Rayleigh distribution-based chaff simulation and release quantity optimal calculation method and system, equipment and medium

Abstract

The invention relates to the technical field of aviation simulation, in particular to a chaff simulation and release number optimal calculation method and system based on Rayleigh distribution.The method mainly comprises the steps that the maximum target superposition total RCS value in all chaff jamming bombs is selected and compared with a flyer RCS value; and if the target superposition total RCS value is less than or equal to the RCS value of the flyer, outputting a result of ineffective interference, sending a signal of re-launching the chaff jamming bomb, and stopping sending until the target superposition total RCS value is greater than the RCS value of the flyer. And the projection weight parameter of each face in the observation direction is updated in real time in combination with the aircraft attitude change. Through deep binding of the parameter values and actual combat dynamic conditions, chaff cloud RCS calculation, aircraft target scattering characteristic simulation and other processes are more fit with a real electromagnetic propagation rule and battlefield environment changes, the deviation between a simulation result and an actual scene is effectively reduced, and then the accuracy and reliability of chaff interference effectiveness evaluation are improved.

Description

Technical Field

[0001] This invention relates to the field of aerospace simulation technology, and more specifically, to a method, system, device, and medium for chaff simulation and optimal calculation of release quantity based on Rayleigh distribution. Background Technology

[0002] In existing technologies, the calculation of the RCS of chaff clouds often employs simplified models, typically estimating the overall scattering cross-section of the chaff cloud by directly multiplying the number of chaff released by the standard RCS value of a single chaff. This type of method is based on the assumption that "there is no electromagnetic coupling between the chaff strips and the overall scattering characteristics are linearly superimposed." It uses the standard RCS value provided by the chaff product as the core calculation basis, and then determines the required number of chaff strips to be released by comparing it with the RCS of the protected target.

[0003] However, the current calculation accuracy of existing technology is seriously insufficient: existing technology ignores the distance attenuation characteristics of radar electromagnetic wave propagation, while in the actual battlefield, after the chaff cloud is released, it will spread in space to form a distribution area with depth scale. The distance between the chaff and the radar varies at different locations, and its actual RCS value will be significantly attenuated with the distance. Directly multiplying the number by the standard RCS value of a single chaff does not take into account the effect of the attenuation of the scattered signal caused by the distance, resulting in a large deviation between the actual RCS calculation result of the chaff cloud and the true value. The time-dependent decay of the chaff is not taken into account: Existing technology only statically calculates the theoretical RCS value at the moment of chaff release, without considering the time-dependent decay of the chaff in the air. Ignoring this dynamic decay will make the calculated "optimal release quantity" only applicable to a very short time window, and cannot guarantee continuous interference throughout the entire interference period. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, device, and medium for foil simulation and optimal calculation of release quantity based on Rayleigh distribution, with a dynamic and precise adaptation concept. By introducing a distance attenuation mechanism and incorporating multi-dimensional practical factors, it solves the problems existing in the prior art.

[0005] This invention is achieved through the following technical solution: In a first aspect, the present invention provides a method for foil simulation and optimal calculation of release quantity based on Rayleigh distribution, including: Send the control signal to launch chaff and flares, obtain the preset RCS values ​​of the six sides of the object and the current observation direction, establish an observation direction RCS calculation model, and output the RCS value of the object in the current observation direction based on the current RCS values ​​of the six sides of the object and the current observation direction through the observation direction RCS calculation model. The single RCS value of each launched chaff jamming projectile is calculated, the decay RCS value of any chaff jamming projectile is calculated based on the chaff jamming projectile superposition model, and the superposition total RCS value of any chaff jamming projectile is obtained based on the decay RCS value and the single RCS value; The maximum target superposition total RCS value among all chaff jamming projectiles is selected and compared with the flying object RCS value; If the target superposition total RCS value is less than or equal to the flying object RCS value, the result of invalid jamming is output, the signal of launching chaff jamming projectiles is sent again until the target superposition total RCS value is greater than the flying object RCS value, and if the target superposition total RCS value is greater than the flying object RCS value, the result of valid jamming is output; The number of launched chaff jamming projectiles when the current target superposition total RCS value is greater than the flying object RCS value is output, and the current number of chaff jamming projectiles is the minimum release quantity.

[0006] Preferably, the observation direction RCS calculation model comprises:

[0007] In the formula, is the flying object RCS value, , , , , , are the calculation weights of the front, rear, right, left, upper and lower surfaces of the flying object respectively, , , , , , are the preset RCS values of the front, rear, right, left, upper and lower surfaces of the flying object respectively.

[0008] Preferably, it further comprises:

[0009]

[0010]

[0011]

[0012]

[0013]

[0014] wherein, is the cosine value of the radar observation direction pitch angle, is a first angle calculation value, is a second angle calculation value, is a third angle calculation value.

[0015] Preferably, it further comprises:

[0016]

[0017]

[0018] wherein, is a radar observation reverse azimuth angle, is a radar observation direction elevation angle.

[0019] Preferably, the calculation of the single RCS value of each launched chaff decoy missile comprises:

[0020] wherein, is a single RCS value, is a constant, is a Rayleigh distribution parameter, is a current survival time of the chaff when the striker flies to the location of the chaff.

[0021] Preferably, the chaff decoy missile superposition model comprises:

[0022] wherein, is a RCS value of any one chaff decoy missile after distance attenuation, is a RCS value of any one chaff decoy missile, is a distance.

[0023] Preferably, the calculation of the superposition total RCS value of any one chaff decoy missile based on the attenuation RCS value and the single RCS value comprises:

[0024] wherein, is a superposition total RCS value, is a number of the rest of the chaff decoy missiles within a preset range around the chaff decoy missile, is a RCS value of the i th chaff decoy missile after distance attenuation.

[0025] In a second aspect, the present application further provides a system for chaff simulation and optimal calculation of release quantity based on Rayleigh distribution, which is used for executing the method for chaff simulation and optimal calculation of release quantity based on Rayleigh distribution as described above, and comprises:​​ The data processing module is configured to send a control signal of the emitting chaff jamming projectile, acquire a preset RCS value of six surfaces of the flying object and a current observation direction, establish an observation direction RCS calculation model, output the RCS value of the flying object in the current observation direction based on the RCS value of the six surfaces of the flying object and the current observation direction through the observation direction RCS calculation model, calculate the single RCS value of each of the emitted chaff jamming projectiles, calculate the decay RCS value of any one of the chaff jamming projectiles based on a chaff jamming projectile superposition model, and obtain the superposition total RCS value of any one of the chaff jamming projectiles based on the decay RCS value and the single RCS value. The output module is configured to compare the maximum target superposition total RCS value in all the chaff jamming projectiles with the RCS value of the flying object, output a result of invalid jamming if the target superposition total RCS value is less than or equal to the RCS value of the flying object, send a signal of emitting the chaff jamming projectile again until the target superposition total RCS value is greater than the RCS value of the flying object, output a result of valid jamming if the target superposition total RCS value is greater than the RCS value of the flying object, and output the number of the emitted chaff jamming projectiles when the target superposition total RCS value is greater than the RCS value of the flying object, so that the current number of the chaff jamming projectiles is the minimum release quantity.

[0026] In a third aspect, the present application further provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for chaff simulation and optimal release quantity calculation based on Rayleigh distribution as described above when executing the computer program.

[0027] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the method for chaff simulation and optimal release quantity calculation based on Rayleigh distribution as described above.

[0028] The technical solution of the present application has at least the following advantages and beneficial effects: The method provided by the application mainly comprises comparing the maximum target superposition total RCS value in all chaff jamming shells with the flying object RCS value; if the target superposition total RCS value is less than or equal to the flying object RCS value, the result of invalid jamming is output, and the signal of re-launching the chaff jamming shell is sent until the target superposition total RCS value is greater than the flying object RCS value. The key parameters (distance attenuation coefficient, initial value of each surface RCS of the aircraft, etc.) used in the above method are not fixed constants, but can be adjusted in real time according to dynamic scene conditions, the chaff RCS frequency response parameters are dynamically corrected according to different radar frequency characteristics, the distance attenuation formula coefficient is dynamically optimized according to the battlefield environment (such as atmospheric attenuation and terrain shielding), and the projection weight parameters of each surface to the observation direction are updated in real time combined with the attitude change of the aircraft. Through the deep binding of the parameter value and the actual dynamic condition, the chaff cloud RCS calculation, the aircraft target scattering characteristic simulation and other processes are more in line with the real electromagnetic propagation law and the battlefield environment change, the deviation between the simulation result and the actual scene is effectively reduced, and then the accuracy and reliability of the chaff jamming effectiveness evaluation are improved. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0030] Figure 1 The flowchart of the present application. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0032] The terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. The naming or numbering of the steps appearing in the present application does not mean that the steps in the method process must be performed in the time / logical order indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effect can be achieved.

[0033] In addition, the connection, coupling or communication in the present application can be a direct connection, coupling or communication between associated objects, or an indirect connection, coupling or communication through other devices, and in addition, the connection, coupling or communication between objects can be electrical or other similar forms, which are not limited in the present application. The independently described modules or sub-modules can be physically separated or not physically separated: can be software implemented or hardware implemented, and part of the modules or sub-modules can be implemented by software, and the functions of the part of the modules or sub-modules are called by the processor, and the other part of the modules or sub-modules are implemented by hardware, for example, by hardware circuit. In addition, part or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the present application.

[0034] Please refer to Figure 1 The present application provides a foil strip simulation and optimal calculation method of release quantity based on Rayleigh distribution, comprising: S101: sending a control signal of launching a chaff jamming bomb, obtaining a preset RCS value of six surfaces of a flying object and a current observation direction, establishing an observation direction RCS calculation model, and outputting the RCS value of the flying object in the current observation direction based on the RCS value of the six surfaces of the flying object and the current observation direction through the observation direction RCS calculation model; In actual use, based on a high-resolution simulation countermeasure training platform, a scenario is set, and one flying object is created by the red and blue sides respectively. The red flying object is mounted with a radar guided weapon, and the blue flying object is equipped with a chaff jamming bomb. The initial situation of the red and blue sides is head-on.

[0035] After the simulation countermeasure training is started, the red flying object launches a radar guided weapon after discovering the blue flying object, and the blue flying object releases a number X of chaff jamming bombs after generating an alarm, and X is initially 1 and increases by 1 every cycle.

[0036] Real-time acquisition of position information and flight data of the red and blue flying objects and the chaff jamming bomb; real-time calculation of the RCS value of the blue flying object.

[0037] The control signal of launching a chaff jamming bomb initially sent is 1 chaff jamming bomb, and 1 is added every cycle. After the RCS values of the six surfaces of the aircraft are defined, the RCS value at any observation angle can be calculated by vector projection and weighted fusion. The core idea is to decompose the observation direction vector into the normal vector direction of the six surfaces, and distribute the contribution of each surface RCS according to the projection weight.

[0038] Specifically, the observation direction RCS calculation model comprises:

[0039] In the formula, RCS is the RCS value of the flying object, , , , , , are respectively the calculated weight of the front, rear, right, left, top and bottom of the flying object, , , , , , are respectively the preset RCS values of the front, rear, right, left, top and bottom of the flying object.

[0040] Further comprising:

[0041]

[0042]

[0043]

[0044]

[0045]

[0046] wherein, is the cosine value of the radar observation direction's elevation angle, is the first angle calculation value, is the second angle calculation value, is the third angle calculation value.

[0047] Further comprising:

[0048]

[0049]

[0050] wherein, is the radar observation direction's azimuth angle, is the radar observation direction's elevation angle S102: Calculate the single-RCS value of each launched chaff jamming projectile, calculate the decay RCS value of any chaff jamming projectile based on the chaff jamming projectile superposition model, and obtain the superposition total RCS value of any chaff jamming projectile based on the decay RCS value and the single-RCS value; Calculating the single-RCS value of each launched chaff jamming projectile comprises:

[0051] wherein, RCS is the RCS value of single chaff, C is a constant, reflecting the maximum radar cross section of single chaff jamming bomb released by different models, usually 5, R is the Rayleigh distribution parameter, reflecting the effective duration of chaff cloud, usually 5.83, T is the current survival time of chaff when the attacking object flies to the location of chaff.

[0052] The chaff jamming bomb superposition model includes:

[0053] In the formula, RCS is the RCS value of single chaff, RCS is the RCS value of single chaff, RCS is the RCS value of single chaff, R is the Rayleigh distribution parameter, reflecting the effective duration of chaff cloud, usually 5.83,

[0054] Based on the decayed RCS value and the single RCS value, the superposition total RCS value of any chaff jamming bomb includes:

[0055] In the formula, RCS is the RCS value of single chaff, N is the number of remaining chaff jamming bombs within the preset range around the chaff jamming bomb, RCS is the RCS value of single chaff, RCS is the RCS value of single chaff, S103: Select the maximum target superposition total RCS value from all chaff jamming bombs and compare it with the RCS value of the flying object; S104: If the target superposition total RCS value is less than or equal to the RCS value of the flying object, output the result of invalid jamming, send the signal of re-launching chaff jamming bomb until the target superposition total RCS value is greater than the RCS value of the flying object, if the target superposition total RCS value is greater than the RCS value of the flying object, output the result of valid jamming; S105: Output the number of launched chaff jamming bombs when the current target superposition total RCS value is greater than the RCS value of the flying object, then the current number of chaff jamming bombs is the minimum release quantity.

[0056] The method provided by the present application has significantly improved calculation accuracy: the prior art uses linear simplified calculation of ''quantity x single-foil standard RCS'', ignores distance attenuation, and results in a large RCS estimation deviation; the present application accurately calculates the actual spatial position RCS value of each foil through a distance attenuation formula, combines vector projection and weighted fusion of the RCS of each face of the aircraft, completely restores the distance attenuation characteristics of electromagnetic propagation and the angle-dependent characteristics of target scattering, makes the comparison result of the foil cloud RCS and the aircraft RCS more in line with the real electromagnetic physical law, and greatly reduces the calculation error, from ''rough estimation'' to ''accurate quantification''; The real combat scene adaptability is stronger: the prior art uses fixed parameters for calculation, and cannot adapt to dynamic changes such as battlefield environment and aircraft attitude; the present application supports real-time adjustment of key parameters (distance attenuation coefficient, foil RCS reference value, aircraft RCS value, etc.) according to real combat conditions, can flexibly cope with interference requirements under different radar detection characteristics, distance attenuation conditions and aircraft maneuvering attitudes, breaks the ''one-size-fits-all'' application limitation of the prior art, and adapts to complex and variable battlefield electromagnetic environments; The interference effectiveness guarantee is more reliable: the prior art is prone to ''insufficient release amount leading to interference failure'' or ''excessive release causing resource waste'' due to calculation deviation; the present application can determine the optimal release amount of foils that ''just meet the interference requirements'' through accurate RCS calculation of real combat scenes, avoids redundant consumption of foil resources, ensures that the scattering cross-sectional area of the foil cloud is sufficient to cover or counterbalance the RCS of the aircraft, effectively avoids the risk of interference failure, and improves the success rate of electronic countermeasure tasks.

[0057] Secondly, according to the model of different flying objects, six different RCS reference values of the six faces are provided, as shown in Table 1: Table 1 RCS reference values of six faces of flying objects

[0058] Secondly, according to the model of different flying objects, six different RCS reference values of the six faces are provided, as shown in Table 1: The data processing module is configured to send a control signal of the launched foil jamming bomb, obtain the preset RCS values of the six faces of the flying object and the current observation direction, establish an observation direction RCS calculation model, output the RCS value of the flying object in the current observation direction based on the current RCS value of the six faces of the flying object and the current observation direction through the observation direction RCS calculation model, calculate the single-foil RCS value of each launched foil jamming bomb, calculate the attenuation RCS value of any one foil jamming bomb based on a foil jamming bomb superposition model, and obtain the superposition total RCS value of any one foil jamming bomb based on the attenuation RCS value and the single-foil RCS value; The output module is configured to compare the maximum target superimposed total RCS value in all foil strip decoy bombs with the flying object RCS value; if the target superimposed total RCS value is less than or equal to the flying object RCS value, the output is invalid interference result, and the signal of re-launching foil strip decoy bombs is sent until the target superimposed total RCS value is greater than the flying object RCS value; if the target superimposed total RCS value is greater than the flying object RCS value, the output is effective interference result; the number of launched foil strip decoy bombs when the current target superimposed total RCS value is greater than the flying object RCS value is output, and the current number of foil strip decoy bombs is the minimum release number.

[0059] In addition, each function unit in various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0060] If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. The computer software product stored in a storage medium includes a plurality of instructions for causing 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 various embodiments of the method of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0061] The above is only the preferred embodiment of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for foil strip simulation and optimal calculation of the number of releases based on Rayleigh distribution, characterized in that, The method comprises the following steps: sending a control signal for launching a chaff jamming projectile, obtaining a preset RCS value of six surfaces of a flying object and a current observation direction, establishing an observation direction RCS calculation model, and outputting an RCS value of the flying object in the current observation direction based on the current RCS value of the six surfaces of the flying object and the current observation direction through the observation direction RCS calculation model; calculating a single-RCS value of each launched chaff jamming projectile, calculating a decayed RCS value of any chaff jamming projectile based on a chaff jamming projectile superposition model, and obtaining a superposition total RCS value of any chaff jamming projectile based on the decayed RCS value and the single-RCS value; comparing the maximum target superposition total RCS value among all chaff jamming projectiles with the RCS value of the flying object; if the target superposition total RCS value is less than or equal to the RCS value of the flying object, outputting a result of invalid jamming, sending a signal for launching a chaff jamming projectile again, and stopping sending until the target superposition total RCS value is greater than the RCS value of the flying object, and if the target superposition total RCS value is greater than the RCS value of the flying object, outputting a result of valid jamming; outputting the number of launched chaff jamming projectiles when the current target superposition total RCS value is greater than the RCS value of the flying object, and the current number of chaff jamming projectiles is the minimum release quantity.

2. The method for Rayleigh distribution based foil strip emulation and optimal release quantity calculation of claim 1, wherein, The observation direction RCS calculation model comprises: wherein, RCS value of the flying object, , , , , , are the calculated weights of the front, back, right, left, top, and bottom of the flying object, respectively, , , , , , are the preset RCS values of the front, back, right, left, top, and bottom of the flying object, respectively.

3. The method for Rayleigh distribution based foil strip emulation and release quantity optimization calculation of claim 2, wherein, The method further comprises the following steps: wherein is a cosine value of a pitch angle of a radar observation direction, is a first angle calculation value, is a second angle calculation value, is a third angle calculation value.

4. The method for Rayleigh distribution based foil strip emulation and release quantity optimization calculation of claim 3, wherein, The method further comprises the following steps: wherein is the azimuth angle of the radar observation direction, is the elevation angle of the radar observation direction.

5. The method for Rayleigh distribution based foil strip emulation and release quantity optimization calculation of claim 1, wherein, The calculation of the single-RCS value of each launched chaff jamming projectile comprises: wherein, is the single RCS value, is a constant, is the Rayleigh distribution parameter, is the current survival time of the foil when the projectile flies to the location of the foil.

6. The method for Rayleigh distribution based foil strip emulation and release quantity optimization calculation of claim 1, wherein, The chaff jamming projectile superposition model comprises: wherein R is the range of any one chaff jammer RCS value after attenuation, RCS value of any one chaff jammer, R is the range.

7. The method for Rayleigh distribution based foil strip emulation and release quantity optimization calculation of claim 1, wherein, The obtaining of the superposition total RCS value of any chaff jamming projectile based on the decayed RCS value and the single-RCS value comprises: wherein, is the total RCS value, is the number of chaff jamming projectiles in the preset range around the chaff jamming projectile, is the distance passed by the i-th chaff jamming projectile the RCS value after attenuation.

8. A system for performing the method of foil simulation and optimal calculation of the number of releases based on Rayleigh distribution according to any one of claims 1 to 7, characterized in that, The method comprises the following steps: The data processing module is configured to send a control signal for launching a chaff jamming projectile, obtain a preset RCS value of six surfaces of a flying object and a current observation direction, establish an observation direction RCS calculation model, and output an RCS value of the flying object in the current observation direction based on the current RCS value of the six surfaces of the flying object and the current observation direction through the observation direction RCS calculation model; The data processing module is further configured to calculate a single-RCS value of each launched chaff jamming projectile, calculate a decayed RCS value of any chaff jamming projectile based on a chaff jamming projectile superposition model, and obtain a superposition total RCS value of any chaff jamming projectile based on the decayed RCS value and the single-RCS value. The output module is configured to compare the maximum target superposition total RCS value among all chaff jamming projectiles with the RCS value of the flying object. If the target superposition total RCS value is less than or equal to the RCS value of the flying object, the output module outputs a result of invalid jamming, the data processing module sends a signal for launching a chaff jamming projectile again, and the data processing module stops sending until the target superposition total RCS value is greater than the RCS value of the flying object, and if the target superposition total RCS value is greater than the RCS value of the flying object, the output module outputs a result of valid jamming.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The output module outputs the number of launched chaff jamming projectiles when the current target superposition total RCS value is greater than the RCS value of the flying object, and the current number of chaff jamming projectiles is the minimum release quantity. The processor implements the method of the foil simulation and optimal release quantity calculation based on Rayleigh distribution according to any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method for foil strip simulation and optimal calculation of release quantity based on Rayleigh distribution according to any one of claims 1-7.

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