CN114187492A - Air combat target threat assessment method and device - Google Patents
Air combat target threat assessment method and device Download PDFInfo
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- CN114187492A CN114187492A CN202110413513.5A CN202110413513A CN114187492A CN 114187492 A CN114187492 A CN 114187492A CN 202110413513 A CN202110413513 A CN 202110413513A CN 114187492 A CN114187492 A CN 114187492A
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Abstract
The application provides an air combat target threat assessment method and device. Wherein the method comprises the following steps: acquiring state parameters representing the threat attributes of the air combat targets; calculating the membership degree of the threat level of the threat attribute according to the state parameter and through a threat estimation model; calculating the credibility of the threat attribute under different threat levels according to the calculation result and through a credibility function; correcting the reliability of the threat level of the threat attribute according to the calculation result and through a reliability correction model; calculating the reliability of the air combat target threat level according to the correction result and through a Dempster synthetic model; selecting the maximum value in the calculation result; and outputting the air combat target threat level corresponding to the maximum value. Therefore, data with conflict in the state parameters representing the air combat target threat attribute can be corrected, dynamic evaluation of the air combat target threat attribute is achieved, and accuracy of the air combat target threat evaluation is improved.
Description
Technical Field
The application relates to the technical field of target detection, in particular to an air combat target threat assessment method and device.
Background
In modern air combat, beyond-the-horizon air combat is becoming the primary form of aircraft combat. With the increasing maturity of countermeasure means such as electronic attack, the air combat target information that airborne sensor can acquire is limited accordingly. Therefore, threat assessment of air combat targets is required to enable accurate arming of airborne weapons and accurate selection of attack targets. In the prior art, threat assessment of an air combat target is mainly carried out through a Bayesian network, a fuzzy theory, a neural network and a multi-attribute decision method. In this case, all the attributes of the air combat targets need to be constructed into a complex large system inference network.
In the process of realizing the prior art, the inventor finds that:
when the target attribute is lost in the process of evaluating the air combat target threat, the threat evaluation judgment cannot be carried out. Even if the conventional statistical estimation or data equivalent substitution method is used, the threat assessment cannot be accurately carried out on the air combat targets with large mobility.
Therefore, a technical scheme with high accuracy in the threat assessment of the air combat target needs to be provided. Thus, even in the case where the air combat target attribute is lost, the air combat target threat assessment can be performed with high accuracy.
Disclosure of Invention
The embodiment of the application provides a technical scheme with high accuracy rate of air combat target threat assessment, and is used for solving the technical problem of low accuracy rate of air combat target threat assessment with high maneuverability.
Specifically, the air combat target threat assessment method comprises the following steps:
acquiring state parameters representing the threat attributes of the air combat targets;
calculating the membership degree of the threat attribute according to the state parameter representing the air combat target threat attribute and through a threat estimation model to obtain the membership degree of the threat attribute under different threat levels;
calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function;
calculating results according to the credibility of the threat attributes under different threat levels, and correcting the credibility of the threat level of the threat attribute through a credibility correction model to obtain the corrected credibility of the threat level of the threat attribute;
correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthetic model to obtain the reliability of the air combat target under different threat levels;
selecting the maximum value of the credibility of the air combat target under different threat levels;
outputting the air combat target threat level corresponding to the maximum value;
wherein the threat levels include: high threat level, medium threat level, low threat level.
Further, acquiring state parameters representing the threat attribute of the air combat target specifically includes:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
Further, the method further comprises:
detecting whether the output air combat target threat level is a high threat level;
and when the output air combat target threat level is detected to be a high threat level, generating warning information.
Further, the method further comprises:
when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels;
and outputting the threat level corresponding to the maximum value as an air combat target threat level.
Further, the method further comprises:
when at least two air combat targets exist, extracting the threat level of each air combat target unit;
sorting the extracted threat levels according to a threat level sorting model;
selecting an air combat target unit with the highest threat level according to the sequencing result;
and outputting the selected air combat target unit.
Further, according to the reliability calculation results of the threat attributes under different threat levels, the threat level reliability of the threat attributes is corrected through a reliability correction model, and the threat level correction reliability of the threat attributes is obtained, specifically including:
calling the last calculation result of the credibility of the threat attribute under different threat levels;
and correcting the threat level credibility of the threat attribute according to the last calculation result and the current calculation result of the credibility of the threat attribute under different threat levels through a credibility correction model to obtain the threat level correction credibility of the threat attribute, which is expressed as follows:
in the formula, mxIs the last calculation result, m ', of the credibility of the threat attribute x under different threat levels'xThe calculated result is the credibility of the threat attribute x under different threat levels, and omega is a credibility correction coefficient;
wherein the expression of the reliability correction coefficient ω is as follows:
ω＝Pk(Pk+R)-1
in the formula, PkIs current m'xAnd mxAssistant ofDifference matrix, R is an influence factor.
The embodiment of the application also provides an air combat target threat assessment device.
Specifically, an air combat target threat assessment device includes:
the acquisition module is used for acquiring state parameters representing the threat attributes of the air combat targets;
the pre-estimation module is used for calculating the membership degree of the threat level of the threat attribute according to the state parameter representing the air combat target threat attribute and through a threat pre-estimation model to obtain the membership degree of the threat attribute under different threat levels;
the calculation module is used for calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function;
the correction module is used for calculating results according to the credibility of the threat attributes under different threat levels and correcting the credibility of the threat level of the threat attributes through the credibility correction model to obtain the corrected credibility of the threat level of the threat attributes;
the synthetic module is used for correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthetic model to obtain the reliability of the air combat target under different threat levels;
the selecting module is used for selecting the maximum value of the credibility of the air combat target under different threat levels;
the output module is used for outputting the air combat target threat level corresponding to the maximum value;
wherein the threat levels include: high threat level, medium threat level, low threat level.
Further, the obtaining module is configured to obtain a state parameter representing an attribute of the air combat target threat, and specifically configured to:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
Further, the apparatus further comprises:
the detection module is used for detecting whether the output air combat target threat level is a high threat level;
and the warning module is used for generating warning information when the output air combat target threat level is detected to be a high threat level.
Further, the selecting module is configured to select a maximum value of the credibility of the air combat target under different threat levels, and is further configured to:
and when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
by correcting the threat level reliability of the air combat target threat attribute and performing Dempster synthesis on the threat level correction reliability of the air combat target threat attribute, the data representing conflict in the state parameters of the air combat target threat attribute can be corrected, the dynamic evaluation of the air combat target threat attribute is realized, and the accuracy of the air combat target threat evaluation is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of an air combat target threat assessment method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an air combat target threat assessment apparatus according to an embodiment of the present application.
100 air battle target threat assessment device
11 acquisition module
12 estimation module
13 calculation module
14 correction module
15 synthesis module
16 selection module
17 output module
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a method for evaluating an air combat target threat provided by an embodiment of the present application includes the following steps:
s100: and acquiring state parameters representing the threat attributes of the air combat targets.
The threat state of the air combat target is evaluated, and firstly, the threat attribute of the air combat target needs to be determined. Wherein the threat attribute is a relevant characteristic that the air war target can cause a threat to the own party. For example, the air combat target loading capacity characteristic, the interference capability characteristic of the air combat target to the own party, the motion state characteristic of the air combat target relative to the own party, and the like. And determining the threat attribute of the air combat target, wherein state parameters capable of representing the threat attribute of the air combat target need to be acquired. For example, a state parameter representing the payload capacity of the air combat target, or a state parameter representing the interference capability of the air combat target on the own party, or a related state parameter representing the motion state of the air combat target relative to the own party is obtained. Specifically, the state parameter representing the air combat target loading capacity is the specific number of ammunition carried by the air combat target. The state parameter representing the interference capability of the air combat target on the own party is the specific interference degree or the interference range of the air combat target on the own party system. The relevant state parameters representing the moving state of the air combat target relative to the own party are the moving speed, the moving angle and the like of the air combat target relative to the own party. It is to be understood that the specific type and name of the air war target threat attribute described herein is not to be construed as limiting the scope of the specific protection afforded by the present application. The state parameters representing the threat attributes of the air combat target are obtained by reading data of detection equipment for detecting the related threat attributes. It is understood that the specific manner of obtaining the state parameters characterizing the threat attributes of the air war target described herein obviously does not limit the specific scope of protection of the present application.
Further, in a preferred embodiment provided by the present application, the obtaining of the state parameter representing the attribute of the air combat target threat specifically includes:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
Different threat attributes of the air combat target can cause different degrees of threats to own parties. Therefore, when acquiring the state parameters representing the air combat target threat attributes, it is necessary to acquire threat attribute state parameters that can be directly used for judging the degree of the air combat target threat. For example, disturbance capability status parameters, distance status parameters, motion or not status parameters, heading angle status parameters, speed status parameters, altitude status parameters, etc. that characterize the threat attributes of air combat targets. Specifically, the influence degree of the air combat target on the normal operation of the own system can be judged by acquiring the interference capability state parameter representing the threat attribute of the air combat target, so that the method can be used for evaluating the threat degree of the air combat target. By obtaining the distance state parameter representing the air combat target threat attribute, the distance between the air combat target and the own party can be judged, so that the method can be used for evaluating the threat degree of the air combat target. By acquiring the motion state parameter representing the air combat target threat attribute, whether the threat of the air combat target to the air combat target is a dynamic air combat target threat or a static air combat target threat can be judged, so that the method can be used for evaluating the threat degree of the air combat target. By obtaining the course angle state parameter representing the threat attribute of the air combat target, the moving direction and the moving trend of the air combat target relative to the own party can be judged, so that the method can be used for evaluating the threat degree of the air combat target. By acquiring the height state parameters representing the threat attributes of the air combat targets, the height parameters of the air combat targets relative to the own party can be judged, so that the method can be used for evaluating the threat degree of the air combat targets. The acquired state parameters representing the air combat target threat attributes are comprehensively analyzed, so that the air combat target threat degree can be more accurately analyzed. Therefore, the state parameter representing the threat attribute of the air combat target needs to be at least one of the interference capability state parameter, the distance state parameter, the motion state parameter, the course angle state parameter, the speed state parameter and the altitude state parameter representing the threat attribute of the air combat target.
S200: calculating the membership degree of the threat attribute according to the state parameter representing the air combat target threat attribute and through a threat estimation model to obtain the membership degree of the threat attribute under different threat levels; wherein the threat levels include: high threat level, medium threat level, low threat level.
And according to the obtained state parameters representing the air combat target threat attributes, the air combat target threat assessment can be developed. The state parameters comprise at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters which represent threat attributes of the air combat targets. And (4) carrying out threat assessment on the air combat target, firstly, calculating membership degrees of each threat attribute of the air combat target under different threat levels according to the obtained related parameters. By calculating the threat level membership of each threat attribute of the air combat target, the threat of the air combat target to the air combat target can be more accurately evaluated. Wherein the threat levels include: high threat level, medium threat level, low threat level. Specifically, the threat level membership of each threat attribute of the air combat target is calculated through a threat estimation model. The threat prediction model is established based on a fuzzy set theory. The threat level classification basis of the high threat level, the medium threat level and the low threat level of each threat attribute in the threat estimation model can be manually set according to the actual application scene. And then, calculating the membership degree of the threat level according to the set threat level division basis and the acquired state parameters representing the corresponding threat attributes. Therefore, the threat level membership of each threat attribute under different threat levels can be obtained. It is to be understood that the specific classification of threat levels described herein is not to be construed as limiting the scope of the invention in any way.
S300: and calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function.
And calculating the credibility of each threat attribute under different threat levels through a credibility function according to the membership degree of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like. The threat level membership of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like, namely the probability value of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like. In this way, the assigned probability of each threat attribute at each threat level is obtained. The distribution probability values of the threat attributes under different threat levels are brought into the reliability function for calculation, so that the reliability of the threat attributes under different threat levels can be obtained. Wherein the confidence function is a trust function in the D-S evidence theory. By respectively calculating the threat level credibility of each threat attribute, the phenomenon that the air combat target threat assessment cannot be carried out due to the loss of individual threat attributes can be effectively avoided.
S400: and calculating results according to the credibility of the threat attributes under different threat levels, and correcting the credibility of the threat level of the threat attribute through a credibility correction model to obtain the corrected credibility of the threat level of the threat attribute.
And modifying the threat level credibility of each threat attribute of the air combat target through a credibility modification model, wherein the modification is mainly to dynamically modify the calculated threat level credibility in real time. And finally, obtaining the correction credibility of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like. Therefore, conflicting state parameters in the acquired state parameters representing the air combat target threat attributes can be effectively corrected, so that the threat level credibility of each threat attribute is more accurate, and the accuracy of air combat target threat assessment is improved.
Further, in a preferred embodiment provided by the present application, the calculating of the reliability of the threat attribute at different threat levels according to the reliability of the threat attribute, and performing threat level reliability correction on the threat attribute through a reliability correction model to obtain a threat level correction reliability of the threat attribute specifically includes:
calling the last calculation result of the credibility of the threat attribute under different threat levels;
and correcting the threat level credibility of the threat attribute according to the last calculation result and the current calculation result of the credibility of the threat attribute under different threat levels through a credibility correction model to obtain the threat level correction credibility of the threat attribute, which is expressed as follows:
in the formula, mxIs the last calculation result, m ', of the credibility of the threat attribute x under different threat levels'xThe calculated result is the credibility of the threat attribute x under different threat levels, and omega is a credibility correction coefficient;
wherein the expression of the reliability correction coefficient ω is as follows:
ω＝Pk(Pk+R)-1
in the formula, PkIs current m'xAnd mxR is an influence factor.
And correcting the threat level reliability of the threat attribute, namely firstly calling the last calculation result of the threat level reliability of the threat attribute, and then correcting the threat level reliability of the threat attribute in real time according to the last calculation result. In this way, data which are in conflict in the state parameters representing the air combat target threat attribute can be corrected, and dynamic evaluation of the air combat target threat attribute can be achieved. Specifically, the reliability of the threat level of the threat attribute is corrected through a reliability correction model. The correction model is used for correcting the reliability of the threat level based on the Kalman filtering principle and is expressed as follows:
in the formula, mxIs the last calculation result, m ', of the credibility of the threat attribute x under different threat levels'xAnd omega is a reliability correction coefficient, and is a calculation result of the reliability of the threat attribute x under different threat levels. Wherein the expression of the reliability correction coefficient ω is as follows:
ω＝Pk(Pk+R)-1
in the formula, PkIs current m'xAnd mxR is an influence factor; the influence factor R is generally of the value
S500: and correcting the reliability according to the threat level of the threat attribute, and calculating the reliability of the threat level of the air combat target through a Dempster synthetic model to obtain the reliability of the air combat target under different threat levels.
And (4) synthesizing the threat level correction credibility of each threat attribute, namely combining the credibility of each threat attribute of the air combat target to obtain the credibility of the air combat target under each threat level. Specifically, the threat levels of the threat attributes are corrected and credibility is synthesized through a Dempster synthesis model. The Dempster synthesis model is established based on Dempster combination rules in a D-S evidence theory. And calculating the threat level correction credibility of each threat attribute through a Dempster synthetic model, and obtaining the credibility of the air combat target under different threat levels such as a high threat level, a medium threat level and a low threat level. And after the reliability of the threat level of each threat attribute of the air combat target is independently calculated and corrected by a reliability function, Dempster synthesis is carried out, so that the calculated reliability of the air combat target under each threat level is more accurate. Therefore, the threat level assessment of the air war target is more accurate.
S600: and selecting the maximum value of the credibility of the air combat target under different threat levels.
And correcting the reliability according to the threat levels of the threat attributes and synthesizing through a Dempster synthetic model, so that the reliability of the air combat target under different threat levels such as a high threat level, a medium threat level and a low threat level can be obtained. At this time, the credibility of three threat levels is correspondingly obtained. The higher the confidence value of the threat level is, the closer the air combat target threat level approaches the threat level corresponding to the confidence value. Therefore, the selection of the maximum value of the credibility of the air combat target under different threat levels is needed. In this way, the threat level corresponding to the air war target can be conveniently and directly determined.
S700: and outputting the air combat target threat level corresponding to the maximum value.
It will be appreciated that the higher the confidence value of a threat level, the closer the air combat target threat level approaches the threat level to which the confidence value corresponds. Therefore, the threat level corresponding to the maximum value of the credibility of the air combat target under different threat levels is the threat level of the air combat target. At this time, the threat level corresponding to the maximum value may be output as the threat level of the air combat target. For example, the credibility of the air combat target under the high threat level, the medium threat level and the low threat level is respectively 0.20, 0.30 and 0.50 according to the threat level correction credibility of the threat attribute and the calculation of a Dempster synthetic model. It can be seen that the maximum value of the confidence levels of the air combat targets under different threat levels is 0.50, and the threat level corresponding to the value is a low threat level. Thus, the output air combat target threat level is a low threat level.
Further, in a preferred embodiment provided herein, the method further includes:
detecting whether the output air combat target threat level is a high threat level;
and when the output air combat target threat level is detected to be a high threat level, generating warning information.
It is understood that the threat levels of the air combat target are divided into a high threat level, a medium threat level and a low threat level, and the output air combat target threat level corresponds to any one of the high threat level, the medium threat level and the low threat level. The higher the threat level of the air combat target is, the higher the threat level of the air combat target to the air combat target is. In this case, the corresponding air combat objectives should be emphasized. Therefore, when the output air combat target threat level is a high threat level, the relevant warning information needs to be generated so as to remind the relevant personnel and the relevant system of the own party. Therefore, when the air combat target threat assessment is performed, whether the output air combat target threat level is a high threat level needs to be detected. And when the output air combat target threat level is detected to be a high threat level, generating warning information.
Further, in a preferred embodiment provided herein, the method further includes:
when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels;
and outputting the threat level corresponding to the maximum value as an air combat target threat level.
It is understood that the threat levels of the air combat target are divided into a high threat level, a medium threat level and a low threat level, and the output air combat target threat level corresponds to any one of the high threat level, the medium threat level and the low threat level. However, the reliability is corrected according to the threat level of the threat attribute and calculated by the Dempster synthetic model, and the obtained reliability of the air combat target under the high threat level, the medium threat level and the low threat level has the condition that the two reliability values are the same and are the maximum values. For example, the credibility of the air combat target is corrected according to the threat level of the threat attribute and calculated by a Dempster synthetic model, and the obtained credibility of the air combat target under the high threat level, the medium threat level and the low threat level is 0.10, 0.45 and 0.45 respectively. The threat level of the air combat target cannot be judged by using the original threat level determining method. In this case, the air combat target threat level should be determined according to the credibility of the air combat target threat attribute under different threat levels.
Specifically, when two equal maximum values exist in the reliability of the air combat target under different threat levels, the maximum value in the reliability calculation results of the air combat target threat attributes under different threat levels is selected. And outputting the threat level corresponding to the maximum value as an air combat target threat level. For example, the reliability is corrected according to the threat level of the threat attribute and calculated through a Dempster synthetic model, and two equal maximum values exist in the reliability of the obtained air combat target under the high threat level, the medium threat level and the low threat level. The air combat target corresponds to three threat attributes, each threat attribute corresponds to 3 threat level credibility, and then the air combat target corresponds to 9 threat level credibility values. At this point, the maximum of all the confidence levels is selected. And the threat level corresponding to the maximum value is the threat level of the air combat target.
Further, in a preferred embodiment provided herein, the method further includes:
when at least two air combat targets exist, extracting the threat level of each air combat target unit;
sorting the extracted threat levels according to a threat level sorting model;
selecting an air combat target unit with the highest threat level according to the sequencing result;
and outputting the selected air combat target unit.
It is understood that the threat levels of the air combat target are divided into a high threat level, a medium threat level and a low threat level, and the output air combat target threat level corresponds to any one of the high threat level, the medium threat level and the low threat level. And when at least two air combat target units exist, correspondingly obtaining the threat level of each air combat target unit. However, the threat levels of the individual air combat target units are not exactly the same. The higher the threat level is, the more dangerous the corresponding air combat target unit is, and the more important the corresponding air combat target unit is. In this case, the air combat target unit with a high risk level needs to be preferentially output to attract the attention of the system and the related personnel.
Specifically, when there are at least two air combat targets, the threat level of each air combat target unit is first extracted. The extracted threat levels may be ranked according to a threat level ranking model. And selecting the air combat target unit with the highest threat level according to the sequencing result. At this time, the selected air combat target unit is output. Therefore, the own system and related personnel can know the air combat target unit with the highest threat level in time, and corresponding countermeasures can be made in time.
Referring to fig. 2, an air combat target threat assessment apparatus 100 according to an embodiment of the present application includes:
the acquiring module 11 is used for acquiring state parameters representing the threat attributes of the air combat targets;
the estimation module 12 is used for calculating the membership degree of the threat level of the threat attribute according to the state parameter representing the threat attribute of the air combat target and through a threat estimation model to obtain the membership degree of the threat attribute under different threat levels;
the calculation module 13 is used for calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function;
the correction module 14 is configured to calculate results according to the credibility of the threat attributes at different threat levels, and correct the threat level credibility of the threat attributes through the credibility correction model to obtain the threat level correction credibility of the threat attributes;
the synthesis module 15 is used for correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthesis model to obtain the reliability of the air combat target under different threat levels;
the selecting module 16 is used for selecting the maximum value of the credibility of the air combat target under different threat levels;
the output module 17 is used for outputting the air combat target threat level corresponding to the maximum value;
wherein the threat levels include: high threat level, medium threat level, low threat level.
And the obtaining module 11 is configured to obtain a state parameter representing an attribute of the air combat target threat. The threat state of the air combat target is evaluated, and firstly, the threat attribute of the air combat target needs to be determined. And the threat attribute is a relevant index which can cause a threat to the own party by the air combat target. For example, the air combat target loading capacity characteristic, the interference capability characteristic of the air combat target to the own party, the motion state characteristic of the air combat target relative to the own party, and the like. And determining the threat attribute of the air combat target, wherein state parameters capable of representing the threat attribute of the air combat target need to be acquired. For example, a state parameter representing the payload capacity of the air combat target, or a state parameter representing the interference capability of the air combat target on the own party, or a related state parameter representing the motion state of the air combat target relative to the own party is obtained. Specifically, the state parameter representing the air combat target loading capacity is the specific number of ammunition carried by the air combat target. The state parameter representing the interference capability of the air combat target on the own party is the specific interference degree or the interference range of the air combat target on the own party system. The relevant state parameters representing the moving state of the air combat target relative to the own party are the moving speed, the moving angle and the like of the air combat target relative to the own party. It is to be understood that the specific type and name of the air war target threat attribute described herein is not to be construed as limiting the scope of the specific protection afforded by the present application. The obtaining module 11 obtains the state parameters representing the threat attributes of the air combat target, and can obtain the state parameters by reading data of a detecting device for detecting the related threat attributes. It is understood that the specific manner of obtaining the state parameters characterizing the threat attributes of the air war target described herein obviously does not limit the specific scope of protection of the present application.
Further, in a preferred embodiment provided in the present application, the obtaining module 11 is configured to obtain a state parameter representing an attribute of the air combat target threat, and specifically configured to:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
Different threat attributes of the air combat target can cause different degrees of threats to own parties. Therefore, when acquiring the state parameter representing the air combat target threat attribute, the acquiring module 11 needs to acquire the threat attribute state parameter which can be directly used for judging the air combat target threat degree. For example, disturbance capability status parameters, distance status parameters, motion or not status parameters, heading angle status parameters, speed status parameters, altitude status parameters, etc. that characterize the threat attributes of air combat targets. Specifically, the obtaining module 11 can determine the degree of influence of the air combat target on the normal operation of the own system by obtaining the interference capability state parameter representing the threat attribute of the air combat target, so that the obtaining module can be used for evaluating the threat degree of the air combat target. The obtaining module 11 can judge the distance between the air combat target and the own party by obtaining the distance state parameter representing the threat attribute of the air combat target, so that the obtaining module can be used for evaluating the threat degree of the air combat target. The obtaining module 11 can judge whether the threat of the air combat target to the own party is a dynamic air combat target threat or a static air combat target threat by obtaining the motion state parameter representing the attribute of the air combat target threat, so that the obtaining module can be used for evaluating the threat degree of the air combat target. The obtaining module 11 can judge the moving direction and the moving trend of the air combat target relative to the own party by obtaining the heading angle state parameter representing the threat attribute of the air combat target, so that the obtaining module can be used for evaluating the threat degree of the air combat target. The obtaining module 11 can judge the height parameter of the air combat target relative to the own party by obtaining the height state parameter representing the threat attribute of the air combat target, so that the obtaining module can be used for evaluating the threat degree of the air combat target. By comprehensively analyzing the state parameters representing the air combat target threat attributes acquired by the acquisition module 11, the air combat target threat degree can be more accurately analyzed. Therefore, the obtaining module 11 obtains the state parameter representing the threat attribute of the air combat target, and needs to obtain at least one state parameter of the interference capability state parameter, the distance state parameter, the motion state parameter, the heading angle state parameter, the speed state parameter and the altitude state parameter representing the threat attribute of the air combat target.
The estimation module 12 is used for calculating the membership degree of the threat level of the threat attribute according to the state data of the threat attribute and through a threat estimation model to obtain the membership degree of the threat attribute under different threat levels; wherein the threat levels include: high threat level, medium threat level, low threat level. According to the state parameters representing the air combat target threat attributes acquired by the acquisition module 11, air combat target threat assessment can be performed. The state parameters comprise at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters which represent threat attributes of the air combat targets. And (3) carrying out threat assessment on the air combat target, wherein firstly, the estimation module 12 is required to calculate the membership degree of each threat attribute of the air combat target under different threat levels according to the relevant parameters acquired by the acquisition module 11. The threat level membership of each threat attribute of the air combat target is calculated through the estimation module 12, so that the threat of the air combat target to the air combat target can be more accurately estimated. Wherein the threat levels include: high threat level, medium threat level, low threat level. Specifically, the estimation module 12 calculates the threat level membership of each threat attribute of the air combat target through a threat estimation model. The threat prediction model is established based on a fuzzy set theory. The threat level classification basis of the high threat level, the medium threat level and the low threat level of each threat attribute in the threat estimation model can be manually set according to the actual application scene. Then, the pre-estimation module 12 may calculate the membership degree of the threat level according to the set threat level classification basis and the obtained state parameters representing the corresponding threat attributes. Therefore, the threat level membership of each threat attribute under different threat levels can be obtained. It is to be understood that the specific classification of threat levels described herein is not to be construed as limiting the scope of the invention in any way.
And the calculation module 13 is used for calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function. The calculation module 13 calculates the degree of membership of the threat level of each threat attribute at different threat levels, such as a high threat level, a medium threat level, a low threat level, and the like, through a reliability function, and then obtains the reliability of each threat attribute at different threat levels. The threat level membership of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like, namely the probability value of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like. In this way, the assigned probability of each threat attribute at each threat level is obtained. The distribution probability values of the threat attributes under different threat levels are brought into the reliability function for calculation, so that the reliability of the threat attributes under different threat levels can be obtained. Wherein the confidence function is a trust function in the D-S evidence theory. By respectively calculating the threat level credibility of each threat attribute through the calculation module 13, the phenomenon that the air combat target threat assessment cannot be carried out due to the loss of individual threat attributes can be effectively avoided.
And the correction module 14 is configured to calculate a result according to the credibility of the threat attribute at different threat levels, and correct the credibility of the threat level of the threat attribute through the credibility correction model to obtain a corrected credibility of the threat level of the threat attribute. The correction module 14 corrects the threat level credibility of each threat attribute of the air combat target through a credibility correction model, and mainly dynamically corrects the calculated threat level credibility in real time. And finally, obtaining the correction credibility of each threat attribute under different threat levels such as a high threat level, a medium threat level, a low threat level and the like. Therefore, conflicting state parameters in the acquired state parameters representing the air combat target threat attributes can be effectively corrected, so that the threat level credibility of each threat attribute is more accurate, and the accuracy of air combat target threat assessment is improved.
And the synthesis module 15 is used for correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthesis model to obtain the reliability of the air combat target under different threat levels. The synthesis module 15 synthesizes the threat level correction credibility of each threat attribute, that is, combines the credibility of each threat attribute of the air combat target to obtain the credibility of the air combat target under each threat level. Specifically, the synthesis module 15 synthesizes the threat level correction credibility of each threat attribute through a Dempster synthesis model. The Dempster synthesis model is established based on Dempster combination rules in a D-S evidence theory. And calculating the threat level correction credibility of each threat attribute through a Dempster synthetic model, and obtaining the credibility of the air combat target under different threat levels such as a high threat level, a medium threat level and a low threat level. And after the reliability of the threat level of each threat attribute of the air combat target is independently calculated and corrected by a reliability function, Dempster synthesis is carried out, so that the calculated reliability of the air combat target under each threat level is more accurate. Therefore, the threat level assessment of the air war target is more accurate.
And the selecting module 16 is used for selecting the maximum value of the credibility of the air combat target under different threat levels. And correcting the reliability according to the threat levels of the threat attributes and synthesizing through a Dempster synthetic model, so that the reliability of the air combat target under different threat levels such as a high threat level, a medium threat level and a low threat level can be obtained. At this time, the credibility of three threat levels is correspondingly obtained. The higher the confidence value of the threat level is, the closer the air combat target threat level approaches the threat level corresponding to the confidence value. Therefore, the selection module 16 is required to select the maximum value of the credibility of the air combat target under different threat levels. In this way, the threat level corresponding to the air war target can be conveniently and directly determined.
Further, in a preferred embodiment provided by the present application, the selecting module 16 is configured to select a maximum value of the credibility of the air combat target under different threat levels, and further configured to:
and when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels.
It is understood that the threat levels of the air combat target are divided into a high threat level, a medium threat level and a low threat level, and the output air combat target threat level corresponds to any one of the high threat level, the medium threat level and the low threat level. However, the reliability is corrected according to the threat level of the threat attribute and calculated by the Dempster synthetic model, and the obtained reliability of the air combat target under the high threat level, the medium threat level and the low threat level has the condition that the two reliability values are the same and are the maximum values. For example, the credibility of the air combat target is corrected according to the threat level of the threat attribute and calculated by a Dempster synthetic model, and the obtained credibility of the air combat target under the high threat level, the medium threat level and the low threat level is 0.10, 0.45 and 0.45 respectively. The threat level of the air combat target cannot be judged by using the original threat level determining method. In this case, the air combat target threat level should be determined according to the credibility of the air combat target threat attribute under different threat levels.
Specifically, when two equal maximum values exist in the reliability of the air combat target under different threat levels, the selection module 16 selects the maximum value in the reliability calculation results of the air combat target threat attributes under different threat levels. At this time, the threat level of the air combat target corresponds to the threat level corresponding to the maximum value. For example, the reliability is corrected according to the threat level of the threat attribute and calculated through a Dempster synthetic model, and two equal maximum values exist in the reliability of the obtained air combat target under the high threat level, the medium threat level and the low threat level. The air combat target corresponds to three threat attributes, each threat attribute corresponds to 3 threat level credibility, and then the air combat target corresponds to 9 threat level credibility values. At this point, the selection module 16 selects the maximum value of all the credibility. And the threat level corresponding to the maximum value is the threat level of the air combat target.
And the output module 17 is used for outputting the air combat target threat level corresponding to the maximum value. It will be appreciated that the higher the confidence value of a threat level, the closer the air combat target threat level approaches the threat level to which the confidence value corresponds. Therefore, the threat level corresponding to the maximum value of the credibility of the air combat target under different threat levels is the threat level of the air combat target. At this time, the output module 17 may output the threat level corresponding to the maximum value as the threat level of the air battle target. In addition, when two equal maximum values exist in the reliability of the air combat target under different threat levels, the selection module 16 selects the maximum value in the reliability calculation results of the air combat target threat attributes under different threat levels. At this time, the output module 17 outputs the threat level corresponding to the maximum value. For example, the credibility of the air combat target under the high threat level, the medium threat level and the low threat level is respectively 0.20, 0.30 and 0.50 according to the threat level correction credibility of the threat attribute and the calculation of a Dempster synthetic model. It can be seen that the maximum value of the confidence levels of the air combat targets under different threat levels is 0.50, and the threat level corresponding to the value is a low threat level. Therefore, the air combat target threat level output by the output module 17 is a low threat level.
Further, in a preferred embodiment provided herein, the apparatus further includes:
the detection module is used for detecting whether the output air combat target threat level is a high threat level;
and the warning module is used for generating warning information when the output air combat target threat level is detected to be a high threat level.
It is understood that the threat levels of the air combat target are divided into a high threat level, a medium threat level and a low threat level, and the output air combat target threat level corresponds to any one of the high threat level, the medium threat level and the low threat level. The higher the threat level of the air combat target is, the higher the threat level of the air combat target to the air combat target is. In this case, the corresponding air combat objectives should be emphasized. Therefore, when the output air combat target threat level is a high threat level, the relevant warning information needs to be generated so as to remind the relevant personnel and the relevant system of the own party. Therefore, when the air combat target threat assessment is performed, the detection module is also required to detect whether the output air combat target threat level is a high threat level. When the detection module detects that the output air combat target threat level is a high threat level, the warning module generates warning information.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the statement that there is an element defined as "comprising" … … does not exclude the presence of other like elements in the process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An air combat target threat assessment method is characterized by comprising the following steps:
acquiring state parameters representing the threat attributes of the air combat targets;
calculating the membership degree of the threat attribute according to the state parameter representing the air combat target threat attribute and through a threat estimation model to obtain the membership degree of the threat attribute under different threat levels;
calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function;
calculating results according to the credibility of the threat attributes under different threat levels, and correcting the credibility of the threat level of the threat attribute through a credibility correction model to obtain the corrected credibility of the threat level of the threat attribute;
correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthetic model to obtain the reliability of the air combat target under different threat levels;
selecting the maximum value of the credibility of the air combat target under different threat levels;
outputting the air combat target threat level corresponding to the maximum value;
wherein the threat levels include: high threat level, medium threat level, low threat level.
2. The air combat target threat assessment method of claim 1, wherein obtaining state parameters characterizing the attributes of the air combat target threat specifically comprises:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
3. An air combat target threat assessment method according to claim 1, said method further comprising:
detecting whether the output air combat target threat level is a high threat level;
and when the output air combat target threat level is detected to be a high threat level, generating warning information.
4. An air combat target threat assessment method according to claim 1, said method further comprising:
when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels;
and outputting the threat level corresponding to the maximum value as an air combat target threat level.
5. An air combat target threat assessment method according to claim 1, said method further comprising:
when at least two air combat targets exist, extracting the threat level of each air combat target unit;
sorting the extracted threat levels according to a threat level sorting model;
selecting an air combat target unit with the highest threat level according to the sequencing result;
and outputting the selected air combat target unit.
6. The air combat target threat assessment method according to claim 1, wherein the calculation result of the credibility of the threat attribute under different threat levels is obtained, and the threat level credibility of the threat attribute is corrected through a credibility correction model to obtain the threat level correction credibility of the threat attribute, specifically comprising:
calling the last calculation result of the credibility of the threat attribute under different threat levels;
and correcting the threat level credibility of the threat attribute according to the last calculation result and the current calculation result of the credibility of the threat attribute under different threat levels through a credibility correction model to obtain the threat level correction credibility of the threat attribute, which is expressed as follows:
in the formula, mxIs the last calculation result, m ', of the credibility of the threat attribute x under different threat levels'xThe calculated result is the credibility of the threat attribute x under different threat levels, and omega is a credibility correction coefficient;
wherein the expression of the reliability correction coefficient ω is as follows:
ω＝Pk(Pk+R)-1
in the formula, PkIs current m'xAnd mxR is an influence factor.
7. An air combat target threat assessment apparatus, comprising:
the acquisition module is used for acquiring state parameters representing the threat attributes of the air combat targets;
the pre-estimation module is used for calculating the membership degree of the threat level of the threat attribute according to the state parameter representing the air combat target threat attribute and through a threat pre-estimation model to obtain the membership degree of the threat attribute under different threat levels;
the calculation module is used for calculating the credibility of the threat attribute under different threat levels according to the membership degree of the threat attribute under different threat levels and through a credibility function;
the correction module is used for calculating results according to the credibility of the threat attributes under different threat levels and correcting the credibility of the threat level of the threat attributes through the credibility correction model to obtain the corrected credibility of the threat level of the threat attributes;
the synthetic module is used for correcting the reliability according to the threat level of the threat attribute and calculating the reliability of the threat level of the air combat target through a Dempster synthetic model to obtain the reliability of the air combat target under different threat levels;
the selecting module is used for selecting the maximum value of the credibility of the air combat target under different threat levels;
the output module is used for outputting the air combat target threat level corresponding to the maximum value;
wherein the threat levels include: high threat level, medium threat level, low threat level.
8. The air combat target threat assessment apparatus according to claim 7, wherein the obtaining module is configured to obtain a state parameter representing an attribute of the air combat target threat, and is specifically configured to:
at least one state parameter of interference ability state parameters, distance state parameters, motion state parameters, course angle state parameters, speed state parameters and altitude state parameters representing the threat attributes of the air combat targets is obtained.
9. An air combat target threat assessment apparatus as claimed in claim 7, said apparatus further comprising:
the detection module is used for detecting whether the output air combat target threat level is a high threat level;
and the warning module is used for generating warning information when the output air combat target threat level is detected to be a high threat level.
10. The air combat target threat assessment apparatus of claim 7, wherein the selection module is configured to select a maximum of the confidence levels of the air combat target at different threat levels, and further configured to:
and when two equal maximum values exist in the credibility of the air combat target under different threat levels, selecting the maximum value in the credibility calculation results of the threat attributes of the air combat target under different threat levels.
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