Method and related device for analyzing effectiveness of airborne HPM counter-strike
By constructing an effectiveness analysis method for airborne HPM anti-nuclear strikes, the impact of the dynamic flight status of the airborne platform and electromagnetic interference on the effectiveness analysis of HPM strikes was resolved, enabling precise operational decision support and resource optimization, and improving the effectiveness and reliability of anti-nuclear operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SICHUAN 6912 COMM TECH CO LTD
- Filing Date
- 2026-02-06
- Publication Date
- 2026-05-29
AI Technical Summary
Existing HPM (High-Performance Model) methods for analyzing the effectiveness of anti-drone strikes are not adapted to the dynamic flight state and complex electromagnetic interference of airborne platforms, resulting in an inability to accurately judge the effectiveness of air-to-air and air-to-ground drone strikes and making it difficult to achieve optimal allocation of combat resources.
An effective analysis method for airborne HPM (High-Performance Detection and Detection) against non-target attacks is established. By acquiring operating parameters, establishing a strike capability model and a relative motion model, constructing an advantage function model, determining the optimal antenna beam angle and strike radiation range, and estimating the target position and angle in real time, dynamic tracking of the target and analysis of strike effectiveness are achieved.
It provides precise and quantifiable operational decision support, enhances the scientific nature and timeliness of operational decisions, reduces the risk of misjudgment, adapts to complex operational environments, improves cost-effectiveness, optimizes resource allocation, and ensures the stability and reliability of strike effects.
Smart Images
Figure CN122113394A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of HPM anti-non-attack technology, and relates to an effective analysis method and related device for airborne HPM anti-non-attack. Background Technology
[0002] With the rapid development of drone technology, its applications in military reconnaissance, surveillance, strike, and civilian aerial photography and logistics are becoming increasingly widespread. At the same time, drone threats such as illegal intrusion, malicious interference, and armed attacks are also increasing year by year, posing serious challenges to airspace security, protection of critical facilities, and operational deployment security. Especially in military confrontation scenarios, enemy drones, with their small size, high stealth capabilities, low cost, and flexible deployment, can conduct close-range reconnaissance, precision strikes, and electronic jamming, seriously threatening friendly combat platforms, positions, and personnel safety. Therefore, efficient and reliable anti-drone (hereinafter referred to as "anti-drone") technology has become a key research focus and urgent need in the security field. Currently, anti-drone technology is becoming increasingly novel and diversified, forming a pattern of multiple technical paths coexisting. These mainly include acoustic jamming technology, signal jamming technology, hacking technology, directed energy system technology, anti-drone drone interception technology, and radio control seizure technology. The characteristics and application effects of each technology differ significantly, but all have limitations to varying degrees. Among these, acoustic jamming technology is limited by propagation distance and is only applicable to short-range, low-threat scenarios; signal jamming technology is susceptible to the target's anti-jamming capabilities and may cause collateral damage to friendly electronic equipment; hacking intrusion technology has extremely high technical requirements and is applicable to a limited range of target types; anti-drone interception technology suffers from problems such as complex collaborative control, high interception costs, and vulnerability to countermeasures; and radio control seizure technology is greatly affected by transmission distance and electromagnetic environment, resulting in weak practical adaptability. High-power microwave (HPM) technology, as a new type of directed energy technology, has advantages such as fast response speed, wide strike range, strong directionality, reusability, and high cost-effectiveness. Especially when carried by airborne platforms, it can quickly approach the target area using the flexible maneuverability of aircraft to carry out precise strikes and damage to enemy drones, effectively making up for many shortcomings of traditional anti-drone technologies and becoming a key development direction in the anti-drone field. Currently, research on HPM technology mainly focuses on fundamental aspects such as the damage mechanism, damage mode, and damage model construction of HPM systems. For example, microwave irradiation damage effect experiments are conducted on targets such as electronic components and circuit boards to explore the damage laws of HPM on targets under different powers and frequencies, providing theoretical support for the design of core components for HPM anti-non-attack.
[0003] However, significant technological gaps remain in the crucial stage of transforming HPM technology into practical applications—namely, research on HPM effectiveness modeling and analysis methods for non-target attacks. Existing effectiveness analysis methods are mostly designed for conventional kinetic energy weapons such as conventional anti-aircraft close-in weapon systems, short-range artillery, and short-range missiles. The attack process of these weapons is influenced by various factors, including ballistic characteristics and environmental interference (such as wind speed, gravity, and air resistance), resulting in complex flight trajectories. This makes constructing effectiveness analysis models difficult and limits computational accuracy. The strike principle of the HPM system differs fundamentally from traditional kinetic energy weapons, possessing two core characteristics: First, the electromagnetic beam emitted by the HPM system propagates at the speed of light, with negligible propagation delay. Furthermore, the electromagnetic beam persists continuously within a certain spatial range centered on the antenna direction, eliminating the need for trajectory planning and flight time considerations required for kinetic energy weapons. Second, the HPM system's destructive effect on a target depends on the accumulated electromagnetic energy received by the target. When the electromagnetic energy reaches a preset damage threshold, interference or damage to the target can be achieved. Its strike effect is primarily related to parameters such as beam divergence angle, output power, irradiation time, and the target's equivalent radiation area. Based on these characteristics, the core logic of HPM anti-non-target effectiveness modeling differs significantly from that of traditional kinetic energy weapons. Traditional strike effectiveness analysis methods cannot be directly applied to the HPM system, necessitating the development of a dedicated modeling and analysis method adapted to its technical characteristics.
[0004] More importantly, the dynamic flight status of the airborne platform (such as attitude changes, flight speed, and altitude fluctuations) directly affects the coverage, irradiation angle, and energy distribution of the HPM beam. Simultaneously, complex electromagnetic interference in the airborne environment (such as radiation from friendly electronic equipment and atmospheric plasma interference) also affects the propagation process of the electromagnetic beam, further increasing the complexity of HPM's effectiveness assessment against drone attacks. Current HPM-related research does not consider the specific application scenarios of airborne platforms, failing to provide effective technical support for optimizing operational parameters, assessing operational effectiveness, and formulating tactical plans for airborne HPM anti-drone systems. This results in airborne HPM anti-drone systems struggling to accurately assess the effectiveness against different types of air-to-air and air-to-ground drone threats in coordinated air defense operations, hindering the optimal allocation of operational resources and restricting the full realization of their combat application effectiveness. Summary of the Invention
[0005] The purpose of this invention is to address the significant technical gaps in the existing research on the effectiveness modeling and analysis methods of airborne HPM against non-target attacks, and to provide an effectiveness analysis method and related device for airborne HPM against non-target attacks.
[0006] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, this invention discloses an effectiveness analysis method for airborne HPM (High-Performance Mitigation) against non-attack attacks, comprising: The operating parameters of the airborne HPM are obtained, an airborne HPM strike capability model is established, and the power density at the target and the cone-shaped strike area of the HPM are determined. The operating parameters include HPM transmit power, antenna gain, and target distance. Acquire the spatial situation of the airborne HPM and the target, establish a relative motion model between the two, and analyze the motion state parameters of the two; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; Based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both sides, an advantage function model for both sides is established; each advantage function model is associated with the HPM antenna beam angle to form a comprehensive advantage function, and the optimal antenna beam angle and the corresponding optimal strike radiation range are determined. A maneuvering target model is established based on the motion state parameters of both parties to quantify the dynamic motion law parameters of the target; a target tracking model is established based on the motion state parameters of both parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. Based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range, the effectiveness analysis of airborne HPM against non-strike targets is completed.
[0007] Further improvements are made in the following aspects: The establishment of the airborne HPM strike capability model, and the determination of the power density at the target and the cone-shaped strike area of the HPM, include: When the HPM power and transmitting antenna gain are constant, the beam power density reaching the target is inversely proportional to the square of the target distance R and directly proportional to its transmitting power. Ignoring spatial losses in microwave transmission, the power density of the HPM at the target is as follows:
[0008]
[0009] in, This represents the power density at the target location, expressed in W / cm². 2 ; This indicates the HPM transmit power, measured in watts (W). This indicates the antenna gain, expressed in dB. Denotes a constant, take ; This indicates the E-plane beamwidth, in degrees (°). This indicates the H-plane beamwidth, in degrees. This indicates the distance from HPM to the target, in meters (m). Based on the characteristics of the HPM system, its effective area is defined as a cone, and the distance from the apex of the cone to the center of the bottom circle is the maximum effective target engagement distance. Assuming the antenna's horizontal beamwidth is 3dB... The vertical plane 3dB beamwidth is At this point, the elliptical illumination range is used as the criterion for HPM strike capability, along with the antenna beam angle. , Make connections.
[0010] The establishment of the relative motion model between the two parties and the analysis of their motion state parameters include: Define the relative motion state of the target as, with our side as the reference point. ; Define the target as the reference object, and our relative motion state is also calculated by the following formula, expressed in vector form as follows:
[0011]
[0012]
[0013]
[0014]
[0015] in, This represents our velocity vector; R represents the target velocity vector; R represents the distance from our side to the target. The angle between our direction and the target line is defined as our angle of attack. The angle between the target's direction and the target line is defined as the target's escape angle. This represents the angle between the velocities of both sides, and is our velocity vector. With the target velocity vector The angle between them; This represents the rate of change of the relative distance R between the two sides.
[0016] The advantage function model includes angle advantage function, distance advantage function, velocity advantage function, altitude advantage function, and attack advantage function; The comprehensive advantage function is:
[0017] in, Represents the angular dominance function; Represents the speed advantage function; This represents a high degree of dominance function; Indicates the attack advantage function; Indicates an advantage in attack rewards; according to: Given the gain, then , It is a constant value, when given When the value is given, any value among them is calculated accordingly, and further results can be obtained. , The maximum strike range; the vertical beam is represented as follows:
[0018] With antenna beam angle , The projection on the horizontal plane is used as an effective strike criterion, and the strike advantage value of the antenna beam angle is calculated by a comprehensive advantage function.
[0019] The angle advantage function is specifically as follows: The smaller the relative azimuth angle, the greater our attack advantage. Based on the influence of angle, the corresponding angle advantage function is constructed as follows, assuming the angle advantage function is... :
[0020] The distance advantage function is specifically as follows: Assuming the target's no-escape zone is , This represents the distance of the no-escape zone from the lower bound. Represents the upper limit, only when the distance between the two sides is... Only when the time is right can the attack possibly hit the target. Let the range advantage function be... :
[0021] The speed advantage function is specifically as follows: Define our optimal attack speed When the target is within our inescapable attack zone, the optimal attack speed is... Take enemy aircraft speed When the target is outside the no-escape zone, acceleration or deceleration should be used to bring the target into the no-escape zone as quickly as possible. Values:
[0022] Speed and distance are coupled; considering the impact of speed on air combat, let's define a speed advantage function. :
[0023] The height advantage function is specifically as follows: Let the altitude difference between the enemy's and our own drones be:
[0024] To maintain our altitude advantage during HPM strikes, we must increase... Due to the limitation of the pitch angle, the optimal height difference is set to a range. ,when When the altitude is within this interval, the altitude dominance function reaches its maximum value of 1; therefore, let the altitude dominance function... :
[0025] The attack advantage function is specifically as follows: Define the attack advantage function. :
[0026] in, This refers to the size of the HPM's strike range. , This is our attack angle. This is the maximum attack angle of HPM; Set an attack reward advantage :
[0027] The conditions to be met are: .
[0028] The establishment of a maneuvering target model based on the motion state parameters of both parties includes: The target states are: position and velocity in the x-direction; position and velocity in the y-direction.
[0029] The state-space expression of the target model:
[0030] .
[0031] Based on the motion state parameters of both parties and the dynamic motion law parameters of the target, the target tracking model is established as follows: In the two-dimensional case, the tracking model consists of distance and angle:
[0032]
[0033] in:
[0034]
[0035] [ [This indicates the location of our drone; the target measurement is...] The variance of the tracking measurement is: .
[0036] Secondly, this invention discloses an airborne HPM (High-Performance Mitigation System) effectiveness analysis system for countering non-attack attacks, comprising: The strike capability model establishment unit is used to acquire the operating parameters of the airborne HPM, establish the strike capability model of the airborne HPM, and determine the power density at the target and the cone-shaped strike area of the HPM; the operating parameters include the HPM transmit power, antenna gain and target distance; The relative motion model establishment unit is used to acquire the spatial situation of the airborne HPM and the target, establish the relative motion model of both parties, and analyze the motion state parameters of both parties; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; The comprehensive advantage function establishment unit is used to establish the advantage function models of both parties based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both parties; and to associate each advantage function model with the HPM antenna beam angle to form a comprehensive advantage function, thereby determining the optimal antenna beam angle and the corresponding optimal strike radiation range. The target tracking model building unit is used to build a maneuvering target model based on the motion state parameters of the two parties, quantify the dynamic motion law parameters of the target; and build a target tracking model based on the motion state parameters of the two parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. The effectiveness analysis unit is used to perform effectiveness analysis of the airborne HPM anti-non-strike capability based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range.
[0037] Thirdly, the present invention discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned airborne HPM anti-non-attack effectiveness analysis method.
[0038] Fourthly, the present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned airborne HPM anti-attack effectiveness analysis method.
[0039] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses an effectiveness analysis method for airborne HPM (Hyper-Pulse Detection and Strike) against non-human targets. Firstly, it provides precise and quantifiable support for anti-non-human combat decision-making. By integrating airborne HPM strike capability parameters with spatial situational information of both friendly and enemy forces, the constructed advantage function model can directly quantify the superiority or inferiority of strikes against targets in different scenarios. Decision-makers do not need to rely on experience-based judgments; they can quickly formulate targeted strike strategies based solely on the analysis results output by this method, effectively improving the scientific rigor and timeliness of combat decisions and reducing the risk of misjudgment. Secondly, the technology boasts strong compatibility and practicality. At the software implementation level, it exhibits excellent user-friendliness and high portability, requiring no large-scale modification of existing airborne systems. Only core input parameters such as the performance parameters of both friendly and enemy forces and the strike capability of the friendly HPM need to be clearly defined. The strike effectiveness analysis results can be output through a one-click operation, significantly reducing the technical application threshold and subsequent maintenance costs, and facilitating rapid integration into various airborne combat platforms. Third, the model is highly scalable and can flexibly adapt to the dynamic needs of complex combat environments. When additional influencing factors such as mobility, command and control, survivability, and detection capabilities need to be considered in combat scenarios, only the corresponding capability advantage function module needs to be added to the original comprehensive advantage function model. The core process of this method can then be used to re-complete the strike effectiveness assessment without reconstructing the overall model framework, significantly improving the method's adaptability to diverse combat scenarios. Fourth, it can significantly improve the cost-effectiveness ratio of anti-invisibility operations. By accurately analyzing the strike advantages and disadvantages of different targets, it can guide combat personnel to rationally allocate HPM resources, prioritizing strikes against targets with high strike effectiveness, avoiding resource waste, and reducing energy and equipment losses caused by ineffective strikes. While improving combat effectiveness, it effectively controls combat costs and achieves optimal allocation of combat resources. Furthermore, by establishing a maneuvering target model and a target tracking model, this method can estimate the target's position and angle in real time. Based on the matching relationship between the maximum tracking error and the optimal strike radiation range, it can perform effectiveness analysis, dynamically adapt to the target's maneuvering escape characteristics, improve the accuracy of maneuvering capture during strikes, and further ensure the stability and reliability of strike effects. This provides strong technical support for the efficient implementation of airborne HPM anti-non-combat operations. Attached Figure Description
[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0041] Figure 1 This is a flowchart of an airborne HPM anti-non-attack effectiveness analysis method in an embodiment of the present invention; Figure 2This is a schematic diagram of the strike area of the airborne HPM in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the relative motion state between the airborne HPM and the target in an embodiment of the present invention. Figure 4 This is a flowchart illustrating the overall implementation of an airborne HPM effectiveness analysis method for countering non-attack scenarios in an embodiment of the present invention. Figure 5 This is a software implementation diagram of an airborne HPM anti-non-attack effectiveness analysis method in an embodiment of the present invention. Figure 6 This is a unit diagram of an airborne HPM anti-non-attack effectiveness analysis system in an embodiment of the present invention. Detailed Implementation
[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.
[0043] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.
[0044] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
[0045] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 1 This invention discloses an effectiveness analysis method for airborne HPM (High-Performance Mitigation) against non-attack attacks, comprising: S1, acquire the operating parameters of the airborne HPM, establish the airborne HPM strike capability model, and determine the power density at the target and the cone-shaped strike area of the HPM; the operating parameters include HPM transmit power, antenna gain and target distance; S2, acquire the spatial situation of the airborne HPM and the target, establish a relative motion model between the two sides, and analyze the motion state parameters of the two sides; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; S3. Based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both sides, establish the advantage function model of both sides; associate each advantage function model with the HPM antenna beam angle to form a comprehensive advantage function, and determine the optimal antenna beam angle and the corresponding optimal strike radiation range. S4. Based on the motion state parameters of both parties, establish a maneuvering target model and quantify the dynamic motion law parameters of the target; based on the motion state parameters of both parties and the dynamic motion law parameters of the target, establish a target tracking model and estimate the position and angle of the target in real time. S5. Based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range, complete the effectiveness analysis of the airborne HPM against non-strike attacks.
[0046] This invention discloses an effectiveness analysis method for airborne HPM (Hyper-Pulse Detection and Strike) against non-human targets. Firstly, it provides precise and quantifiable support for anti-non-human combat decision-making. By integrating airborne HPM strike capability parameters with spatial situational information of both friendly and enemy forces, the constructed advantage function model can directly quantify the superiority or inferiority of strikes against targets in different scenarios. Decision-makers do not need to rely on experience-based judgments; they can quickly formulate targeted strike strategies based solely on the analysis results output by this method, effectively improving the scientific rigor and timeliness of combat decisions and reducing the risk of misjudgment. Secondly, the technology boasts strong compatibility and practicality. At the software implementation level, it exhibits excellent user-friendliness and high portability, requiring no large-scale modification of existing airborne systems. Only core input parameters such as the performance parameters of both friendly and enemy forces and the strike capability of the friendly HPM need to be clearly defined. The strike effectiveness analysis results can be output through a one-click operation, significantly reducing the technical application threshold and subsequent maintenance costs, and facilitating rapid integration into various airborne combat platforms. Third, the model is highly scalable and can flexibly adapt to the dynamic needs of complex combat environments. When additional influencing factors such as mobility, command and control, survivability, and detection capabilities need to be considered in combat scenarios, only the corresponding capability advantage function module needs to be added to the original comprehensive advantage function model. The core process of this method can then be used to re-complete the strike effectiveness assessment without reconstructing the overall model framework, significantly improving the method's adaptability to diverse combat scenarios. Fourth, it can significantly improve the cost-effectiveness ratio of anti-invisibility operations. By accurately analyzing the strike advantages and disadvantages of different targets, it can guide combat personnel to rationally allocate HPM resources, prioritizing strikes against targets with high strike effectiveness, avoiding resource waste, and reducing energy and equipment losses caused by ineffective strikes. While improving combat effectiveness, it effectively controls combat costs and achieves optimal allocation of combat resources. Furthermore, by establishing a maneuvering target model and a target tracking model, this method can estimate the target's position and angle in real time. Based on the matching relationship between the maximum tracking error and the optimal strike radiation range, it can perform effectiveness analysis, dynamically adapt to the target's maneuvering escape characteristics, improve the accuracy of maneuvering capture during strikes, and further ensure the stability and reliability of strike effects. This provides strong technical support for the efficient implementation of airborne HPM anti-non-combat operations.
[0047] The present invention will be described in detail below with reference to specific embodiments: Step 1: Analysis of Airborne HPM Strike Capability As a powerful electromagnetic pulse system, HPM emits a beam that can propagate at the speed of light. Its lethality depends on the power density at the target point. When the HPM power and transmitting antenna gain are constant, the power density of the beam reaching the target is inversely proportional to the square of the target distance R and directly proportional to its transmitting power. After neglecting the spatial loss of microwave transmission, the power density of HPM at the target is shown in equations (1)-(2): (1) (2) in, This represents the power density at the target location, expressed in W / cm². 2 ; This indicates the HPM transmit power, measured in watts (W). This indicates the antenna gain, expressed in dB. Denotes a constant, take ; This indicates the E-plane beamwidth, in degrees (°). This indicates the H-plane beamwidth, in degrees. This indicates the distance from HPM to the target, in meters (m). Based on the characteristics of the HPM system, its effective area is cone-shaped, and the distance from the apex of the cone to the center of the bottom circle is the maximum effective target range. Assuming the antenna's horizontal beamwidth is 3dB... The vertical plane 3dB beamwidth is At this point, the elliptical illumination range serves as a criterion for determining our strike capability, along with the antenna beam angle. , Establish a relationship. As shown in Figure 2.
[0048] Step 2: Establishment of the combat relative motion model In combat, obtaining the relative motion states of both sides is crucial for assessing their offensive and defensive postures and for conducting maneuvering flights accordingly. In a ground coordinate system, enemy aircraft... With my machine The relative positions are shown in the figure.
[0049] Figure 3 In, where is defined This is our velocity vector; R is the target velocity vector; R is the distance from our side to the target. The angle between our direction and the target line is defined as our attack angle. The angle between the target's direction and the target line is defined as the target's escape angle. Let be the angle between the velocities of both sides, and let represent the velocity vector of our side. With the target velocity vector The angle between them It can be calculated by a formula; relative velocity is defined. Let R be the rate of change of the relative distance between the two parties. It can be calculated using the formula; combining the variables defined above, the relative motion state of the target, with our side as the reference object, is defined as follows: Similarly, with the target as the reference object, our relative motion state can also be calculated by equations (3)-(7), and expressed in vector form as follows: (3) (4) (5) (6) (7) in, This represents our velocity vector; R represents the target velocity vector; R represents the distance from our side to the target. The angle between our direction and the target line is defined as our angle of attack. The angle between the target's direction and the target line is defined as the target's escape angle. This represents the angle between the velocities of both sides, and is our velocity vector. With the target velocity vector The angle between them; This represents the rate of change of the relative distance R between the two sides.
[0050] Step 3: Establishing the Operational Advantage Model A model of the advantages of both sides is established, mainly including advantages in angle, distance, speed, altitude, and attack. Each advantage is then correlated with the antenna beam angle to establish a comprehensive advantage function, which reveals the impact of beam angle changes on the advantage.
[0051] 3.1 Angle Dominance Function The smaller the relative azimuth angle, the greater our attack advantage. Based on the influence of angle, the corresponding angle advantage function is constructed as follows, assuming the angle advantage function is... : (8) 3.2 Distance Dominance Function Assuming the target's no-escape zone is , This represents the distance of the no-escape zone from the lower bound. Represents the upper limit, only when the distance between the two sides is... Only when the time is right can the attack possibly hit the target. Let the range advantage function be... : (9) 3.3 Velocity Advantage Function In combat maneuvering, the greater our maneuverability, the faster we can enter attack range. However, if the speed is too high, it will exceed its optimal combat speed range, and the drone's maneuverability will be greatly reduced in close-range air combat.
[0052] Therefore, before defining the speed advantage function, we must first define our optimal attack speed. When the target is within our inescapable attack zone, the optimal attack speed is... Take enemy aircraft speed When the target is outside the no-escape zone, acceleration or deceleration should be used to bring the target into the no-escape zone as quickly as possible. Values: (10) There is a coupling relationship between speed and distance here.
[0053] Taking into account the impact of speed on air combat, let's define a speed advantage function. : (11) 3.4 Height Dominance Function Let the altitude difference between the enemy's and our own drones be: (12) To maintain our altitude advantage during HPM strikes, we must increase... Due to the limitation of the pitch angle, the optimal height difference is set to a range. ,when When the altitude is within this interval, the altitude dominance function reaches its maximum value of 1. Therefore, let the altitude dominance function... : 3.5 Attack Advantage Function (13) Evaluating the effectiveness of a current HPM attack requires considering two factors: the relative distance between the two sides and the advantage of our attack angle. The prerequisite is that both distance and angle constraints must be met simultaneously to generate a significant attack advantage over the enemy. This necessitates establishing a coupling relationship between attack distance and angle, and defining an attack advantage function. : (14) in, This refers to the size of the HPM's strike range. , This is our attack angle. This is the maximum attack angle of HPM.
[0054] Set an attack reward advantage : (15) The conditions to be met are: .
[0055] 3.6 Comprehensive Advantage Function (16) In this analysis, the dominant function is correlated with the beam angle to establish a functional relationship. The function is then transformed, and based on: Given the gain, then , It is a constant value, when given When the value is given, any value can be calculated accordingly, and further results can be obtained. , The maximum strike range can be obtained similarly for the vertical beam, as shown below: (17) With antenna beam angle , The projection on the horizontal plane serves as an effective strike criterion, and the strike advantage value of the antenna beam angle can be calculated using the advantage model.
[0056] Step 4: Establishing the Maneuvering Target Model The target states are: position and velocity in the x-direction; position and velocity in the y-direction. (18) The state-space expression of the target model: (19) (20) Step 5: Establishing the target tracking model In the two-dimensional case, the tracking model consists of distance and angle:
[0057] (twenty one) in: (twenty two) (twenty three) [ [This indicates the location of our drone; the target measurement is...] The variance of the tracking measurement is: (twenty four) The overall implementation process of this invention is as follows: The implementation process of the airborne HPM anti-non-strike effectiveness modeling and analysis method is shown in Figure 4.
[0058] This patent provides a method for analyzing the strike effectiveness of an airborne HPM anti-navigation system. Through this method, by pre-setting parameters such as our strike capability, our maneuverability, and the target's maneuverability, the method analyzes the system's advantages and disadvantages relative to the target. This analysis provides decision-makers with a reference for formulating more effective strike strategies and improving cost-effectiveness. The software implementation is user-friendly and highly portable. Simply inputting our performance parameters, strike capability parameters, and target performance parameters allows for one-click output of analysis results, revealing the system's strike effectiveness. Furthermore, this patented analysis method is highly scalable. If other system factors are considered, additional factors such as maneuverability, command and control capabilities, and survivability can be added as input to create a capability advantage function, extending to a comprehensive advantage function model. Using the same steps, the strike effectiveness analysis can still be re-evaluated.
[0059] Example 1 (1) Considering the analysis of multiple combat scenarios, the initial conditions of the situation of both sides under different circumstances are first set: General scenario: The two sides are initially far apart, with positional differences in all directions, and their noses are roughly facing each other (the distance between the two sides is ≥1km, and the relative angle between the two sides is ≤ the attack angle). Balanced scenario: The two sides are initially far apart, with a positional difference only in the x-axis direction, and the noses of the aircraft are strictly pointing at each other; (the horizontal distance between the two sides is ≥1km, and the relative angle between the two sides is 0°). Advantageous scenario: Our side has already locked onto the target and meets the attack conditions; (distance between the two sides ≤ 1km, relative height difference ≥ 0m, and relative angle between the two sides ≤ attack angle). Disadvantageous situation: Our side has been locked onto by the target and is about to be attacked; (horizontal distance between the two sides ≤ 1km, relative height difference ≤ 0m, and relative angle between the two sides ≤ attack angle). (2) Establish the model and determine the optimal beamwidth result The input here is a beamwidth of 20°~50° and a power density of 100 W / cm². 2 The antenna gain is 18dB. Table 1 shows the relationship between beamwidth and the gain of advantage.
[0060] Table 1
[0061] (3) Software output analysis results of strike effectiveness: The results of the strike effectiveness analysis software of this patent are shown in Figure 5. By inputting parameters such as our performance parameters, strike capability parameters, and target performance, the analysis results can be directly output with one click, showing the strike effectiveness of the system against different targets and its combat advantages in different scenarios.
[0062] The working principle of this invention is as follows: The basic principle of this invention is to first confirm the airborne HPM strike capability analysis, then assess the spatial situation (angle, speed, distance) of both sides, and establish a relative motion model for both sides. Next, it establishes the combat advantage function for both sides and correlates the antenna beam angle with the advantage function, jointly establishing a comprehensive advantage function related to the beam angle to obtain the optimal antenna beam angle, and similarly, the most advantageous strike radiation range. Finally, it verifies the optimal results obtained above by establishing a maneuvering target model and a target tracking model to estimate the target position and angle in real time. Whether the maximum error of the tracking model is within the antenna beam strike radiation range is used as a method for strike effectiveness modeling and analysis verification.
[0063] See Figure 6 This invention discloses an airborne HPM (High-Performance Detection and Detection) effectiveness analysis system, comprising: The strike capability model establishment unit is used to acquire the operating parameters of the airborne HPM, establish the strike capability model of the airborne HPM, and determine the power density at the target and the cone-shaped strike area of the HPM; the performance and operating parameters include HPM transmit power, antenna gain and target distance; The relative motion model establishment unit is used to acquire the spatial situation of the airborne HPM and the target, establish the relative motion model of both parties, and analyze the motion state parameters of both parties; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; The comprehensive advantage function establishment unit is used to establish the advantage function models of both parties based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both parties; and to associate each advantage function model with the HPM antenna beam angle to form a comprehensive advantage function, thereby determining the optimal antenna beam angle and the corresponding optimal strike radiation range. The target tracking model building unit is used to build a maneuvering target model based on the motion state parameters of the two parties, quantify the dynamic motion law parameters of the target; and build a target tracking model based on the motion state parameters of the two parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. The effectiveness analysis unit is used to perform effectiveness analysis of the airborne HPM anti-non-strike capability based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range.
[0064] A third objective of this invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the airborne HPM anti-non-attack effectiveness analysis method.
[0065] The method for analyzing the effectiveness of airborne HPM against non-attack attacks includes the following steps: The operating parameters of the airborne HPM are obtained, an airborne HPM strike capability model is established, and the power density at the target and the cone-shaped strike area of the HPM are determined; the performance and operating parameters include HPM transmit power, antenna gain and target distance; Acquire the spatial situation of the airborne HPM and the target, establish a relative motion model between the two, and analyze the motion state parameters of the two; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; Based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both sides, an advantage function model for both sides is established; each advantage function model is associated with the HPM antenna beam angle to form a comprehensive advantage function, and the optimal antenna beam angle and the corresponding optimal strike radiation range are determined. A maneuvering target model is established based on the motion state parameters of both parties to quantify the dynamic motion law parameters of the target; a target tracking model is established based on the motion state parameters of both parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. Based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range, the effectiveness analysis of airborne HPM against non-strike targets is completed.
[0066] The fourth objective of this invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the airborne HPM anti-attack effectiveness analysis method.
[0067] The method for analyzing the effectiveness of airborne HPM against non-attack attacks includes the following steps: The operating parameters of the airborne HPM are obtained, an airborne HPM strike capability model is established, and the power density at the target and the cone-shaped strike area of the HPM are determined. The operating parameters include HPM transmit power, antenna gain, and target distance. Acquire the spatial situation of the airborne HPM and the target, establish a relative motion model between the two, and analyze the motion state parameters of the two; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; Based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both sides, an advantage function model for both sides is established; each advantage function model is associated with the HPM antenna beam angle to form a comprehensive advantage function, and the optimal antenna beam angle and the corresponding optimal strike radiation range are determined. A maneuvering target model is established based on the motion state parameters of both parties to quantify the dynamic motion law parameters of the target; a target tracking model is established based on the motion state parameters of both parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. Based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range, the effectiveness analysis of airborne HPM against non-strike targets is completed.
[0068] Those skilled in the art will understand that embodiments of the present invention can provide methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0069] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0070] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0071] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0072] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. An effectiveness analysis method for airborne HPM against non-attack attacks, characterized in that, include: The operating parameters of the airborne HPM are obtained, an airborne HPM strike capability model is established, and the power density at the target and the cone-shaped strike area of the HPM are determined. The operating parameters include HPM transmit power, antenna gain, and target distance. Acquire the spatial situation of the airborne HPM and the target, establish a relative motion model between the two, and analyze the motion state parameters of the two; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; Based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both sides, an advantage function model for both sides is established; each advantage function model is associated with the HPM antenna beam angle to form a comprehensive advantage function, and the optimal antenna beam angle and the corresponding optimal strike radiation range are determined. A maneuvering target model is established based on the motion state parameters of both parties to quantify the dynamic motion law parameters of the target; a target tracking model is established based on the motion state parameters of both parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. Based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range, the effectiveness analysis of airborne HPM against non-strike targets is completed.
2. The airborne HPM anti-non-attack effectiveness analysis method according to claim 1, characterized in that, The establishment of the airborne HPM strike capability model, and the determination of the power density at the target and the cone-shaped strike area of the HPM, include: When the HPM power and transmitting antenna gain are constant, the beam power density reaching the target is inversely proportional to the square of the target distance R and directly proportional to its transmitting power. Ignoring spatial losses in microwave transmission, the power density of the HPM at the target is as follows: in, This represents the power density at the target location, expressed in W / cm². 2 ; This indicates the HPM transmit power, measured in watts (W). This indicates the antenna gain, expressed in dB. Denotes a constant, take ; This indicates the E-plane beamwidth, in degrees (°). Indicates the H-plane beamwidth, in degrees; This indicates the distance from HPM to the target, in meters (m). Based on the characteristics of the HPM system, its effective area is defined as a cone, and the distance from the apex of the cone to the center of the bottom circle is the maximum effective target engagement distance. Assuming the antenna's horizontal beamwidth is 3dB... The vertical plane 3dB beamwidth is At this point, the elliptical illumination range is used as the criterion for HPM strike capability, along with the antenna beam angle. , Make connections.
3. The airborne HPM anti-non-attack effectiveness analysis method according to claim 1, characterized in that, The establishment of the relative motion model between the two parties and the analysis of their motion state parameters include: Define the relative motion state of the target as, with our side as the reference point. ; Define the target as the reference object, and our relative motion state is also calculated by the following formula, expressed in vector form as follows: in, This represents our velocity vector; R represents the target velocity vector; R represents the distance from our side to the target. The angle between our direction and the target line is defined as our angle of attack. The angle between the target's direction and the target line is defined as the target's escape angle. This represents the angle between the velocities of both sides, and is our velocity vector. With the target velocity vector The angle between them; This represents the rate of change of the relative distance R between the two sides.
4. The airborne HPM anti-non-attack effectiveness analysis method according to claim 1, characterized in that, The advantage function model includes angle advantage function, distance advantage function, velocity advantage function, altitude advantage function, and attack advantage function; The comprehensive advantage function is: in, Represents the angular dominance function; Represents the speed advantage function; This represents a high degree of dominance function; Indicates the attack advantage function; Indicates an advantage in attack rewards; according to: Given the gain, then , It is a constant value, when given When the value is given, any value among them is calculated accordingly, and further results can be obtained. , The maximum strike range; the vertical beam is represented as follows: With antenna beam angle , The projection on the horizontal plane is used as an effective strike criterion, and the strike advantage value of the antenna beam angle is calculated by a comprehensive advantage function.
5. The airborne HPM anti-non-attack effectiveness analysis method according to claim 4, characterized in that, The angle advantage function is specifically as follows: The smaller the relative azimuth angle, the greater our attack advantage. Based on the influence of angle, the corresponding angle advantage function is constructed as follows, assuming the angle advantage function is... : The distance advantage function is specifically as follows: Assuming the target's no-escape zone is , This represents the distance of the no-escape zone from the lower bound. Represents the upper limit, only when the distance between the two sides is... Only when the time is right can the attack possibly hit the target. Let the range advantage function be... : The speed advantage function is specifically as follows: Define our optimal attack speed When the target is within our inescapable attack zone, the optimal attack speed is... Take enemy aircraft speed When the target is outside the no-escape zone, acceleration or deceleration should be used to bring the target into the no-escape zone as quickly as possible. Values: Speed and distance are coupled; considering the impact of speed on air combat, let's define a speed advantage function. : The height advantage function is specifically as follows: Let the altitude difference between the enemy's and our own drones be: To maintain our altitude advantage during HPM strikes, we must increase... Due to the limitation of the pitch angle, the optimal height difference is set to a range. ,when When the altitude is within this interval, the altitude dominance function reaches its maximum value of 1; therefore, let the altitude dominance function... : The attack advantage function is specifically as follows: Define the attack advantage function. : in, This refers to the size of the HPM's strike range. , This is our attack angle. This is the maximum attack angle of HPM; Set an attack reward advantage : The conditions must be met: .
6. The airborne HPM anti-non-attack effectiveness analysis method according to claim 1, characterized in that, The establishment of a maneuvering target model based on the motion state parameters of both parties includes: The target states are: position and velocity in the x-direction; position and velocity in the y-direction. The state-space expression of the target model: 。 7. The airborne HPM anti-non-attack effectiveness analysis method according to claim 1, characterized in that, Based on the motion state parameters of both parties and the dynamic motion law parameters of the target, the target tracking model is established as follows: In the two-dimensional case, the tracking model consists of distance and angle: in: [ [This indicates the location of our drone; the target measurement is...] The variance of the tracking measurement is: 。 8. An airborne HPM (High-Performance Monitoring) effectiveness analysis system for countering non-targeting attacks, characterized in that, include: The strike capability model establishment unit is used to acquire the operating parameters of the airborne HPM, establish the strike capability model of the airborne HPM, and determine the power density at the target and the cone-shaped strike area of the HPM; the operating parameters include the HPM transmit power, antenna gain and target distance; The relative motion model establishment unit is used to acquire the spatial situation of the airborne HPM and the target, establish the relative motion model of both parties, and analyze the motion state parameters of both parties; the motion state parameters include relative position, attack angle, escape angle, velocity angle and relative velocity; The comprehensive advantage function establishment unit is used to establish the advantage function models of both parties based on the power density at the target, the cone-shaped strike area of the HPM, and the motion state parameters of both parties; and to associate each advantage function model with the HPM antenna beam angle to form a comprehensive advantage function, thereby determining the optimal antenna beam angle and the corresponding optimal strike radiation range. The target tracking model building unit is used to build a maneuvering target model based on the motion state parameters of the two parties, quantify the dynamic motion law parameters of the target; and build a target tracking model based on the motion state parameters of the two parties and the dynamic motion law parameters of the target to estimate the position and angle of the target in real time. The effectiveness analysis unit is used to perform effectiveness analysis of the airborne HPM anti-non-strike capability based on the matching relationship between the maximum error of the target tracking model and the optimal strike radiation range.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the airborne HPM anti-non-attack effectiveness analysis method according to any one of claims 1-7.
10. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the airborne HPM anti-non-attack effectiveness analysis method according to any one of claims 1-7.