, c, and d represent the weights corresponding to the index measures α, β, γ, and δ, respectively.

[0082] The constraints of the objective optimization function are: the ground projection point corresponding to the jammer's trajectory has the lowest elevation, the vegetation coverage is the sparsest, the terrain undulation is the gentlest, and the natural electromagnetic radiation is the lowest.

[0083] It should be noted that the elevation, vegetation coverage, terrain undulation, and natural electromagnetic radiation of the ground projection point corresponding to the jammer's trajectory planned in this embodiment have the least impact on the jammer, allowing commanders to grasp the jamming effect of the missile-borne communication jammer in a real application environment.

[0084] As a further preferred technical solution, the interference performance data includes the network-wide average bit error rate, the network-wide average delivery rate, and the network-wide average throughput.

[0085] As a further preferred technical solution, step S30: based on the interference performance data of the jammer on each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory, determine the time information and geographical location information corresponding to when the jammer achieves the best jamming effect, specifically:

[0086] Based on the interference performance data of the jammer on each group of communication radios in the current area when the jammer is placed at different positions on the trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on a symmetrical axis from all communication nodes in the network and without terrain obstruction.

[0087] Specifically, assuming the target area has several communication radio groups, say four groups, the jammer's trajectory is as follows: Figure 2 As shown, after incorporating terrain factors into the OPNET simulation platform, the jammer moves along a trajectory with a ground clearance of 300m (e.g., Figures 3-4As shown in the diagram, the planned movement trajectory is used to analyze how the jammer's interference effect on each group of communication radios changes when placed at different positions along the trajectory. This allows for the analysis and prediction of the optimal deployment location for the jammer. In the scenario, eight communication radios are deployed for pairwise communication. The jammer model can be viewed as hovering along the movement trajectory at a height of 300m above the ground. Using the Time Controller control in the OPNET platform, the effect of the missile-borne communication jamming at each moment can be observed through the time frame window during the simulation. Figures 5-16 Examine the correspondence between the signal-to-noise ratio and overall bit error rate of each group of radio stations and the movement position of the jammer. The jamming effect of the jammer on all radio stations in the network is as follows: Figures 17-20 As shown.

[0088] The simulation results show that, due to the influence of terrain undulations at the locations of each group of communication radios, the jammer achieves the best jamming effect when it is positioned equidistant from each group of radios without terrain obstruction. In this case, the radios experience the most interference, and the signal-to-noise ratio (SNR) is minimized. Similar effects are observed with radios 1 and 2, 5 and 6, and 7 and 8. Alternatively, the jammer's effect is best when it is close to the radios without terrain obstruction, as seen with radios 3 and 4. Globally, the best overall jamming effect is achieved when the jammer is positioned relatively centrally across the entire network of communication radios without terrain obstruction. As the jammer approaches the center, the overall bit error rate increases, while the delivery rate and reception throughput continuously decrease, indicating that jamming performance is better when the radios are positioned relatively centrally. Because the locations of jammers and communication radios are complex and varied in reality, and the terrain environment is constantly changing, it is difficult to exhaustively represent all possible deployment scenarios through individual simulations. The trajectory planned here only roughly simulates the general pattern of the jamming effect under the influence of terrain factors when the relative positions of the jammer and communication radio change, and from this, infers the deployment principles. In summary, based on the above results, it can be inferred that deploying jammers as far as possible from the center position or along the axis of symmetry of the network nodes, and avoiding terrain obstruction as much as possible, can bring about a more ideal jamming effect.

[0089] In addition, such as Figure 21 As shown, the second embodiment of the present invention also proposes a simulation system for optimized distribution of area coverage of a missile-borne communication jammer, the system comprising:

[0090] The motion trajectory planning module 10 is used to plan the motion trajectory of the missile-borne communication jammer based on the environmental factors of the current area.

[0091] The simulation analysis module 20 is used to control the jammer to move along the motion trajectory and analyze the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory based on the OPNET simulation platform.

[0092] The location determination module 30 is used to determine the time information and geographical location information corresponding to when the jammer achieves the best jamming effect, based on the jamming performance data of each group of communication radios in the current area when the jammer is placed at different positions on the motion trajectory.

[0093] As a further preferred technical solution, the motion trajectory planning module 10 includes:

[0094] Parallel computing unit is used to convert the terrain environment map of the current area into a two-dimensional raster map, divide the two-dimensional raster map into several two-dimensional tensors, perform convolution operation on all the divided tensors using the same convolution kernel, and then stitch them together to obtain the constraint conditions corresponding to the movement of the interference machine along the movement trajectory. The constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the ground projection point is located during the movement process.

[0095] The adaptation function setting unit is used to set a regional adaptation function f based on the constraints. The adaptation function includes the index measurement degree corresponding to the elevation matrix, the vegetation matrix, the topographic relief matrix, and the natural electromagnetic radiation matrix, respectively.

[0096] The objective optimization function establishment unit is used to derive the weights corresponding to each indicator measure based on the mathematical evaluation model, and to establish the objective optimization function based on each indicator measure and its corresponding weight.

[0097] The trajectory planning unit is used to solve the objective optimization function and plan the motion trajectory of the jammer.

[0098] As a further preferred technical solution, the formula for the objective optimization function is expressed as follows:

[0099] minf=a×α+b×β+c×γ+d×δ

[0100] In the formula, α, β, γ, and δ represent the index measures of the elevation matrix, vegetation matrix, topographic relief matrix, and natural electromagnetic radiation matrix, respectively, and a, b, c, and d represent the weights corresponding to the index measures α, β, γ, and δ, respectively.

[0101] As a further preferred technical solution, the interference performance data includes the network-wide average bit error rate, the network-wide average delivery rate, and the network-wide average throughput.

[0102] As a further preferred technical solution, the position determination module is specifically used for:

[0103] Based on the interference performance data of the jammer on each group of communication radios in the current area when the jammer is placed at different positions on the trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on a symmetrical axis from all communication nodes in the network and without terrain obstruction.

[0104] It should be noted that other embodiments or implementation methods of the missile-borne communication jammer area coverage optimization distribution simulation system described in this invention can refer to the above-mentioned method embodiments, and will not be repeated here.

[0105] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0106] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0107] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for optimizing the distribution of area coverage of a missile-borne communication jammer, characterized in that, The method comprises: planning a movement trajectory of a missile-borne communication jammer based on environmental factors of a current area; controlling the jammer to move along the movement trajectory, and analyzing jamming performance data of each group of communication stations in the current area when the jammer is placed at different positions of the movement trajectory based on an OPNET simulation platform; determining time information and geographical position information corresponding to a best jamming effect of the jammer according to the jamming performance data of each group of communication stations in the current area when the jammer is placed at different positions of the movement trajectory; wherein the determination of the time information and the geographical position information corresponding to the best jamming effect of the jammer comprises determining that the jammer achieves the best jamming effect when the jammer is deployed at a central position or a symmetric axis that is relatively balanced to all network communication nodes and is not blocked by terrain.

2. The method of claim 1, wherein: The planning of the movement trajectory of the missile-borne communication jammer based on the environmental factors of the current area comprises: converting a terrain environment map of the current area into a two-dimensional grid map, dividing the two-dimensional grid map into a plurality of two-dimensional tensors, performing convolution operations on all the divided tensors using the same convolution kernel, and then splicing to obtain a constraint condition corresponding to the movement of the jammer along the movement trajectory, wherein the constraint condition is an elevation matrix, a vegetation matrix, a terrain fluctuation matrix, and a natural electromagnetic radiation matrix of an environment where a ground projection point in the movement process is located; setting a regional adaptive function f based on the constraint condition, wherein the adaptive function comprises index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain fluctuation matrix, and the natural electromagnetic radiation matrix; obtaining weights corresponding to each index measurement degree based on a mathematical evaluation model, and establishing a target optimization function based on each index measurement degree and the corresponding weight; solving the target optimization function by using a dynamic programming algorithm to plan the movement trajectory of the jammer.

3. The method of claim 2, wherein: The formula of the target optimization function is: min f = a × α + b × β + c × γ + d × δ In the formula, α, β, γ, and δ represent index measurement degrees of the elevation matrix, the vegetation matrix, the terrain fluctuation matrix, and the natural electromagnetic radiation matrix respectively, and a, b, c, and d represent weights corresponding to the index measurement degrees α, β, γ, and δ respectively.

4. The method of claim 1, wherein: The jamming performance data comprises average error code rate, average delivery rate, and average throughput of the whole network.

5. A missile-borne communication jammer area coverage optimization distribution simulation system, characterized in that, The system comprises: a movement trajectory planning module configured to plan a movement trajectory of a missile-borne communication jammer based on environmental factors of a current area; a simulation analysis module configured to control the jammer to move along the movement trajectory, and analyze jamming performance data of each group of communication stations in the current area when the jammer is placed at different positions of the movement trajectory based on an OPNET simulation platform. The position determining module is configured to determine time information and geographical position information corresponding to a best interference effect of the jammer according to interference performance data of each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory; wherein the determination of the time information and the geographical position information corresponding to the best interference effect of the jammer according to the interference performance data of each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory comprises: determining that the jammer achieves the best interference effect when the jammer is deployed at a central position or a symmetric axis relative to all network communication nodes and without terrain obstruction according to the interference performance data of each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory.

6. The missile-borne communication jammer area coverage optimization distribution emulation system of claim 5, wherein, The motion trajectory planning module comprises: The parallel computing unit is configured to convert a topographic environment map of the current area into a two-dimensional grid map, divide the two-dimensional grid map into a plurality of two-dimensional tensors, perform convolution operation on all the divided tensors using the same convolution kernel, and then splice the tensors to obtain a constraint condition corresponding to movement of the jammer along the motion trajectory, wherein the constraint condition is an elevation matrix, a vegetation matrix, a terrain fluctuation matrix, and a natural electromagnetic radiation matrix of an environment where a ground projection point of the movement process is located; The adaptive function setting unit is configured to set a regional adaptive function f based on the constraint condition, wherein the adaptive function comprises index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain fluctuation matrix, and the natural electromagnetic radiation matrix; The target optimization function establishing unit is configured to obtain weights corresponding to each index measurement degree based on a mathematical evaluation model, and establish a target optimization function based on each index measurement degree and the weight corresponding thereto; The trajectory planning unit is configured to solve the target optimization function and plan the motion trajectory of the jammer.

7. The missile-borne communication jammer area coverage optimization distribution emulation system of claim 6, wherein, The formula of the target optimization function is as follows: min f = a × α + b × β + c × γ + d × δ In the formula, α, β, γ, and δ represent index measurement degrees of the elevation matrix, the vegetation matrix, the terrain fluctuation matrix, and the natural electromagnetic radiation matrix respectively, and a, b, c, and d represent weights corresponding to the index measurement degrees α, β, γ, and δ respectively.

8. The missile-borne communication jammer area coverage optimization distribution emulation system of claim 5, wherein, The interference performance data comprises average error code rate, average delivery rate, and average throughput of the whole network.

9. The area coverage optimization distribution emulation system of a missile-borne communication jammer of claim 5, wherein, The position determining module is specifically configured to: determine that the jammer achieves the best interference effect when the jammer is deployed at a central position or a symmetric axis relative to all network communication nodes and without terrain obstruction according to the interference performance data of each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory.

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