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

Abstract

The invention discloses a missile-borne communication jammer area coverage optimization distribution simulation method and system, and the method comprises the steps: planning a motion track of a missile-borne communication jammer based on the environment factors of a current area; controlling the jammer to move along the motion trail, and analyzing interference performance data of the jammer to each group of communication radio stations in the current area when the jammer is arranged at different positions of the motion trail based on an OPNET simulation platform; determining corresponding time information and geographical location information when the jammer achieves the optimal interference effect according to interference performance data of the jammer to each group of communication radio stations in the current area when the jammer is arranged at different positions of the motion trail; a commander can be helped to display and master the quality of tasks completed by the missile-borne communication jammer in the movement process in real time and determine corresponding time information and geographic position information when the missile-borne communication jammer achieves the optimal jamming effect, and therefore the commanding and decision-making capacity of the commander is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication countermeasure technology, and in particular to a method and system for simulating the regional coverage optimization distribution of a missile-borne communication jammer. Background Art

[0002] The function of missile-borne communication jammers is to interfere with target radio stations, which are usually shortwave and ultra-shortwave frequency-hopping radio stations. However, in actual use, there are often many jammed radio stations in the target area, so some target radio stations will be interfered with effectively, while others will be interfered with weakly. Therefore, at a certain moment during the flight, the jammer flies to the best position, and the jamming effect is the best at this time. When the jammer achieves the best jamming effect, the corresponding time information and geographic location information are important parameters that commanders urgently need to master in advance.

[0003] In the related technology, the document "Research on the Influence of Typical Combat Environment on Missile-borne Communication Jamming Effects under OPNET Simulation Platform, Equipment Environmental Engineering, Vol. 17, No. 8, August 2020" uses the OPNET simulation platform to establish a missile-borne communication jamming model, and depicts the signal transmission model in a typical combat environment in the process of the interfered object. According to the TIREM4 terrain model built into OPNET, the terrain undulations from the missile-borne communication jammer to each radio node are determined, and the missile-borne communication jammer is simulated to what height it will be affected by terrain obstruction and the interference effects of different bands when it descends, so as to provide strong decision-making support for commanders to use missile-borne communication jammers reasonably in a certain combat environment and maximize the combat effectiveness of the jammer. However, this scheme only analyzes the jamming effect on the radio when the projection point position of the jammer on the ground remains unchanged, and does not compare the interference effects of other projection points, and cannot provide commanders with more available information.

[0004] In the document "Research on Transmission Optimization Technology of UAV Relay Communication Network, Master's Thesis, Xidian University, September 1, 2022", by considering the real application scenarios in the UAV relay communication network, combined with the number, location, and mobility model of UAV relays and interference nodes, a UAV relay communication network model considering the interference environment is established, different simulation schemes are set, and OPNET is used for simulation. A mobile model of UAV relay nodes is established, and game theory knowledge is applied to the decision-making of UAVs when moving, so that UAVs can save energy while gaining strong anti-interference capabilities. Therefore, this scheme uses simulation results to provide decision support for the flight path of relay UAVs to avoid interference from jammers. Summary of the invention

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

[0006] The present invention solves the above technical problems by the following technical means:

[0007] In a first aspect, the present invention proposes a method for simulating the regional coverage optimization distribution of a missile-borne communication jammer, the method comprising:

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

[0009] Control the jammer to move along the motion trajectory, and analyze the jamming performance data of the jammer on each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory based on the OPNET simulation platform;

[0010] 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, the time information and geographical location information corresponding to when the jammer achieves the best interference effect are determined.

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

[0012] Convert the terrain environment map of the current area into a two-dimensional grid map, divide the two-dimensional grid map into several two-dimensional tensors, use the same convolution kernel to perform convolution operation on all the divided tensors and then splice them, so as to obtain the corresponding constraint conditions when the jammer moves along the motion trajectory, and the constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the projection point on the ground is located during the movement process;

[0013] A regional adaptation function f is set based on the constraint conditions, wherein the adaptation function includes index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation matrix, and the natural electromagnetic radiation matrix respectively;

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

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

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

[0017] minf=a×α+b×β+c×γ+d×δ

[0018] Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

[0019] Furthermore, the interference performance data includes an average bit error rate of the entire network, an average delivery rate of the entire network, and an average throughput of the entire network.

[0020] Further, the time information and geographical location information corresponding to when the jammer achieves the best jamming effect are determined 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 motion trajectory, including:

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

[0022] In a second aspect, the present invention proposes a missile-borne communication jammer area coverage optimization distribution simulation system, 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] A simulation analysis module, used for controlling the jammer to move along the motion trajectory, and analyzing the jamming performance data of the jammer on each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory based on the OPNET simulation platform;

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

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

[0027] A parallel computing unit is used to convert a terrain 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, use the same convolution kernel to perform a convolution operation on all the divided tensors and then splice them to obtain the corresponding constraint conditions when the jammer moves along the motion trajectory, and the constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the projection point on the ground is located during the movement process;

[0028] An adaptation function setting unit, used to set a regional adaptation function f based on the constraint conditions, wherein the adaptation function includes index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation matrix, and the natural electromagnetic radiation matrix respectively;

[0029] The target optimization function establishment unit is used to obtain the weight corresponding to each indicator measurement degree based on the mathematical evaluation model, and establish the target optimization function based on each indicator measurement degree and its corresponding weight;

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

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

[0032] minf=a×α+b×β+c×γ+d×δ

[0033] Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

[0034] Furthermore, the interference performance data includes an average bit error rate of the entire network, an average delivery rate of the entire network, and an average throughput of the entire network.

[0035] Furthermore, the location determination module is specifically used to:

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

[0037] The advantages of the present invention are:

[0038] (1) The present invention takes into account the actual application scenarios of missile-borne communication jammers, that is, the projection position of the jammer on the ground is not fixed, but will be affected by objective factors such as meteorological conditions or its own material. When affected by atmospheric resistance, the density, humidity and pressure of the atmosphere at different positions are different, which causes the position of the missile-borne communication jammer moving in the air to change, that is, there is a motion trajectory. The present invention fully considers the environmental factors of the current area to plan the motion trajectory of the missile-borne communication jammer, uses the network simulation software OPNET as the carrier platform, analyzes the interference performance data of the jammer on each group of communication radio stations in the current area when it is placed at different positions on the motion trajectory, and then analyzes the interference effect of the jammer on each group of communication radio stations in the current area when it moves to each position based on the interference performance data. This can help commanders display and grasp the quality of the missile-borne communication jammer in the process of movement in real time, and determine the time information and geographical location information corresponding to the best interference effect of the missile-borne communication jammer, thereby improving the commander's command decision-making ability.

[0039] (2) In actual use, missile-borne communication jammers face a complex and changeable environment, and it is difficult to determine how to distribute the missile-borne communication jammers to interfere with radio stations. The present invention takes into account the elevation size, vegetation distribution, terrain undulations, and natural electromagnetic radiation situation of the ground projection point of the missile-borne communication jammer, and plans the movement trajectory of the jammer in advance to provide commanders with a detailed and practical reference plan; and uses the time controller in the OPNET simulation platform as an application platform to observe the interference effect of the jammer in motion in real time, and which position is the best, so as to provide commanders with tactical references.

[0040] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of a method for simulating the regional coverage optimization distribution of a missile-borne communication jammer proposed in one embodiment of the present invention;

[0042] Figure 2 is a scene topology diagram of the current area in one embodiment of the present invention;

[0043] Figure 3 It is a schematic diagram of trajectory setting of a missile-borne communication jammer in one embodiment of the present invention;

[0044] Figure 4 It is a running track position information diagram of a missile-borne communication jammer in one embodiment of the present invention;

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

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

[0047] Figure 7 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 1 is a schematic diagram of the maximum interference effect position of the jammer on radio station 3 and radio station 4 in one embodiment of the present invention, wherein (a) is the maximum interference effect position of the jammer on radio station 3, and (b) is the maximum interference effect position of the jammer on radio station 4;

[0049] Fig. 9 is a topographic profile of a jammer and radio stations 3 and 4 in one embodiment of the present invention, wherein (a) is a topographic profile of a jammer and radio station 3, and (b) is a topographic profile of a jammer and radio station 4;

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

[0051] Fig.11 It is a schematic diagram of the position where the interference effect of the jammer on radio stations 5 and 6 is the greatest in one embodiment of the present invention;

[0052] Fig.12 is a topographic profile of a jammer and radio stations 5 and 6 in one embodiment of the present invention, wherein (a) is a topographic profile of a jammer and radio station 5, and (b) is a topographic profile of a jammer and radio station 6;

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

[0054] Fig.14 It is a schematic diagram of the position where the interference effect of the jammer on radio stations 7 and 8 is the greatest in one embodiment of the present invention;

[0055] Fig.15 is a topographic profile of a jammer and radio stations 7 and 8 in one embodiment of the present invention, wherein (a) is a topographic profile of a jammer and radio station 7, and (b) is a topographic profile of a jammer and radio station 8;

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

[0057] Fig.17It is a schematic diagram of the position where the jammer has the greatest interference effect on all radio stations in the entire network in one embodiment of the present invention;

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

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

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

[0061] Fig.21 It is a structural schematic diagram of a missile-borne communication jammer area coverage optimization distribution simulation system proposed in one embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 method for simulating the regional coverage optimization distribution of missile-borne communication jammers, and 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 interference effect of the missile-borne communication jammer will be affected by environmental factors, in order to make the results more realistic, this embodiment combines the topographic map data, considers the terrain environmental factors of the current area, and plans the movement trajectory of the missile-borne communication jammer in the current area.

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

[0067] It should be noted 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 a relatively detailed manner. The communication nodes here are rich in connotation. Any network node that can send and receive simulated data packets between two points can be regarded as a communication terminal in OPNET. At the same time, when simulating the sending and receiving of data packets, OPNET can collect and organize a large number of simulation results and conduct real-time comparisons. More importantly, the display of simulation results can be artificially assumed, which is convenient for users to set as needed.

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

[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, uses the network simulation software OPNET as the carrier platform, and analyzes the interference performance data of the jammer on each group of communication radio stations in the current area when the jammer is placed at different positions on the movement trajectory, thereby analyzing the interference effect of the jammer on each group of communication radio stations in the current area when it moves to each position based on the interference performance data. This can help commanders display and grasp the quality of the task completed by the missile-borne communication jammer during the movement in real time, and determine the time information and geographic location information corresponding to the best interference effect of the missile-borne communication jammer, thereby improving the commander's command decision-making ability.

[0070] As a further preferred technical solution, the step S10: planning the movement trajectory of the missile-borne communication jammer based on the environmental factors of the current area, specifically includes the following steps:

[0071] S11, converting the terrain environment map of the current area into a two-dimensional grid map, dividing the two-dimensional grid map into a number of two-dimensional tensors, using the same convolution kernel to perform convolution operation on all the divided tensors and then splicing them, to obtain the corresponding constraint conditions when the jammer moves 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 projection point on the ground is located during the movement process;

[0072] It should be noted that, assuming that the starting point of the missile-borne communication jammer's movement path is P1, the points in the middle are P2, P3...P n In order to make the missile-borne communication jammer not affected by external factors during movement, it is necessary to set the elevation H (H1...H n )、Vegetation G(G1...G n), terrain undulation T(T1...T n ), natural electromagnetic radiation R (R1...R n ) as a constraint.

[0073] However, due to the large number of points along the way, the amount of data is quite large. In order to improve the computational efficiency, a parallel computing method based on "convolution" is used to decompose the computational task into multiple subtasks, and then execute these subtasks in parallel on multiple computing units to increase the computational speed. Therefore, the terrain map of the terrain environment is converted into a two-dimensional grid map, and the two-dimensional grid map is divided into several two-dimensional tensors. The same convolution kernel is used to convolve all the tensors after division, and then spliced ​​after parallel computing. In this way, the elevation matrix H, vegetation matrix G, terrain undulation matrix T, and natural electromagnetic radiation matrix R of the environment where each moving position of the missile-borne communication jammer is located at the ground projection point can be obtained.

[0074] S12, setting a regional adaptation function f=a×α+b×β+c×γ+d×δ based on the constraint conditions, wherein the adaptation function includes independent variables such as index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation 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 set an optimal motion 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 influence on the jammer's interference performance, thereby achieving a better interference 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, deriving the weight corresponding to each indicator measurement degree, and establishing the target optimization function based on each indicator measurement degree and its corresponding weight;

[0077] It should be noted that, in this embodiment, a mathematical evaluation model is established to obtain the weights a, b, c, d of α, β, γ, δ, and the weights here are dynamically adjustable according to the actual characteristics of the terrain environment.

[0078] Specifically, this embodiment first establishes a secondary impact index system of elevation, vegetation, terrain undulation and natural electromagnetic radiation, then uses a two-level proportional method to obtain a judgment matrix, and then uses a hierarchical analysis method to calculate the secondary impact index weights.

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

[0080] minf=a×α+b×β+c×γ+d×δ

[0081] Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

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

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

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

[0085] As a further preferred technical solution, the step S30: 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, determine the time information and geographical location information corresponding to when the jammer achieves the best interference effect, specifically:

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

[0087] Specifically, assuming that there are several communication radio groups in the target area, for example, 4 groups, the movement trajectory of the jammer is as follows: Figure 2 As shown in Figure 2, after the terrain factor is introduced into the OPNET simulation platform, the jammer moves along the moving trajectory, and the height of the trajectory above the ground is 300m (as shown in Figure 2). Figure 3-Figure 4The planned moving trajectory is used to analyze the changes in the jammer's interference effect on each group of communication radio stations when the jammer is placed at different positions on the trajectory, so as to analyze and infer what rules the reasonable deployment position of the jammer should follow. In the scenario, 8 communication radio stations are deployed for two-to-two communication. The jammer model can be regarded as hovering at an altitude of 300m above the ground along the moving trajectory. Using the Time Controller control in the OPNET platform, during the simulation process, the missile-borne communication interference effect at each moment can be observed through the time frame window, as shown in the following figure. Figure 5-Figure 16 Check the corresponding relationship 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 jammer's interference effect on all radio stations in the entire network is as follows: Figure 17-Figure 20 shown.

[0088] It can be seen from the above simulation results that due to the influence of the terrain factors where each group of communication stations is located, when the jammer is located at a position relatively equidistant from each group of communication stations and without terrain obstruction, the interference effect is the best. At this time, the station is subject to the most interference and the signal-to-noise ratio is reduced to the lowest. For example, the jammer has similar effects on stations 1 and 2, 5 and 6, 7 and 8, or when the jammer is close to the station and there is no terrain obstruction, the interference effect is the best, such as the jammer has similar effects on stations 3 and 4. From a global perspective, when the jammer moves to a position relative to the center of all communication stations in the entire network and there is no terrain obstruction, the overall interference effect is the best. For example, when the jammer is closer to the center, the overall bit error rate increases, and the delivery rate and receiving throughput continue to decrease, indicating that the interference performance is better when the station is implemented at a relatively central position. Due to the complex and changeable positions of jammers and communication radio stations in actual situations, and the ever-changing terrain environment, it is difficult to exhaustively list and reflect all possible deployment situations through individual simulation scenarios. The trajectory planned here is only a rough simulation of what kind of rules the jammer effect generally follows when the relative positions of the jammer and the communication radio station change under the influence of terrain factors, and thus infer its deployment principles. In short, it can be inferred from the above results that deploying the jammer as far as possible at a relatively balanced central position or on a symmetrical axis from the entire network nodes, and avoiding terrain obstruction as much as possible, can bring a more ideal jamming effect.

[0089] In addition, if Fig.21 As shown, the second embodiment of the present invention also proposes a missile-borne communication jammer area coverage optimization distribution simulation system, 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] A simulation analysis module 20, used for controlling the jammer to move along the motion trajectory, and analyzing the jamming performance data of the jammer on each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory based on the OPNET simulation platform;

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

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

[0094] A parallel computing unit is used to convert a terrain 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, use the same convolution kernel to perform a convolution operation on all the divided tensors and then splice them to obtain the corresponding constraint conditions when the jammer moves along the motion trajectory, and the constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the projection point on the ground is located during the movement process;

[0095] An adaptation function setting unit, used to set a regional adaptation function f based on the constraint conditions, wherein the adaptation function includes index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation matrix, and the natural electromagnetic radiation matrix respectively;

[0096] The target optimization function establishment unit is used to obtain the weight corresponding to each indicator measurement degree based on the mathematical evaluation model, and establish the target optimization function based on each indicator measurement degree and its corresponding weight;

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

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

[0099] minf=a×α+b×β+c×γ+d×δ

[0100] Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

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

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

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

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

[0105] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0106] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0107] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for simulating the regional coverage optimization distribution of missile-borne communication jammers, characterized in that: The method comprises: Based on the environmental factors in the current area, the movement trajectory of the missile-borne communication jammer is planned; Control the jammer to move along the motion trajectory, and analyze the jamming performance data of the jammer on each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory based on the OPNET simulation platform; 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, the time information and geographical location information corresponding to when the jammer achieves the best interference effect are determined.

2. The missile-borne communication jammer area coverage optimization distribution simulation method according to claim 1, characterized in that: The planning of the movement trajectory of the missile-borne communication jammer based on the environmental factors of the current area includes: Convert the terrain environment map of the current area into a two-dimensional grid map, divide the two-dimensional grid map into several two-dimensional tensors, use the same convolution kernel to perform convolution operation on all the divided tensors and then splice them, so as to obtain the corresponding constraint conditions when the jammer moves along the motion trajectory, and the constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the projection point on the ground is located during the movement process; A regional adaptation function f is set based on the constraint conditions, wherein the adaptation function includes index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation matrix, and the natural electromagnetic radiation matrix respectively; Based on the mathematical evaluation model, the weights corresponding to the measurement of each indicator are obtained, and based on the measurement of each indicator and its corresponding weight, the target optimization function is established; The target optimization function is solved by using a dynamic programming algorithm to plan the motion trajectory of the jammer.

3. The missile-borne communication jammer area coverage optimization distribution simulation method as described in claim 2 is characterized in that: The formula of the objective optimization function is expressed as: minf=a×α+b×β+c×γ+d×δ Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

4. The missile-borne communication jammer area coverage optimization distribution simulation method as described in claim 1 is characterized in that: The interference performance data includes the average bit error rate of the entire network, the average delivery rate of the entire network and the average throughput of the entire network.

5. The method for simulating the regional coverage optimization distribution of missile-borne communication jammers according to claim 4, characterized in that: The method of determining the time information and geographical location information corresponding to when the jammer achieves the best jamming effect 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 motion trajectory includes: According to the interference performance data of each group of communication radio stations in the current area when the jammer is placed at different positions of the motion trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on the axis of symmetry from the entire network communication nodes and without terrain obstruction.

6. A missile-borne communication jammer area coverage optimization distribution simulation system, characterized in that: The system comprises: 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; A simulation analysis module, used for controlling the jammer to move along the motion trajectory, and analyzing the jamming performance data of the jammer on each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory based on the OPNET simulation platform; The location determination module is used to determine the time information and geographic location information corresponding to when the jammer achieves the best jamming effect based on the jamming performance data of each group of communication stations in the current area when the jammer is placed at different positions of the motion trajectory.

7. The missile-borne communication jammer area coverage optimization distribution simulation system as described in claim 6 is characterized in that: The motion trajectory planning module comprises: A parallel computing unit is used to convert a terrain 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, use the same convolution kernel to perform a convolution operation on all the divided tensors and then splice them to obtain the corresponding constraint conditions when the jammer moves along the motion trajectory, and the constraint conditions are the elevation matrix, vegetation matrix, terrain undulation matrix and natural electromagnetic radiation matrix of the environment where the projection point on the ground is located during the movement process; An adaptation function setting unit, used to set a regional adaptation function f based on the constraint conditions, wherein the adaptation function includes index measurement degrees corresponding to the elevation matrix, the vegetation matrix, the terrain undulation matrix, and the natural electromagnetic radiation matrix respectively; The target optimization function establishment unit is used to obtain the weight corresponding to each indicator measurement degree based on the mathematical evaluation model, and establish the target optimization function based on each indicator measurement degree and its corresponding weight; The trajectory planning unit is used to solve the target optimization function and plan the motion trajectory of the jammer.

8. The missile-borne communication jammer area coverage optimization distribution simulation system as claimed in claim 6, characterized in that: The formula of the objective optimization function is expressed as: minf=a×α+b×β+c×γ+d×δ Where α, β, γ, and δ represent the index measurement of elevation matrix, vegetation matrix, terrain undulation matrix, and natural electromagnetic radiation matrix, respectively; a, b, c, and d represent the weights corresponding to the index measurement α, β, γ, and δ, respectively.

9. The missile-borne communication jammer area coverage optimization distribution simulation system as claimed in claim 6, characterized in that: The interference performance data includes the average bit error rate of the entire network, the average delivery rate of the entire network and the average throughput of the entire network.

10. The missile-borne communication jammer area coverage optimization distribution simulation system as claimed in claim 6, characterized in that: The position determination module is specifically used for: According to the interference performance data of each group of communication radio stations in the current area when the jammer is placed at different positions of the motion trajectory, it is determined that the jammer achieves the best interference effect when it is deployed at a relatively balanced central position or on the axis of symmetry from the entire network communication nodes and without terrain obstruction.

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