Method and system, device and medium for foil simulation and optimal calculation of release quantity based on rayleigh distribution

Abstract

The present application relates to the technical field of aviation simulation, in particular to a method and system for chaff simulation and optimal calculation of release quantity based on Rayleigh distribution, equipment and medium, the method provided by the present application mainly comprises comparing the maximum target superposition total RCS value in all chaff jamming bombs with the RCS value of a flying object; if the target superposition total RCS value is less than or equal to the RCS value of the flying object, the result of invalid jamming is output, and a signal for re-launching the chaff jamming bomb is sent until the target superposition total RCS value is greater than the RCS value of the flying object. The projection weight parameters of each surface facing the observation direction are updated in real time in combination with the attitude change of the aircraft. Through the deep binding of the parameter value and the actual dynamic conditions, 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 the accuracy and reliability of the chaff jamming effectiveness evaluation are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aviation simulation, in particular to a foil simulation and release quantity optimal calculation method and system based on Rayleigh distribution, equipment and medium. BACKGROUND

[0002] In the prior art, the calculation of foil cloud RCS usually adopts a simplified model, and the scattering cross-sectional area of the overall foil cloud is estimated by directly multiplying the standard RCS index value of a single foil by the number of foils released. This method is based on the assumption that there is no electromagnetic coupling between foils and the overall scattering characteristics are linearly superimposed, and the standard RCS index provided by the foil product is used as the core calculation basis. Then, by comparing with the RCS of the protected target, the required number of foils to be released is determined.

[0003] However, the calculation accuracy of the prior art is seriously insufficient. The prior art ignores the distance attenuation characteristics of radar electromagnetic wave propagation. In actual battlefield, after the release of the foil cloud, it will spread in space to form a distribution area with a longitudinal scale. The distance between foils at different positions and the radar is different, and the actual RCS value will be significantly attenuated with the change of distance. The direct multiplication of the number by the single standard RCS value does not consider the scattering signal attenuation effect caused by the distance, resulting in a large deviation between the actual RCS calculation result of the foil cloud and the true value.

[0004] The time-dependent attenuation factor of the foil is not taken into account. The prior art only calculates the theoretical RCS value at the moment of foil release, and does not consider the time-dependent attenuation of the foil in the air. Ignoring this dynamic attenuation will make the "optimal release quantity" calculated only applicable to a very short time window, and unable to guarantee the sustained interference during the entire interference period. SUMMARY

[0005] The purpose of the present application is to provide a foil simulation and release quantity optimal calculation method and system based on Rayleigh distribution, equipment and medium, which dynamically and accurately adapts to the concept, solves the problems existing in the prior art by introducing a distance attenuation mechanism and correlating multiple dimensions of real combat factors.

[0006] The present application is achieved by the following technical solutions:

[0007] In a first aspect, the present application provides a foil simulation and release quantity optimal calculation method based on Rayleigh distribution, comprising:

[0008] sending a control signal of a launch foil jamming projectile, obtaining a preset RCS value of six faces 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 faces of the flying object and the current observation direction through the observation direction RCS calculation model;

[0009] 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;

[0010] The maximum target superposition total RCS value among all chaff jamming projectiles is selected and compared with the flying object RCS value;

[0011] 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 projectile 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;

[0012] 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.

[0013] Preferably, the observation direction RCS calculation model comprises:

[0014]

[0015] 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.

[0016] Preferably, it further comprises:

[0017]

[0018]

[0019]

[0020]

[0021]

[0022]

[0023] wherein, is a first angle calculation value, is a second angle calculation value, is a third angle calculation value.

[0024] Preferably, further comprising:

[0025]

[0026]

[0027]

[0028] wherein, is an azimuth angle of a radar observation direction, is an elevation angle of the radar observation direction.

[0029] Preferably, the calculating of the single-RCS value of each launched chaff decoy projectile comprises:

[0030]

[0031] wherein, is a single-RCS value, is a constant, is a Rayleigh distribution parameter, is a current survival time of the chaff when the striking object flies to the location of the chaff.

[0032] Preferably, the chaff decoy projectile superposition model comprises:

[0033]

[0034] wherein, is a RCS value of any one chaff decoy projectile after attenuation of a passing distance, is a RCS value of any one chaff decoy projectile, is a distance.

[0035] Preferably, the obtaining of the superposition total RCS value of any one chaff decoy projectile based on the attenuated RCS value and the single-RCS value comprises:

[0036]

[0037] wherein, is a superposition total RCS value, is a number of the rest of the chaff decoy projectiles within a preset range around the chaff decoy projectile, is a RCS value of the i-th chaff decoy projectile after attenuation of a passing distance, is a distance. ​

[0038] In a second aspect, the present application also provides a system for foil strip simulation and optimal release quantity calculation based on Rayleigh distribution, which is used to execute the method for foil strip simulation and optimal release quantity calculation based on Rayleigh distribution as described above, and comprises:

[0039] The data processing module is configured to send a control signal for launching the foil strip jamming bomb, acquire the RCS values of the six surfaces 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 RCS values 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 launched foil strip jamming bomb, calculate the decay RCS value of any one of the foil strip jamming bombs based on a foil strip jamming bomb superposition model, and obtain the superposition total RCS value of any one of the foil strip jamming bombs based on the decay RCS value and the single-RCS value.

[0040] The output module is configured to compare the maximum target superposition total RCS value in all the foil strip jamming bombs 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 for launching the foil strip jamming bomb 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 launched foil strip jamming bombs when the current target superposition total RCS value is greater than the RCS value of the flying object, so that the current number of the foil strip jamming bombs is the minimum release quantity.

[0041] In a third aspect, the present application also 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 foil strip simulation and optimal release quantity calculation based on Rayleigh distribution as described above when executing the computer program.

[0042] In a fourth aspect, the present application also 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 foil strip simulation and optimal release quantity calculation based on Rayleigh distribution as described above.

[0043] The technical solution of the present application has at least the following advantages and beneficial effects:

[0044] 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 the like 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 efficiency evaluation are improved. BRIEF DESCRIPTION OF DRAWINGS

[0045] 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.

[0046] Figure 1 The flowchart of the present application. DETAILED DESCRIPTION

[0047] 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 combination with 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.

[0048] 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 flow must be executed in the time / logical order indicated by the naming or numbering. The flow steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effect can be achieved.

[0049] 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. 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.

[0050] Please refer to Figure 1 The present application provides a foil simulation and optimal calculation method of release quantity based on Rayleigh distribution, comprising:

[0051] S101: sending a control signal of a launch foil 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;

[0052] 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 foil jamming bomb. The initial situation of the red and blue sides is head-on.

[0053] 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 foil jamming bombs, X is initially 1, and is increased by 1 every cycle.

[0054] Real-time acquisition of position information and flight data of the red and blue flying objects and the foil jamming bomb; and real-time calculation of the RCS value of the blue flying object.

[0055] The control signal of the launch foil jamming bomb initially sent is to launch 1 foil 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.

[0056] Specifically, the observation direction RCS calculation model comprises:

[0057]

[0058] In the formula, RCS value of the flying object, , , , , , are respectively the calculation weights 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.

[0059] Further comprising:

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066] wherein, is a first angle calculation value, is a second angle calculation value, is a third angle calculation value.

[0067] Further comprising:

[0068]

[0069]

[0070]

[0071] wherein, is an azimuth angle of the radar observation direction, is an elevation angle of the radar observation direction

[0072] 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;

[0073] Calculating the single-RCS value of each launched chaff jamming projectile comprises:

[0074]

[0075] wherein, is the RCS value of a single chaff, is a constant, reflecting the maximum radar cross section of a single chaff jamming bomb released by different models, usually taking 5, is a Rayleigh distribution parameter, reflecting the effective duration of the chaff cloud, usually taking 5.83, is the current survival time of the chaff when the attacking object flies to the location of the chaff.

[0076] The chaff jamming bomb superposition model comprises:

[0077]

[0078] wherein, is the distance passed by any one chaff jamming bomb, after attenuation, is the RCS value of any one chaff jamming bomb, is the distance.

[0079] The superposition total RCS value of any one chaff jamming bomb based on the attenuated RCS value and the single RCS value comprises:

[0080]

[0081] wherein, is the superposition total RCS value, is the number of the rest of the chaff jamming bombs within a preset range around the chaff jamming bomb, is the distance passed by the i-th chaff jamming bomb, after attenuation,

[0082] S103: comparing the maximum target superposition total RCS value in all chaff jamming bombs with the RCS value of the flying object;

[0083] S104: 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 of re-launching the chaff jamming bomb, 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;

[0084] S105: outputting the number of the launched chaff jamming bombs when the current target superposition total RCS value is greater than the RCS value of the flying object, and the current number of the chaff jamming bombs is the minimum release number.

[0085] The method provided by the application has the advantages of significantly improved calculation accuracy: the prior art uses linear simplified calculation of ''quantity x single foil standard RCS'', ignores distance attenuation, and causes great deviation in RCS estimation; the application accurately calculates the actual spatial position RCS value of each foil through the distance attenuation formula, combines the vector projection and weighted fusion of the RCS of each surface 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'';

[0086] The application has stronger adaptability to actual combat scenes: the prior art uses fixed parameters for calculation, and cannot adapt to dynamic changes such as battlefield environment and aircraft attitude; the application supports real-time adjustment of key parameters (distance attenuation coefficient, foil RCS reference value, aircraft RCS value, etc.) according to actual combat conditions, can flexibly cope with interference requirements under different radar detection characteristics, distance attenuation conditions and aircraft maneuvering attitudes, breaks the application limitation of ''one size fits all'' of the prior art, and adapts to complex and changeable battlefield electromagnetic environment.

[0087] The application has more reliable interference effectiveness guarantee: the prior art is prone to ''insufficient release amount leading to interference failure'' or ''excessive release causing resource waste'' due to calculation deviation; the application accurately matches the RCS calculation of the actual combat scene, can determine the optimal release amount of foils that ''just meet the interference requirements'', avoids redundant consumption of foil resources, ensures that the scattering cross-sectional area of the foil cloud formed 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.

[0088] Secondly, according to the models of different flying objects, six different RCS reference values of the six surfaces are provided, as shown in Table 1:

[0089] Table 1: RCS reference values of six surfaces of flying objects

[0090]

[0091] Secondly, according to the models of different flying objects, six different RCS reference values of the six surfaces are provided, as shown in Table 1:

[0092] The data processing module is configured to send a control signal of the launching chaff jamming projectile, acquire preset RCS values 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 values 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 launched chaff jamming projectile, calculate the decay RCS value of any chaff jamming projectile based on a 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.

[0093] The output module is configured to compare the maximum target superposition total RCS value in all 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 launching 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 launched 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 chaff jamming projectiles is the minimum release quantity.

[0094] In addition, each functional unit in each embodiment 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 functional unit.

[0095] If the integrated unit is realized in the form of a software functional 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 method of each embodiment of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0096] 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. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for simulating foil strips and calculating the optimal release quantity based on Rayleigh distribution, characterized in that, include: Send the control signal to launch chaff and flares, obtain the preset RCS values ​​of the six faces of the object and the current observation direction, decompose the observation direction vector into the normal vector directions of the six faces, allocate the contribution of each face to the RCS according to the projection weight, establish the 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 faces of the object and the current observation direction through the observation direction RCS calculation model. Calculate the RCS value of each launched chaff / flare: in, For a single RCS value, It is a constant. Here are the parameters of the Rayleigh distribution. The current survival time of the chaff when the target reaches its location; The attenuation RCS value of any single chaff is calculated based on the chaff stacking model. The total RCS value of any single chaff is obtained based on the attenuation RCS value and the RCS value of a single chaff. The largest total RCS value among all chaff flares was selected and compared with the RCS value of the projectile. If the total RCS value of the target superimposed is less than or equal to the RCS value of the flying object, the result of jamming is output as invalid, and a signal to launch chaff countermeasures is sent again until the total RCS value of the target superimposed is greater than the RCS value of the flying object. If the total RCS value of the target superimposed is greater than the RCS value of the flying object, the result of jamming is output as valid. The output shows the number of chaff rounds to be launched when the total RCS value of the current target is greater than the RCS value of the flying object. The current number of chaff rounds is the minimum release quantity.

2. The method for foil simulation and optimal release quantity calculation based on Rayleigh distribution according to claim 1, characterized in that, The observation direction RCS calculation model includes: In the formula, RCS value of the flying object , , , , , The calculation weights are respectively for the front, back, right, left, top, and bottom of the flying object. , , , , , These are the preset RCS values ​​for the front, back, right, left, top, and bottom of the flying object, respectively.

3. The method for foil simulation and optimal release quantity calculation based on Rayleigh distribution according to claim 2, characterized in that, Also includes: in, The calculated value is for the first angle. This is the calculated value for the second angle. This is the value calculated from the third angle.

4. The method for foil simulation and optimal release quantity calculation based on Rayleigh distribution according to claim 3, characterized in that, Also includes: In the formula, This is the azimuth angle of the radar observation direction. This is the elevation angle in the radar observation direction.

5. The method for simulating foil strips and calculating the optimal release quantity based on Rayleigh distribution according to claim 1, characterized in that, The chaff decoy superposition model includes: In the formula, For any chaff flare, after traveling a distance of The RCS value after attenuation. Let RCS be any single chaff flare. For distance.

6. The method for foil simulation and optimal release quantity calculation based on Rayleigh distribution according to claim 1, characterized in that, The total RCS value of any chaff decoy based on the attenuated RCS value and the RCS value of a single chaff includes: In the formula, To sum the total RCS value, This refers to the number of other chaff / flare flares within a preset range around the given chaff / flare. The distance traveled by the i-th chaff flare The RCS value after attenuation.

7. A system for chaff simulation and optimal release quantity calculation based on Rayleigh distribution, used to execute the method for chaff simulation and optimal release quantity calculation based on Rayleigh distribution as described in any one of claims 1-6, characterized in that, include: The data processing module is configured to send control signals for launching chaff and flares, acquire 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. Calculate the RCS value of each launched chaff flare, calculate the attenuated RCS value of any current chaff flare based on the chaff flare superposition model, and obtain the total superposition RCS value of any chaff flare based on the attenuated RCS value and the individual RCS value. The output module is configured to select the largest total RCS value of the target stack among all chaff flares and compare it with the RCS value of the projectile. If the total RCS value of the target superimposed is less than or equal to the RCS value of the flying object, the result of interference invalidation is output, and a signal to launch chaff countermeasures is sent again until the total RCS value of the target superimposed is greater than the RCS value of the flying object. If the total RCS value of the target superimposed is greater than the RCS value of the flying object, the result of interference validation is output. The number of chaff countermeasures launched when the current total RCS value of the target superimposed is greater than the RCS value of the flying object is output, and the current number of chaff countermeasures is the minimum release quantity.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for foil simulation and optimal calculation of release quantity based on Rayleigh distribution as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for foil simulation and optimal calculation of release quantity based on Rayleigh distribution as described in any one of claims 1-6.

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