Unmanned aerial vehicle type stealth target dynamic simulation interference method and device

Abstract

The invention provides an unmanned aerial vehicle type stealth target dynamic simulation interference method and device which are applied to the technical field of radar countermeasure, and the method comprises the steps: obtaining target parameters corresponding to a stealth target; simulation parameters corresponding to the simulation target are determined according to the target parameters, and the simulation parameters comprise simulation track parameters and simulation speed parameters of the simulation target in the flight process, simulation distance parameters between the simulation target and the radar, and simulation intensity parameters corresponding to emission signals of the simulation target; and configuring simulation parameters on the simulation target so as to simulate the stealth target. According to the dynamic simulation method for the stealth target provided by the embodiment of the invention, the internal relationship between the target parameter corresponding to the stealth target and the simulation parameter corresponding to the simulation target is analyzed, so that the dynamic characteristics of the stealth target can be effectively simulated, and the training environment is constructed based on the stealth target obtained through simulation; and the dynamic performance of the training environment is improved on the basis of reducing the construction cost.

Description

Technical Field

[0001] The present application relates to the field of radar countermeasure technology, and more specifically, to a method and device for dynamic simulation interference of drone-type stealth targets. Background Art

[0002] With technological advancements, stealth targets have rapidly developed, and the emergence of these targets has made the battlefield environment increasingly complex. To improve our ability to respond to these targets, it is necessary to create similar training environments. Only by conducting combat training in a highly realistic simulated electromagnetic environment can we promptly identify our military's weaknesses against these targets and improve our response capabilities.

[0003] The construction of a training environment can be divided into outdoor and indoor environments. Outdoor environments are generally constructed through the establishment of range test bases. These test bases provide realistic test environments and comprehensive training systems, capable of meeting the needs of training in various types of complex electromagnetic environmental effects. However, these outdoor tests are relatively expensive and complex. Indoor testing, on the other hand, involves analysis and training conducted indoors. Early indoor testing research was relatively simple, but now it is beginning to develop towards comprehensive simulations of complex electromagnetic environments, capable of simulating the synergistic effects of multiple electromagnetic environmental factors. However, its dynamic performance is poor and its cost remains high. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide a method and device for dynamic simulation interference of drone-type stealth targets, so as to solve the technical problems of poor dynamic performance and high cost when constructing a training environment in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a method for dynamic simulation interference of a UAV-type stealth target, comprising: obtaining target parameters corresponding to the stealth target; determining simulation parameters corresponding to the simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the transmission signal of the simulated target; configuring the simulation parameters on the simulated target to simulate the stealth target.

[0006] In the above scheme, the impact of stealth targets on radar detection is analyzed. When using simulated targets to simulate stealth targets, parameters such as trajectory, distance, speed, and intensity should be considered. Therefore, the UAV-based stealth target dynamic simulation jamming method provided in the embodiments of the present application can effectively simulate the dynamic characteristics of the stealth target by analyzing the inherent relationship between the target parameters corresponding to the stealth target and the simulation parameters corresponding to the simulated target, thereby constructing a training environment based on the simulated stealth target. Compared with the methods of constructing training environments in the prior art, the UAV-based stealth target dynamic simulation jamming method provided in the embodiments of the present application can improve the dynamic performance of the training environment while reducing construction costs.

[0007] In an optional embodiment, the target parameters include target trajectory parameters of the stealth target during flight, and determining the simulation parameters corresponding to the simulated target based on the target parameters includes determining the simulated trajectory parameters based on the target trajectory parameters. In the above solution, when using the simulated target to simulate the stealth target, the flight trajectory of the simulated target should be considered. Therefore, the simulated trajectory parameters corresponding to the simulated target can be determined based on the target trajectory parameters corresponding to the stealth target, thereby increasing the accuracy of the simulated trajectory parameters.

[0008] In an optional embodiment, the target parameters include the target trajectory parameters and target signal transmission parameters of the stealth target during flight, and determining the simulation parameters corresponding to the simulated target based on the target parameters includes: determining the simulation trajectory parameters based on the target trajectory parameters; determining the delay time corresponding to the transmission signal of the simulated target based on the target trajectory parameters and the simulation trajectory parameters; and determining the simulation distance parameters based on the target signal transmission parameters and the delay time. In the above scheme, by delaying the transmission signal of the simulated target, an accurate simulation of the distance between the stealth target and the radar can be achieved. Therefore, the delay time corresponding to the transmission signal of the simulated target can be adjusted in real time according to the target trajectory parameters of the stealth target to ensure that the transmission signal of the simulated target matches the actual distance of the stealth target.

[0009] In an optional embodiment, the target parameters include the target trajectory parameters and motion parameters of the stealth target during flight. Determining the simulation parameters corresponding to the simulated target based on the target parameters includes: determining the Doppler frequency corresponding to the simulated target's transmitted signal based on the target trajectory parameters, the motion parameters, and the output frequency of the simulated target; and determining the simulated speed parameter based on the Doppler frequency. In the above scheme, different relative speeds cause the frequency of the echo signal received by the radar to change, thereby triggering the Doppler effect. This can be utilized to effectively simulate different speeds. Therefore, during simulation, the Doppler frequency can be accurately calculated based on the stealth target's target trajectory parameters, motion parameters, and other parameters, ensuring that the simulated echo signal truly reflects the stealth target's motion characteristics.

[0010] In an optional embodiment, the target parameters include the target trajectory parameters of the stealth target during flight and the radar cross-sectional area parameters corresponding to the stealth target. The determination of the simulation parameters corresponding to the simulated target based on the target parameters includes: determining the azimuth and pitch angle corresponding to the simulated target based on the target trajectory parameters; determining the radar cross-sectional area parameters based on the azimuth and pitch angles; determining the simulated transmission power corresponding to the transmission signal of the simulated target based on the radar cross-sectional area and the simulated transmission parameters corresponding to the simulated target; and determining the simulation intensity parameter based on the simulated transmission power. In the above scheme, the intensity of the simulation signal is closely related to the simulated transmission power corresponding to the transmission signal of the simulated target. Since the simulated transmission power corresponding to the transmission signal of the simulated target is affected by both its own parameters and the target parameters, the power of the transmission signal can be accurately calculated based on the simulation parameters and the target parameters to ensure that the simulated echo signal can truly reflect the motion characteristics of the target.

[0011] In an optional embodiment, the method for dynamic simulated jamming of a stealth drone target further includes: constructing a relationship matrix between the simulation parameters and the target parameters; and determining a matching model between the target parameters and the simulation parameters based on the relationship matrix, wherein the matching model is used to determine the simulation parameters based on the target parameters. In the above scheme, by constructing a relationship matrix between the simulation parameters corresponding to the simulation target and the target parameters corresponding to the stealth target, a mathematical model of the simulated target's forwarding delay, Doppler frequency, and power that matches the stealth target's trajectory is derived.

[0012] In an optional embodiment, the relationship matrix is:

[0013]

[0014] Among them, [x′,y′,z′,v′,Δt,f d,P j ] T are the simulation parameters, (x′, y′, z′) represents the position of the simulated target, v′ represents the speed of the simulated target, Δt represents the delay time corresponding to the emission signal of the simulated target, and f d represents the Doppler frequency corresponding to the transmitted signal of the simulated target, P j represents the simulated transmission power corresponding to the transmission signal of the simulated target, (x, y, z) represents the position of the stealth target, v represents the speed of the stealth target, σ represents the radar cross-section corresponding to the stealth target, R t represents the distance between the stealth target and the radar, k is the proportional coefficient, f0 is the output frequency of the simulated target, α is the track angle of the simulated target, t 总 is the total flight time of the simulated target, K j is the suppression coefficient, P t are the radar’s transmitting power, G t is the radar antenna gain, G j is the antenna gain of the simulated target, γ j is the polarization coefficient of the simulated target's transmitted signal to the radar antenna, [x,y,z,v,σ,R t ] T is the target parameter.

[0015] In the second aspect, an embodiment of the present application provides a UAV-type stealth target dynamic simulation interference device, including: an acquisition module for acquiring target parameters corresponding to the stealth target; a first determination module for determining simulation parameters corresponding to the simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the transmission signal of the simulated target; a simulation module for configuring the simulation parameters on the simulated target to simulate the stealth target.

[0016] In the above scheme, from the perspective of the influence of stealth targets on radar detection, the simulation of stealth targets using simulated targets should consider parameters such as trajectory, distance, speed, and intensity. Therefore, the UAV-type stealth target dynamic simulation jamming device provided in the embodiment of the present application can effectively simulate the dynamic characteristics of the stealth target by analyzing the intrinsic relationship between the target parameters corresponding to the stealth target and the simulation parameters corresponding to the simulated target, and then construct a training environment based on the stealth target obtained by the above simulation. Compared with the method of constructing a training environment in the prior art, the UAV-type stealth target dynamic simulation jamming device provided in the embodiment of the present application can improve the dynamic performance of the training environment while reducing the construction cost.

[0017] In an optional embodiment, the target parameters include target trajectory parameters of the stealth target during flight, and the first determination module is specifically configured to determine the simulated trajectory parameters based on the target trajectory parameters. In the above embodiment, when using a simulated target to simulate a stealth target, the flight trajectory of the simulated target should be considered. Therefore, the simulated trajectory parameters corresponding to the simulated target can be determined based on the target trajectory parameters corresponding to the stealth target, thereby increasing the accuracy of the simulated trajectory parameters.

[0018] In an optional embodiment, the target parameters include the target trajectory parameters and target signal transmission parameters of the stealth target during flight, and the first determination module is specifically used to: determine the simulated trajectory parameters based on the target trajectory parameters; determine the delay time corresponding to the transmission signal of the simulated target based on the target trajectory parameters and the simulated trajectory parameters; and determine the simulated distance parameters according to the target signal transmission parameters and the delay time. In the above scheme, by delaying the transmission signal of the simulated target, an accurate simulation of the distance between the stealth target and the radar can be achieved. Therefore, the delay time corresponding to the transmission signal of the simulated target can be adjusted in real time according to the target trajectory parameters of the stealth target to ensure that the transmission signal of the simulated target matches the actual distance of the stealth target.

[0019] In an optional embodiment, the target parameters include the target trajectory parameters and motion parameters of the stealth target during flight. The first determination module is specifically configured to: determine the Doppler frequency corresponding to the simulated target's transmitted signal based on the target trajectory parameters, the motion parameters, and the output frequency of the simulated target; and determine the simulated speed parameter based on the Doppler frequency. In the above scheme, different relative speeds cause the frequency of the echo signal received by the radar to change, thereby inducing the Doppler effect. This can be utilized to effectively simulate different speeds. Therefore, during simulation, the Doppler frequency can be accurately calculated based on the stealth target's target trajectory parameters, motion parameters, and other parameters, ensuring that the simulated echo signal truly reflects the stealth target's motion characteristics.

[0020] In an optional embodiment, the target parameters include the target trajectory parameters of the stealth target during flight and the radar cross-sectional area parameters corresponding to the stealth target. The first determination module is specifically used to: determine the azimuth and pitch angle corresponding to the simulated target according to the target trajectory parameters; determine the radar cross-sectional area parameters according to the azimuth and pitch angle; determine the simulated transmission power corresponding to the transmission signal of the simulated target based on the radar cross-sectional area parameters and the simulated transmission parameters corresponding to the simulated target; and determine the simulated intensity parameter according to the simulated transmission power. In the above scheme, the intensity of the simulated signal is closely related to the simulated transmission power corresponding to the transmission signal of the simulated target. Since the simulated transmission power corresponding to the transmission signal of the simulated target is affected by both its own parameters and target parameters, the power of the transmission signal can be accurately calculated based on the simulation parameters and target parameters to ensure that the simulated echo signal can truly reflect the motion characteristics of the target.

[0021] In an optional embodiment, the UAV-type stealth target dynamic simulation jamming device further includes: a construction module for constructing a relationship matrix between the simulation parameters and the target parameters; and a second determination module for determining a matching model between the target parameters and the simulation parameters based on the relationship matrix, wherein the matching model is used to determine the simulation parameters based on the target parameters. In the above scheme, by constructing a relationship matrix between the simulation parameters corresponding to the simulation target and the target parameters corresponding to the stealth target, a mathematical model of the forwarding delay, Doppler frequency, and power of the simulated target that matches the stealth target trajectory is derived.

[0022] In an optional embodiment, the relationship matrix is:

[0023]

[0024] Among them, [x′,y′,z′,v′,Δt,f d ,P j ] T are the simulation parameters, (x′, y′, z v ) represents the position of the simulated target, v′ represents the speed of the simulated target, Δt represents the delay time corresponding to the emission signal of the simulated target, f d represents the Doppler frequency corresponding to the transmitted signal of the simulated target, P j represents the simulated transmission power corresponding to the transmission signal of the simulated target, (x, y, z) represents the position of the stealth target, v represents the speed of the stealth target, σ represents the radar cross-section corresponding to the stealth target, R trepresents the distance between the stealth target and the radar, k is the proportional coefficient, f0 is the output frequency of the simulated target, α is the track angle of the simulated target, t 总 is the total flight time of the simulated target, K j is the suppression coefficient, P t are the radar’s transmitting power, G t is the radar antenna gain, G j is the antenna gain of the simulated target, γ j is the polarization coefficient of the simulated target's transmitted signal to the radar antenna, [x,y,z,v,σ,R t ] T is the target parameter.

[0025] In a third aspect, an embodiment of the present application provides a computer program product, comprising computer program instructions, which, when read and executed by a processor, execute the method for dynamic simulation interference of drone-type stealth targets as described in the first aspect.

[0026] In a fourth aspect, an embodiment of the present application provides an electronic device comprising: a processor, a memory, and a bus; the processor and the memory communicate with each other through the bus; the memory stores computer program instructions that can be executed by the processor, and the processor calls the computer program instructions to execute the dynamic simulation interference method of the drone-type stealth target as described in the first aspect.

[0027] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are executed by a computer, the computer executes the method for dynamic simulation interference of drone-type stealth targets as described in the first aspect.

[0028] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following specifically cites the embodiments of the present application and provides a detailed description in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 A flowchart of a method for dynamic simulation interference of a drone-type stealth target provided in an embodiment of the present application;

[0031] Figure 2 A schematic diagram of a model provided in an embodiment of the present application;

[0032] Figure 3 A trajectory diagram of a stealth target provided in an embodiment of the present application;

[0033] Figure 4 A trajectory diagram of a simulated target provided in an embodiment of the present application;

[0034] Figure 5 Delay time diagram provided for the embodiment of the present application;

[0035] Figure 6 The Doppler shift diagram provided in the embodiment of the present application;

[0036] Figure 7 A diagram of azimuth angle changes provided in an embodiment of the present application;

[0037] Figure 8 A diagram of pitch angle changes provided in an embodiment of the present application;

[0038] Figure 9 The RCS change diagram provided in the embodiment of this application;

[0039] Figure 10 The simulated target power diagram provided in the embodiment of the present application;

[0040] Figure 11 This is a structural block diagram of a UAV-type stealth target dynamic simulation jamming device provided in an embodiment of the present application;

[0041] Figure 12 This is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0043] Please refer to Figure 1 , Figure 1 This is a flow chart of a method for dynamic simulation jamming of a drone-type stealth target provided by an embodiment of the present application. The method for dynamic simulation jamming of a drone-type stealth target can be, but is not limited to, executed by an electronic device. Figure 12 The possible structure of the electronic device is shown. For details, please refer to the following Figure 12 The above-mentioned method for dynamic simulation interference of drone-type stealth targets may specifically include the following steps:

[0044] Step S101: Obtain target parameters corresponding to the stealth target.

[0045] Step S102: Determine simulation parameters corresponding to the simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the simulated target's transmission signal.

[0046] Step S103: configuring simulation parameters on the simulation target to simulate the stealth target.

[0047] Specifically, in the above step S101, the stealth target refers to the target object that needs to be simulated, for example, the stealth target can be a stealth aircraft, wherein the stealth aircraft is an aircraft that uses various technical means to reduce its own detectability, making it difficult for enemy radar, infrared and other detection equipment to detect or track it.

[0048] Target parameters refer to the parameters corresponding to the stealth target that you want to obtain through simulation. For example, trajectory parameters refer to the stealth target obtained through simulation that is equivalent to the trajectory motion corresponding to the above trajectory parameters. It should be noted that the embodiments of this application do not specifically limit the specific implementation of the target parameters, and those skilled in the art can make appropriate adjustments based on actual conditions. For example, the target parameters may include trajectory parameters, speed parameters, angle parameters, radar cross-section (RCS) parameters, etc. corresponding to the stealth target.

[0049] Furthermore, the embodiments of this application do not specifically limit the specific implementation method for obtaining target parameters corresponding to a stealth target, and those skilled in the art may make appropriate adjustments based on actual circumstances. For example, target parameters may be received from an external device; or, target parameters may be read from a local or pre-stored local device or a local server; or, target parameters may be determined based on parameter instructions transmitted in real time.

[0050] In step S102, the simulated target refers to an object used to simulate a stealth target, for example, a drone equipped with a jammer. By configuring different parameters for the simulated target, stealth targets with different target parameters can be simulated.

[0051] As an implementation method, the simulation parameters may include a simulated trajectory parameter and a simulated speed parameter of the simulated target during flight, a simulated distance parameter between the simulated target and the radar, and a simulated intensity parameter corresponding to the simulated target's transmitted signal. The simulated trajectory parameter refers to the trajectory along which the simulated target must move, the simulated speed parameter refers to the parameter at which the simulated target must transmit its signal at the simulated speed, the simulated distance parameter represents the distance between the simulated target and the radar, and the simulated intensity parameter represents the power corresponding to the simulated target's transmitted signal.

[0052] It should be noted that, in addition to the above four parameters, the simulation parameters may also include other parameters, which are not specifically limited in the embodiments of the present application, and those skilled in the art may make appropriate adjustments based on actual conditions.

[0053] Furthermore, the embodiments of this application do not specifically limit the specific implementation of determining the simulation parameters corresponding to the simulation target based on the target parameters. Persons skilled in the art may make appropriate adjustments based on actual circumstances. For example, the target parameters may be input into a pre-trained deep learning model to obtain the output simulation parameters; alternatively, the simulation parameters may be obtained based on a pre-constructed model that characterizes the relationship between the target parameters and the simulation parameters.

[0054] In the above step S103, by configuring the simulation parameters obtained in the above step S102 on the simulation target, the stealth target can be simulated, and the stealth target obtained by the simulation has the target parameters obtained in the above step S101.

[0055] In the above scheme, the impact of stealth targets on radar detection is analyzed. When using simulated targets to simulate stealth targets, parameters such as trajectory, distance, speed, and intensity should be considered. Therefore, the UAV-based stealth target dynamic simulation jamming method provided in the embodiments of the present application can effectively simulate the dynamic characteristics of the stealth target by analyzing the inherent relationship between the target parameters corresponding to the stealth target and the simulation parameters corresponding to the simulated target, thereby constructing a training environment based on the simulated stealth target. Compared with the methods of constructing training environments in the prior art, the UAV-based stealth target dynamic simulation jamming method provided in the embodiments of the present application can improve the dynamic performance of the training environment while reducing construction costs.

[0056] Furthermore, based on the above embodiment, the method for dynamic simulation jamming of a drone-type stealth target provided in the embodiment of the present application may further include the following steps:

[0057] Step 1), construct the relationship matrix between simulation parameters and target parameters.

[0058] Step 2) determining a matching model between the target parameters and the simulation parameters based on the relationship matrix, wherein the matching model is used to determine the simulation parameters according to the target parameters.

[0059] Specifically, in the above step 1), by deducing the relationship between the simulation parameters and the target parameters and organizing them into a matrix form, a relationship matrix between the simulation parameters and the target parameters can be obtained. As an implementation method, the above relationship matrix can be expressed as:

[0060]

[0061] Among them, [x′,y′,z′,v′,Δt,f d ,P j ] T are simulation parameters, (x′, y′, z′) represents the position of the simulated target, v′ represents the speed of the simulated target, Δy represents the delay time corresponding to the emission signal of the simulated target, and f d Indicates the Doppler frequency corresponding to the transmitted signal of the simulated target, P j represents the simulated transmission power corresponding to the transmission signal of the simulated target, (x, y, z) represents the position of the stealth target, v represents the speed of the stealth target, σ represents the radar cross-section corresponding to the stealth target, R t represents the distance between the stealth target and the radar, k is the proportional coefficient, f0 is the output frequency of the simulated target, α is the track angle of the simulated target, t 总 is the total flight time of the simulated target, K j is the suppression coefficient, P t are the radar’s transmitting power, G t is the radar antenna gain, G j is the antenna gain of the simulated target, γ j To simulate the polarization coefficient of the target's transmitted signal to the radar antenna, [x,y,z,v,σ,R t ] T is the target parameter.

[0062] In the above step 2), based on the relationship matrix constructed in the above step 1), a matching model between the target parameters and the simulation parameters can be determined, so that the simulation parameters can be determined according to the target parameters based on the above matching model.

[0063] In the above scheme, by constructing a relationship matrix between the simulation parameters corresponding to the simulated target and the target parameters corresponding to the stealth target, the mathematical models of the forwarding delay, Doppler frequency and power of the simulated target that match the stealth target trajectory are derived.

[0064] Furthermore, based on the above embodiment, after constructing the relationship matrix between the simulation parameters and the target parameters, the following can be constructed: Figure 2 The model shown here establishes a three-dimensional coordinate system with the ground radar as the origin. Let the initial position of the stealth target be A(x1, y1, z) and the final position be B(x2, y2, z). Let the initial position of the simulated target be D(x4, y4, z′) and the final position be E(x5, y5, z′).

[0065] If the coordinates of a point on AB are C(x, y, z), let β be the angle between the stealth target's forward direction and the X-axis, then the specific coordinates of point C are:

[0066] x=x1+v cosβt;

[0067] y=y+v sinβt;

[0068]

[0069] Furthermore, based on the above embodiments, specific implementation methods for determining different simulation parameters are introduced below.

[0070] First, a specific implementation method for determining the simulated trajectory parameters of the simulated target during flight is introduced. In this case, the target parameters may include the target trajectory parameters of the stealth target during flight. The above step S102 may specifically include the following steps:

[0071] Simulation trajectory parameters are determined based on the target trajectory parameters.

[0072] Specifically, when using a simulated target to simulate a stealth target, the simulated target's flight trajectory should be considered first. As an implementation, the simulation can be based on a linear similarity relationship. Therefore, the simulated target's trajectory parameters are affected by the stealth target's trajectory parameters and the simulated target's own flight trajectory.

[0073] It is understandable that if the simulated target is a drone, due to its limited maneuverability, it cannot complete more difficult movements, and different trajectories will also affect radar detection, so its simulation trajectory parameters should be simple when setting.

[0074] For example, let the starting point coordinates of the simulated target be D(x4, y4, z′), the ending point coordinates be E(x5, y5, z′), and the position at a certain moment be F(x′, y′, z′). Since the positional relationship between the simulated target and the stealth target can be constructed through a similarity relationship, the simulated trajectory parameters corresponding to the simulated target can be obtained using the following proportional relationship:

[0075]

[0076] In the above scheme, when using a simulated target to simulate a stealth target, the flight trajectory of the simulated target should also be considered. Therefore, the simulated trajectory parameters corresponding to the simulated target can be determined based on the target trajectory parameters corresponding to the stealth target, thereby making the simulated trajectory parameters more accurate.

[0077] Next, a specific implementation method for determining the simulated distance parameters of the simulated target during flight is introduced. In this case, the target parameters include the target trajectory parameters and the target signal transmission parameters of the stealth target during flight. The above step S102 may specifically include the following steps:

[0078] Step 1) Determine simulation trajectory parameters based on target trajectory parameters.

[0079] Step 2) Determine the delay time corresponding to the emission signal of the simulated target based on the target trajectory parameters and the simulated trajectory parameters.

[0080] Step 3) Determine the simulated distance parameters according to the target signal transmission parameters and the delay time.

[0081] Specifically, in step 2) above, by delaying the simulated target's transmitted signal, accurate simulation of the stealth target's distance can be achieved. Therefore, the simulated target needs to be adjusted in real time based on the stealth target's corresponding trajectory parameters to ensure that the simulated signal delay matches the stealth target's actual distance.

[0082] As an implementation method, in order to enable the ground radar to effectively detect the simulated signal and improve the simulation effect, the simulated target can also be synchronized with the pulse repetition frequency of the radar to achieve signal synchronization.

[0083] For example, let R f is the distance between the stealth target and the radar, R d To simulate the distance between the target and the radar, then:

[0084]

[0085] So the delay time at a certain position is

[0086]

[0087] In step 3) above, since target distance information is determined by the time delay between the transmitted signal and the received echo during radar detection, delaying the simulated target's transmitted signal can simulate the effect of the target signal returning from different distances, thereby achieving accurate simulation of the simulated distance parameters. For example, if a stealth target gradually approaches the radar during flight, the simulated target will need to continuously reduce the delay time of the transmitted signal; if the stealth target gradually moves away from the radar, the simulated target will need to increase the delay time to ensure that the delay of the simulated signal always matches the actual distance to the target.

[0088] The target signal transmission parameters refer to the stealth target obtained through simulation, which is equivalent to transmitting signals according to the target signal transmission parameters. Therefore, the simulated distance parameters of the simulated target can be determined based on the target signal transmission parameters and the delay time.

[0089] In this approach, by delaying the simulated target's transmitted signal, the distance between the stealth target and the radar can be accurately simulated. Therefore, the delay time corresponding to the simulated target's transmitted signal can be adjusted in real time based on the stealth target's trajectory parameters to ensure that the simulated target's transmitted signal matches the stealth target's actual distance.

[0090] Furthermore, a specific implementation method for determining the simulated speed parameters of the simulated target during flight is introduced. In this case, the target parameters include the target trajectory parameters and motion parameters of the stealth target during flight. The above-mentioned step S102 may specifically include the following steps:

[0091] Step 1) Determine the Doppler frequency corresponding to the transmitted signal of the simulated target based on the target trajectory parameters, motion parameters and the output frequency of the simulated target.

[0092] Step 2), determine the simulated velocity parameters according to the Doppler frequency.

[0093] Specifically, in step 1) above, varying relative speeds cause the frequency of the echo signal received by the radar to change, triggering the Doppler effect. This can be exploited to effectively simulate varying speeds. Inaccurate calculation of the Doppler shift during simulation can severely impact model accuracy. Therefore, during simulation, the Doppler frequency can be accurately calculated based on parameters such as target speed and radar operating frequency, ensuring that the simulated echo signal accurately reflects the target's motion characteristics.

[0094] For example, the Doppler shift formula shows that it is affected by two factors: velocity and wavelength. Since wavelength is fixed, we need to find the velocity variable. This velocity is the radial velocity, which can be solved using the track angle of the simulated target.

[0095] Assume that the track angle of the simulated target is α, the total flight distance is L, the distance change in the X-axis direction is Δx, and the distance change in the Y-axis direction is Δy, then:

[0096] α=arctan(Δx / Δy);

[0097]

[0098]

[0099] Wherein, x=x1+vt sinα, y=y1+vt cosα.

[0100] Let θ be the radial angle, then

[0101]

[0102] So the radial velocity of the simulated target is (v is a vector)

[0103]

[0104] Therefore, the Doppler shift is

[0105]

[0106] In step 2) above, the Doppler effect is a crucial physical phenomenon in radar detection. When a target and radar are in relative motion, the frequency of the echo signal received by the radar differs from the frequency of the transmitted signal. This is known as the Doppler effect. The amount of frequency change (i.e., the Doppler shift) is closely related to the relative velocity between the target and the radar.

[0107] When simulating a stealth target, the Doppler effect can be used to simulate its varying speeds. Because a stealth aircraft's relative speed to the radar constantly changes during flight, the Doppler shift caused by this speed change is reflected in the signal received by the radar. By adjusting the frequency of the simulated target's transmitted signal to conform to the Doppler shift pattern at different relative speeds, the stealth target's varying speeds can be simulated. For example, to simulate a stealth target rapidly approaching a radar, the simulated target would need to transmit a signal with increasing frequency, so that the signal received by the radar reflects the Doppler signature of the approaching stealth target.

[0108] In the above scheme, varying relative speeds cause the frequency of the echo signal received by the radar to change, triggering the Doppler effect. This can be exploited to effectively simulate varying speeds. Therefore, during simulation, the Doppler frequency can be accurately calculated based on the stealth target's trajectory parameters, motion parameters, and other parameters, ensuring that the simulated echo signal truly reflects the stealth target's motion characteristics.

[0109] Finally, a specific implementation method for determining the simulation intensity parameters of the simulated target during flight is introduced. In this case, the target parameters include the target trajectory parameters of the stealth target during flight and the RCS parameters corresponding to the stealth target. The above step S102 may specifically include the following steps:

[0110] Step 1) Determine the azimuth and pitch angle corresponding to the simulated target based on the target trajectory parameters.

[0111] Step 2) Determine the radar cross-section parameters based on the azimuth and elevation angles.

[0112] Step 3) Determine the simulated transmit power corresponding to the transmit signal of the simulated target based on the radar cross-sectional area parameter and the simulated transmit parameters corresponding to the simulated target.

[0113] Step 4): Determine the simulated intensity parameter according to the simulated transmission power.

[0114] Specifically, in the above step 1), the azimuth and pitch angles corresponding to the simulated target can be determined according to the target trajectory parameters.

[0115] In step 2) above, the stealth target exhibits different RCSs at different observation angles. During the movement of a stealth aircraft, due to track changes and maneuvers, the radar's observation angle changes, causing variations in RCS. RCS is also related to electromagnetic wavelength. Radar waves of different lengths interact differently with the target, causing variations in RCS. This should be considered when selecting a radar.

[0116] As an implementation method, since the radar cross section area changes all the time, the radar cross section area data packet can be obtained according to the real-time azimuth and elevation angles.

[0117] In step 3), the strength of the simulated signal is closely related to the power of the simulated target. The interference equation shows that the power of the simulated target is influenced by both its own simulation parameters and the target parameters of the stealth target. As an implementation, the simulated target's own parameters are relatively easy to control, while the stealth target's information parameters are more complex and difficult to control, requiring comprehensive consideration of multiple factors such as distance and RCS. Therefore, during the simulation process, the influence of these factors must be fully considered to ensure simulation accuracy.

[0118] For example, the interference equation gives

[0119]

[0120] In the above step 4), the simulated transmission parameter can represent the strength of the transmission signal of the simulated target. Therefore, the simulated strength parameter can be determined according to the simulated transmission power.

[0121] In the above scheme, the simulated signal strength is closely related to the simulated transmit power corresponding to the simulated target's transmitted signal. Because the simulated transmit power corresponding to the simulated target's transmitted signal is affected by both its own parameters and the target's parameters, the transmit signal power can be accurately calculated based on the simulated and target parameters, ensuring that the simulated echo signal accurately reflects the target's motion characteristics.

[0122] The following example introduces the method for dynamic simulation interference of drone-type stealth targets provided by the embodiment of the present application. Assuming the speed of the stealth target is 340m / s, please refer to Figure 3 , Figure 3A trajectory diagram of a stealth target provided in an embodiment of the present application, wherein the flight trajectory is a straight line flight from point A (2000, -20000, 8000) to point B (-20000, 100000, 8000), then a straight line flight from point B to point H (10000, 105500, 8000), and finally a straight line flight from point H to point I (32000, -14500, 8000).

[0123] For the simulated trajectory parameters, the flight trajectory of the simulated target can be obtained by using the similarity relationship. Assuming the scale factor is 100, please refer to Figure 4 , Figure 4 This is a trajectory diagram of a simulated target provided in an embodiment of the present application. Its flight trajectory is a straight line from point D (20, -200, 80) to point E (-200, 1000, 80), then from point E to point J (100, 1055, 80), and finally from point J to point K (320, -145, 80). For ease of analysis, the subsequent examples only use segment AB for solution.

[0124] For the simulated distance parameters, assume that the operating frequency of the ground radar system is 6GHz, the radar transmission power is 10kW, and the gain is 50dB; the output frequency of the simulated target is 6GHz, the transmission power is 10kW, the interference antenna gain is 10dB, the polarization coefficient is 0.5, and the radar wavelength λ is 0.05m. Please refer to Figure 5 , Figure 5 In the delay time diagram provided for the embodiment of the present application, the delay time is only related to the distance between the simulated aircraft and the radar. Since its trajectory is set to first approach the radar and then move away from the radar, the delay time should also show a trend of first decreasing and then increasing, which is consistent with the theoretical analysis.

[0125] For the simulation speed parameters, the radar and simulation target setting parameters are the same as above. Figure 6 , Figure 6 The Doppler shift diagram provided in the embodiment of this application shows that the Doppler shift is related to the radial velocity. During the entire movement process, the distance between the stealth target and the radar first decreases and then increases, so there must be a point where the velocity direction is perpendicular to the direction of the line connecting the stealth target and the radar, that is, the radial velocity is zero. After this point, the radial velocity will be reversed, so the Doppler shift will become negative, which is given by Figure 6 It can be seen that the actual situation is consistent with the theoretical situation.

[0126] For the simulated attitude angle parameters, the azimuth angle φ is set to [0°, 360°], the pitch angle θ is set to [-90°, 90°], and the body coordinate system is established, with the forward direction of the nose as the x-axis, the direction perpendicular to the nose pointing to the right as the y-axis, and the direction perpendicular to the x and y axes downward as the z-axis. The azimuth angles of the nose direction are specified as 0° and 360°, the direction perpendicular to the nose pointing to the right is 90°, the direction of the tail of the aircraft is 180°, and 270° is the direction perpendicular to the left of the nose; the pitch angle is positive when the aircraft is tilted upward and negative when it is tilted downward; 90° means the aircraft is in an upright state with the nose fully upward and the tail downward, and -90° means the aircraft is in an upright state with the nose fully downward and the tail upward. Please refer to Figure 7 and Figure 8 , Figure 7 The azimuth angle change diagram provided in the embodiment of this application is: Figure 8 The pitch angle change diagram provided in the embodiment of the present application shows that by analyzing the target trajectory parameters, it can be seen that the simulated target is moving in a uniform straight line, and the distance between it and the radar first decreases and then increases, so the pitch angle should show a trend of first increasing and then decreasing. The simulation results are consistent with the theoretical analysis.

[0127] For the simulation intensity parameters, first select RCS according to azimuth and elevation angles, and then simulate the power. Figure 9 and Figure 10 , Figure 9 The RCS change diagram provided in the embodiment of this application is Figure 10 The simulated target power diagram provided in the embodiment of the present application shows that the simulated target power is related to RCS and distance. In the first 70 seconds, the RCS value of the target is positive and large, so the power is large at this time. After 70 seconds, the RCS value is negative and becomes very small after unit conversion. In addition, the distance between the target and the radar is getting farther and farther, which leads to a very small power value.

[0128] Therefore, to address the complex and costly challenges of constructing a training environment for counter-stealth operations, the present invention provides a method for dynamically simulating interference with drone-based stealth targets. By constructing a relationship matrix between simulation parameters and target parameters, mathematical models such as the simulated target's forwarding delay, Doppler frequency, and power that match the stealth target's trajectory are derived. Finally, simulation experiments verify that this method can effectively simulate the dynamic characteristics of stealth targets. The method provided in this embodiment of the present invention offers a new solution for dynamic simulation of stealth targets, which is of great significance for reducing the cost of radar counter-stealth operation training.

[0129] Please refer to Figure 11 , Figure 11A structural block diagram of a UAV-type stealth target dynamic simulation jamming device provided in an embodiment of the present application, the UAV-type stealth target dynamic simulation jamming device 1100 includes: an acquisition module 1101, used to obtain target parameters corresponding to the stealth target; a first determination module 1102, used to determine simulation parameters corresponding to the simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the transmitted signal of the simulated target; a simulation module 1103, used to configure the simulation parameters on the simulated target to simulate the stealth target.

[0130] In the above scheme, from the perspective of the influence of stealth targets on radar detection, the simulation of stealth targets using simulated targets should consider parameters such as trajectory, distance, speed, and intensity. Therefore, the UAV-type stealth target dynamic simulation jamming device provided in the embodiment of the present application can effectively simulate the dynamic characteristics of the stealth target by analyzing the intrinsic relationship between the target parameters corresponding to the stealth target and the simulation parameters corresponding to the simulated target, and then construct a training environment based on the stealth target obtained by the above simulation. Compared with the method of constructing a training environment in the prior art, the UAV-type stealth target dynamic simulation jamming device provided in the embodiment of the present application can improve the dynamic performance of the training environment while reducing the construction cost.

[0131] Further, based on the above embodiment, the target parameters include target trajectory parameters of the stealth target during flight, and the first determination module 1102 is specifically used to determine the simulation trajectory parameters based on the target trajectory parameters.

[0132] In the above scheme, when using a simulated target to simulate a stealth target, the flight trajectory of the simulated target should be considered. Therefore, the simulated trajectory parameters corresponding to the simulated target can be determined based on the target trajectory parameters corresponding to the stealth target, thereby making the simulated trajectory parameters more accurate.

[0133] Further, based on the above embodiment, the target parameters include the target trajectory parameters and target signal transmission parameters of the stealth target during flight, and the first determination module 1102 is specifically used to: determine the simulation trajectory parameters based on the target trajectory parameters; determine the delay time corresponding to the transmission signal of the simulated target based on the target trajectory parameters and the simulation trajectory parameters; determine the simulation distance parameters according to the target signal transmission parameters and the delay time.

[0134] In this approach, by delaying the simulated target's transmitted signal, the distance between the stealth target and the radar can be accurately simulated. Therefore, the delay time corresponding to the simulated target's transmitted signal can be adjusted in real time based on the stealth target's trajectory parameters to ensure that the simulated target's transmitted signal matches the stealth target's actual distance.

[0135] Furthermore, based on the above embodiment, the target parameters include target trajectory parameters and motion parameters of the stealth target during flight, and the first determination module 1102 is specifically used to: determine the Doppler frequency corresponding to the transmitted signal of the simulated target based on the target trajectory parameters, the motion parameters and the output frequency of the simulated target; and determine the simulated speed parameters according to the Doppler frequency.

[0136] In the above scheme, varying relative speeds cause the frequency of the echo signal received by the radar to change, triggering the Doppler effect. This can be exploited to effectively simulate varying speeds. Therefore, during simulation, the Doppler frequency can be accurately calculated based on the stealth target's trajectory parameters, motion parameters, and other parameters, ensuring that the simulated echo signal truly reflects the stealth target's motion characteristics.

[0137] Further, based on the above embodiment, the target parameters include target trajectory parameters of the stealth target during flight and radar cross-sectional area parameters corresponding to the stealth target. The first determination module 1102 is specifically used to: determine the azimuth and pitch angle corresponding to the simulated target according to the target trajectory parameters; determine the radar cross-sectional area parameters according to the azimuth and the pitch angle; determine the simulated transmission power corresponding to the transmission signal of the simulated target based on the radar cross-sectional area parameters and the simulated transmission parameters corresponding to the simulated target; and determine the simulated intensity parameter according to the simulated transmission power.

[0138] In the above scheme, the simulated signal strength is closely related to the simulated transmit power corresponding to the simulated target's transmitted signal. Because the simulated transmit power corresponding to the simulated target's transmitted signal is affected by both its own parameters and the target's parameters, the transmit signal power can be accurately calculated based on the simulated and target parameters, ensuring that the simulated echo signal accurately reflects the target's motion characteristics.

[0139] Furthermore, based on the above embodiments, the UAV-type stealth target dynamic simulation interference device 1100 also includes: a construction module for constructing a relationship matrix between the simulation parameters and the target parameters; a second determination module for determining a matching model between the target parameters and the simulation parameters based on the relationship matrix, wherein the matching model is used to determine the simulation parameters according to the target parameters.

[0140] In the above scheme, by constructing a relationship matrix between the simulation parameters corresponding to the simulated target and the target parameters corresponding to the stealth target, the mathematical models of the forwarding delay, Doppler frequency and power of the simulated target that match the stealth target trajectory are derived.

[0141] Furthermore, based on the above embodiment, the relationship matrix is:

[0142]

[0143] Among them, [x′,y′,z′,v′,Δt,f d ,P j ] T are the simulation parameters, (x′, y′, z v ) represents the position of the simulated target, v′ represents the speed of the simulated target, Δt represents the delay time corresponding to the emission signal of the simulated target, f d represents the Doppler frequency corresponding to the transmitted signal of the simulated target, P j represents the simulated transmission power corresponding to the transmission signal of the simulated target, (x, y, z) represents the position of the stealth target, v represents the speed of the stealth target, σ represents the radar cross-section corresponding to the stealth target, R t represents the distance between the stealth target and the radar, k is the proportional coefficient, f0 is the output frequency of the simulated target, α is the track angle of the simulated target, t 总 is the total flight time of the simulated target, K j is the suppression coefficient, P t are the radar’s transmitting power, G t is the radar antenna gain, G j is the antenna gain of the simulated target, γ j is the polarization coefficient of the simulated target's transmitted signal to the radar antenna, [x,y,z,v,σ,R t ] T is the target parameter.

[0144] Please refer to Figure 12 , Figure 12This is a block diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 1200 includes: at least one processor 1201, at least one communication interface 1202, at least one memory 1203, and at least one communication bus 1204. Among them, the communication bus 1204 is used to realize direct connection and communication between these components, the communication interface 1202 is used to communicate signaling or data with other node devices, and the memory 1203 stores machine-readable instructions executable by the processor 1201. When the electronic device 1200 is running, the processor 1201 communicates with the memory 1203 via the communication bus 1204, and when the machine-readable instructions are called by the processor 1201, the above-mentioned drone-type stealth target dynamic simulation interference method is executed.

[0145] For example, the processor 1201 of an embodiment of the present application reads a computer program from the memory 1203 through the communication bus 1204 and executes the computer program to implement the following method: obtaining target parameters corresponding to a stealth target; determining simulation parameters corresponding to a simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the transmitted signal of the simulated target; configuring the simulation parameters on the simulated target to simulate the stealth target.

[0146] Among them, the processor 1201 includes one or more, which can be an integrated circuit chip with signal processing capabilities. The above-mentioned processor 1201 can be a general-purpose processor, including a central processing unit (CPU), a micro control unit (MCU), a network processor (NP) or other conventional processors; it can also be a special-purpose processor, including a neural network processor (NPU), a graphics processing unit (GPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. Moreover, when there are multiple processors 1201, some of them can be general-purpose processors and the other part can be special-purpose processors.

[0147] The memory 1203 includes one or more, which may be, but is not limited to, random access memory (RAM), read only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0148] I understand. Figure 12 The structure shown is for illustration only. The electronic device 1200 may further include Figure 12 More or fewer components than shown, or with Figure 12 Different configurations shown. Figure 12 Each component shown in the figure can be implemented using hardware, software, or a combination thereof. In the embodiments of the present application, the electronic device 1200 can be, but is not limited to, a physical device such as a desktop computer, a laptop computer, a smartphone, a smart wearable device, an in-vehicle device, and can also be a virtual device such as a virtual machine. In addition, the electronic device 1200 does not necessarily have to be a single device, but can also be a combination of multiple devices, such as a server cluster, etc.

[0149] The present application also provides a computer program product, including a computer program stored on a computer-readable storage medium. The computer program includes computer program instructions. When the computer program instructions are executed by a computer, the computer can perform the steps of the method for dynamic simulation jamming of a drone-type stealth target in the above-mentioned embodiment, for example, including: Step S101: Obtaining target parameters corresponding to the stealth target. Step S102: Determining simulation parameters corresponding to the simulated target based on the target parameters, wherein the simulation parameters include simulated trajectory parameters and simulated speed parameters of the simulated target during flight, simulated distance parameters between the simulated target and the radar, and simulated intensity parameters corresponding to the simulated target's transmitted signal. Step S103: Configuring the simulation parameters on the simulated target to simulate the stealth target.

[0150] An embodiment of the present application also provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are executed by a computer, the computer executes the UAV-type stealth target dynamic simulation interference method described in the aforementioned method embodiment.

[0151] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0152] In addition, the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0153] Furthermore, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0154] It should be noted that if the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0155] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0156] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for dynamic simulation jamming of drone-type stealth targets, characterized in that: include: Get the target parameters corresponding to the stealth target; Determining simulation parameters corresponding to the simulated target according to the target parameters, wherein the simulation parameters include a simulated trajectory parameter and a simulated speed parameter of the simulated target during flight, a simulated distance parameter between the simulated target and the radar, and a simulated intensity parameter corresponding to the transmitted signal of the simulated target; The simulation parameters are configured on the simulation target to simulate the stealth target.

2. The method for dynamic simulation jamming of a drone-type stealth target according to claim 1 is characterized in that: The target parameters include target trajectory parameters of the stealth target during flight, and determining simulation parameters corresponding to the simulated target according to the target parameters includes: The simulation trajectory parameters are determined based on the target trajectory parameters.

3. The method for dynamic simulation jamming of a drone-type stealth target according to claim 1 is characterized in that: The target parameters include target trajectory parameters and target signal transmission parameters of the stealth target during flight. Determining simulation parameters corresponding to the simulated target based on the target parameters includes: determining the simulation trajectory parameters based on the target trajectory parameters; Determining a delay time corresponding to a transmission signal of the simulated target based on the target trajectory parameters and the simulated trajectory parameters; The simulated distance parameter is determined according to the target signal transmission parameter and the delay time.

4. The method for dynamic simulation jamming of a drone-type stealth target according to claim 1, characterized in that: The target parameters include target trajectory parameters and motion parameters of the stealth target during flight, and determining simulation parameters corresponding to the simulated target according to the target parameters includes: Determining a Doppler frequency corresponding to a transmission signal of the simulated target based on the target trajectory parameter, the motion parameter, and the output frequency of the simulated target; The simulated velocity parameter is determined based on the Doppler frequency.

5. The method for dynamic simulation jamming of a drone-type stealth target according to claim 1, characterized in that: The target parameters include target trajectory parameters of the stealth target during flight and radar cross-sectional area parameters corresponding to the stealth target. Determining simulation parameters corresponding to the simulated target based on the target parameters includes: Determine the azimuth and pitch angle corresponding to the simulated target according to the target trajectory parameters; Determine the radar cross-section parameter according to the azimuth angle and the elevation angle; Determining a simulated transmit power corresponding to a transmit signal of the simulated target based on the radar cross-sectional area parameter and a simulated transmit parameter corresponding to the simulated target; A simulated intensity parameter is determined according to the simulated transmit power.

6. The method for dynamic simulation jamming of a drone-type stealth target according to any one of claims 1 to 5, characterized in that: The UAV-type stealth target dynamic simulation interference method also includes: Constructing a relationship matrix between the simulation parameters and the target parameters; A matching model between the target parameter and the simulation parameter is determined based on the relationship matrix, wherein the matching model is used to determine the simulation parameter according to the target parameter.

7. The method for dynamic simulation jamming of a drone-type stealth target according to claim 6 is characterized in that: The relationship matrix is: Among them, [x ′ ,y ′ ,z ′ ,v ′ ,Δt,f d ,P j ] T is the simulation parameter, (x ′ ,y ′ ,z ′ ) represents the position of the simulated target, v ′ represents the speed of the simulated target, Δt represents the delay time corresponding to the emission signal of the simulated target, and f d represents the Doppler frequency corresponding to the transmitted signal of the simulated target, P j represents the simulated transmission power corresponding to the transmission signal of the simulated target, (x, y, z) represents the position of the stealth target, v represents the speed of the stealth target, σ represents the radar cross-section corresponding to the stealth target, R t represents the distance between the stealth target and the radar, k is the proportional coefficient, f0 is the output frequency of the simulated target, α is the track angle of the simulated target, t 总 is the total flight time of the simulated target, K j is the suppression coefficient, P t are the radar’s transmitting power, G t is the radar antenna gain, G j is the antenna gain of the simulated target, γ j is the polarization coefficient of the simulated target's transmitted signal to the radar antenna, [x,y,z,v,σ,R t ] T is the target parameter.

8. A computer program product, characterized in that The method comprises computer program instructions, which, when read and executed by a processor, executes the method for dynamic simulation interference of a UAV-type stealth target as described in any one of claims 1 to 7.

9. An electronic device, characterized in that: include: processor, memory, and bus; The processor and the memory communicate with each other via the bus; The memory stores computer program instructions that can be executed by the processor, and the processor calls the computer program instructions to execute the UAV-type stealth target dynamic simulation interference method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, which, when executed by a computer, enable the computer to execute the method for dynamic simulation interference of a UAV-type stealth target according to any one of claims 1 to 7.

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