CN117078182A - Air defense and reflection conductor system cooperative method, device and equipment of heterogeneous network - Google Patents

Abstract

The invention provides an air defense and reflection conductor system cooperative method, device and equipment of a heterogeneous network, wherein the method comprises the following steps: selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the hit equipment; forming a plurality of air defense reverse-conduction cooperative networks based on cooperative equipment and other types of equipment different from the cooperative equipment; evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement; the evaluation indexes comprise flexibility indexes about whether the network structure can respond to different requirements or not, economical indexes about whether communication and maintenance costs are too high or not, and offensiveness indexes about the magnitude of killing and defending ability of enemy. The method provided by the invention is used for rapidly forming a plurality of anti-air-defense reverse-conduction cooperative networks, and can objectively and comprehensively evaluate the networks to determine the target anti-air-defense reverse-conduction cooperative network with the cooperative effect meeting the requirement.

Description

Air defense and reflection conductor system cooperative method, device and equipment of heterogeneous network

Technical Field

The invention belongs to the technical field of computers, and particularly relates to an air defense and reflection conductor system cooperative method, device and equipment of a heterogeneous network.

Background

In the information age, anti-air defense has become one of the important means for maintaining security. The typical anti-air-defense system is a comprehensive system integrating multiple functions of air defense, anti-conduction and the like, and comprises elements of investigation detection, command control, fire striking and the like, and a communication system supporting internal communication of the system. In recent years, the traditional air defense system faces great challenges in dealing with complex and varied environments, so that a relatively complete collaborative mode system or collaborative capability needs to be constructed in order to maximize the performance of the air defense system. How to model and evaluate the performance of the anti-air defense and anti-conduction collaborative mode provides reliable basis for practical application guiding concepts and researches, and becomes a hot problem of the current informatization research.

When the collaborative combat system is researched, a collaborative combat system model needs to be built first. Numerous researchers have made a great deal of work in this regard. At present, the method provided for the collaborative combat system design mainly comprises a multi-layer reverse-guiding collaborative combat task modeling method based on UML and Petri networks, a collaborative combat system structural model based on DoDAF and a collaborative combat model based on meta model, wherein the modeling methods have standard design criteria, the systematicness and completeness of the collaborative combat system model are improved, the problems of difficult design, wide application range and the like of the method model exist, the informatization requirement cannot be met, and a complex network can provide a new view angle and a new method for the collaborative combat system design by taking the integral modeling as the characteristics, and the defects can be overcome. Some methods are based on complex dynamic network methods to develop and research the collaborative combat capability of the system; still other methods are to build a coordinated model of a command control system from the perspective of a complex network; other methods are based on complex networks to model unmanned aerial vehicle collaborative combat systems and to evaluate collaborative effects. However, in these complex network-based collaborative combat system studies, although the connection relationship of equipment in the air defense and reverse conduction collaborative combat system can be characterized to some extent, the heterogeneity of the air defense and reverse conduction equipment and the diversity of the interaction relationship between the equipment cannot be reflected. Equipment in a collaborative combat architecture is generally simplified into nodes of the same type, and interaction relationships between the equipment are often considered as edges of the same type only, ignoring the non-homogeneity of the collaborative combat architecture.

Disclosure of Invention

The invention aims to solve the technical problem of providing an air defense and reverse conductor system cooperative method, device and equipment of a heterogeneous network, which are used for rapidly forming a plurality of air defense and reverse conductor cooperative networks and can objectively and comprehensively evaluate the networks to determine a target air defense and reverse conductor cooperative network with a cooperative effect meeting the requirement.

The invention includes a method for cooperative anti-air-defense system of heterogeneous network, the heterogeneous network includes nodes formed by different kinds of equipment and connected edges characterizing interaction relation between different nodes, the different kinds of equipment include investigation equipment, decision equipment, attack equipment and target equipment to be attacked, the method includes:

selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the hit equipment;

forming a plurality of air defense anti-pilot cooperative networks based on cooperative equipment and other equipment with different categories from the cooperative equipment, wherein the air defense anti-pilot cooperative networks comprise investigation equipment, decision equipment, hitting equipment and target equipment;

evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

The evaluation index comprises a flexibility index for quickly adjusting whether the network structure can respond to different demands, an economical index for judging whether communication and maintenance costs are too high, and an offensiveness index for resisting the killing and defending capability of enemy.

As an optional embodiment, the selecting cooperative equipment based on a cooperative rule at least in the investigation equipment and the striking equipment includes:

at least obtaining position information, capability values and hidden values of the investigation equipment and the striking equipment, wherein the capability values represent the capability of the self equipment to execute the self function, and the hidden values represent the probability of the target equipment to find the equipment;

and selecting cooperative equipment at least in the investigation equipment and the striking equipment based on the position information, the capability value, the hidden value and the cooperative rule.

As an alternative embodiment, the collaboration rule includes:

selecting a first coordination rule that a distance from the own equipment satisfies a first threshold value and cooperates with equipment of the same class as the own equipment based on the distance information;

selecting a second coordination rule that the capability value satisfies a second threshold value based on the capability value and that coordinates with equipment of the same class as the own equipment;

Selecting a third cooperation rule that the concealment value satisfies a third threshold value and cooperates with equipment of the same class as the own equipment based on the concealment value;

a fourth coordination rule is randomly selected to coordinate with equipment of the same class as the own equipment.

As an optional embodiment, the flexibility index is measured based on a communication delay between the cooperative devices and an information sharing range in the air defense and reverse conduction cooperative network, where the communication delay is proportional to an average path length between the cooperative devices, and the information sharing range refers to the number of nodes that information in the air defense and reverse conduction cooperative network propagates through:

wherein I represents an information sharing range, indegree _i Information receiving quantity representing node of corresponding investigation equipment or hit equipment in air defense reverse conducting cooperative network _i And the number of the nodes with the information receiving quantity larger than 0 is represented by more than 0, k represents the number of the investigation nodes and the hit nodes in the anti-empty reverse-conduction cooperative network, S represents investigation equipment, and A represents hit equipment.

As an optional embodiment, the economic indicator is measured based on the connection cost generated by communication transmission between different nodes in the air defense reverse conducting cooperative network and the maintenance cost of the different nodes, and the connection cost C _edge The method comprises the following steps:

the node maintenance cost C _node The method comprises the following steps:

wherein c ₁ Representing the edge cost, sigma d, generated by communication transmission per unit distance between the nodes _ij x _ij Representing the sum of the edge lengths present in the network c ₂ Representing the maintenance cost of each node, wherein the maintenance cost of each node is proportional to the number of times the node processes information.

As an optional embodiment, the attack and defense indexes measure the killing capability based on the capability values of nodes selected by the defended air-defense cooperative network in different combat stages, and measure the defending capability based on the hidden values of the nodes participating in combat and the number of killing chains in the network, wherein the killing chains represent complete combat paths from investigation equipment to investigation equipment of target class to combat equipment of target class;

wherein, the killing capacity Q is:

the defensive power S is as follows:

count{degree _(ij) the number of nodes which are greater than 0 and are once involved in the combat at the ith stage in the combat process is represented by the number of more than 0 _(ij) Representing the number of times the jth node of the ith stage has participated in the combat of the ith stage, capability _(ij) A capability value representing a j-th node of the i-th phase; cc (cc) _i Representing the hidden value of node i, n _chain Indicating the number of kill chains in the network.

As an optional embodiment, the evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with a cooperative effect meeting the requirement includes:

forming an evaluation strategy by a comprehensive analytic hierarchy process and an ideal solution;

each index value of each air defense reverse conducting cooperative network is respectively determined based on the evaluation index, wherein the index value is a measurement parameter of each index and comprises one or more of communication delay, information sharing range, continuous edge cost, node maintenance cost, killing capacity and defensive capacity;

and evaluating the plurality of air defense reverse conducting cooperative networks based on the index values and the evaluation strategies so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement.

As an optional embodiment, the evaluating the plurality of air defense reverse conducting cooperative networks based on the index value and the evaluation policy to determine a target air defense reverse conducting cooperative network with a cooperative effect meeting a requirement includes:

calculating and determining normalized weights corresponding to the index values based on the analytic hierarchy process;

constructing an index value matrix;

carrying out forward processing on the index value matrix based on the approach to ideal solution, so that indexes representing negative directions and corresponding index values are forward processed;

Normalizing the normalized index value matrix based on the approach to ideal solution to obtain a normalized index value matrix;

multiplying the normalized index value matrix by the normalized weight of each index value to obtain a weighted normalized index matrix;

calculating the index matrix based on the approach ideal solution to obtain a positive ideal solution and a negative ideal solution, wherein the positive ideal solution is the maximum value of the column vector of the index matrix, and the negative ideal solution is the minimum value of the column vector of the index matrix:

calculating the distance between each air defense reverse conduction cooperative network and a positive ideal solution and a negative ideal solution respectively by adopting Euclidean distance;

calculating the proximity of each air defense anti-pilot cooperative network to a positive ideal solution or a negative ideal solution based on the distance;

and determining a target air defense reverse conducting cooperative network from the plurality of air defense reverse conducting cooperative networks based on the proximity.

The invention also provides an air defense and anti-conductor system cooperative device of a heterogeneous network, the heterogeneous network comprises nodes formed by different types of equipment and connecting edges for representing interaction relations among the different nodes, the different types of equipment comprise investigation equipment, decision equipment, striking equipment and target equipment to be attacked, and the device comprises:

The selection module is used for selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the striking equipment;

the forming module is used for forming a plurality of air defense reverse conduction cooperative networks according to cooperative equipment and other equipment with different categories from the cooperative equipment, wherein the air defense reverse conduction cooperative networks comprise investigation equipment, decision-making equipment, hitting equipment and target equipment;

the evaluation module is used for evaluating the plurality of air defense reverse conducting cooperative networks according to the evaluation indexes so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

the evaluation index comprises a flexibility index for quickly adjusting whether the network structure can respond to different demands, an economical index for judging whether communication and maintenance costs are too high, and an offensiveness index for resisting the killing and defending capability of enemy.

Another embodiment of the present invention also provides an electronic device, including:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to implement an air defense system coordination method for a heterogeneous network as described in any of the embodiments above.

The invention has the beneficial effects that a plurality of cooperative rules for rapidly forming the air defense anti-conduction cooperative network for cooperative operation are provided, the investigation, striking and other operational capabilities of the network are improved, and an evaluation system is provided for objectively and comprehensively evaluating the formed plurality of air defense anti-conduction cooperative networks.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

The technical scheme of the invention is further described in detail through the drawings and the embodiments.

Drawings

FIG. 1 is a flow chart of an air defense system cooperative method of a heterogeneous network according to the present invention.

Fig. 2 is a schematic structural diagram of an air defense reverse conduction cooperative network under different cooperative rules of the present invention.

FIG. 3 is a schematic diagram of an air defense reverse conducting collaborative network evaluation index architecture according to the present invention.

Fig. 4 is a visual distribution diagram of different types of equipment in an embodiment of the invention.

FIG. 5 is a graph showing index value distribution of different cooperative networks according to the present invention.

Fig. 6 is a graph of proximity curves for different coordinated networks of the present invention.

Fig. 7 is a block diagram of a cooperative apparatus of an air defense system of a heterogeneous network according to the present invention.

Detailed Description

Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings, but not limiting the invention.

It should be understood that various modifications may be made to the embodiments disclosed herein. Therefore, the following description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of this disclosure will occur to persons of ordinary skill in the art.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.

These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.

It is also to be understood that, although the invention has been described with reference to some specific examples, a person skilled in the art will certainly be able to achieve many other equivalent forms of the invention, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.

The above and other aspects, features and advantages of the present disclosure will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.

Specific embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely examples of the disclosure, which may be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the disclosure in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely serve as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.

The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The embodiment of the invention provides an air defense and anti-conductor system cooperative method of a heterogeneous network, wherein the heterogeneous network comprises nodes formed by different types of equipment and connected edges representing interaction relations among different nodes, for example, the expression of the heterogeneous network is G= (V, E) as an example, wherein V and E are respectively a set of nodes and edges. Each edge in E represents the interaction relationship of a pair of nodes in V; if the number of types of node V in the network |V _type |>1 or type number of edge E _type |>1, the network is a heterogeneous network. In the air defense system, according to the function of each device in the battle, the devices in the air defense system can be divided into four categories of investigation equipment (S), decision-making equipment (D) serving as a command center, striking equipment (A) and target equipment (T), namely, the different categories of equipment respectively comprise investigation equipment, decision-making equipment, striking equipment and target equipment to be attacked. For edges, representing the relationship between the substance and the information, the connecting edges between different nodes have different meanings, such as T-S The detection side, S-S represents the detection cooperative side, S-D represents the information uploading side, D-A represents the decision side, A-T represents the striking side, and A-A represents the striking cooperative side. According to the definition of the edge, cooperative modes of the same type of equipment can appear in actual combat, such as cooperative S->S and decision making equipment cooperated with D->D and striking device cooperate with A->A, etc., but in practical application, the cooperation of the investigation equipment and the striking equipment has a great influence on the combat.

Further, as shown in fig. 1, the method in this embodiment includes:

s101: selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the hit equipment;

s102: forming a plurality of air defense reverse conduction cooperative networks based on cooperative equipment and other types of equipment with different categories of the cooperative equipment, wherein the air defense reverse conduction cooperative networks comprise investigation equipment, decision-making equipment, hitting equipment and target equipment;

s103: evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

the evaluation indexes comprise flexibility indexes about whether the network structure can respond to different requirements or not, economical indexes about whether communication and maintenance costs are too high or not, and offensiveness indexes about the magnitude of killing and defending ability of enemy.

The collaboration rule proposed by the method of the embodiment includes a plurality of collaboration rules, so as to be used for selecting different collaboration equipment under different scenes, and provide convenience for each combat node. Based on the collaboration rules, various devices can quickly form an air defense anti-pilot collaboration network for collaborative combat, and combat capabilities of the network, such as investigation, combat and the like, are improved. In addition, the method of the embodiment also provides an evaluation system for objectively and comprehensively evaluating the formed multiple air defense anti-conduction collaborative networks, the evaluation system fully considers the attribute characteristics of various equipment in the air defense anti-conduction system and the association relation among the equipment, further can more accurately determine the target air defense anti-conduction collaborative network with optimal synergistic effect, provides powerful support for air defense anti-conduction collaborative modeling and evaluation under informatization conditions, and also provides high-value reference data for practical application of air defense anti-conduction.

Specifically, in the anti-air anti-system network, after the investigation nodes (investigation equipment) detect the enemy target information, the enemy information is transmitted to the investigation nodes so as to realize investigation cooperation S- > S. Also, after the hit nodes (hit class equipment) receive the decision node information, the information should be transmitted to which hit nodes to realize hit cooperation A- > A, which is very important for combat. Therefore, the embodiment provides a collaboration rule, so that the nodes can implement equipment collaboration by combining the collaboration rule.

For example, selecting cooperative equipment based on cooperative rules at least in the investigation-class equipment, the striking-class equipment, includes:

s104: at least obtaining position information, capability values and hidden values of investigation equipment and striking equipment, wherein the capability values represent the capability of the equipment to execute the self functions, and the hidden values represent the probability of the target equipment to find the equipment;

s105: the cooperative equipment is selected based on the location information, the capability value, the concealment value, and the cooperative rules at least in the investigation-class equipment and the hit-class equipment.

Further, the collaboration rule proposed in this embodiment includes:

selecting a first coordination rule which satisfies a first threshold value with the distance of the equipment and is coordinated with the equipment in the same class with the equipment based on the distance information, namely, a coordination rule based on the distance;

selecting a second coordination rule, i.e., a coordination rule based on the capability, in which the capability value satisfies a second threshold and the equipment of the same class as the own equipment is coordinated;

selecting a third cooperation rule, namely a cooperation rule based on concealment, that the concealment value meets a third threshold value and cooperates with equipment of the same class as the equipment of the user equipment based on the concealment value;

a fourth coordination rule, i.e., a random coordination rule, that coordinates with equipment of the same class as the own equipment is randomly selected.

For example, to accommodate battlefield mission requirements, various types of equipment may be deployed in different locations. When the investigation node detects enemy information or the hit node receives information of the decision node, the first k nodes of the same type closest to the investigation node or the hit node can be selected based on the first collaboration rule to carry out investigation collaboration or hit collaboration, so that collaborative communication time delay is shortened, and accordingly combat time of the whole air defense anti-reflection system is shortened, specifically, as shown in fig. 2 (a), the number of the collaborative nodes in the figure is k, in this embodiment, k=2, and the following is the same. Assume that the geographical position coordinates of node i and node j are (x _i ,y _i ) And (x) _j ,y _i ) Distance d between nodes _ij The Euclidean distance can be used to represent:

for another example, in an air defense system, different nodes have different capability attributes, i.e., capability values. Selecting a node with strong investigation capability for investigation collaboration will increase the investigation capability for enemy. Also, selecting nodes with strong striking power for striking synergy may increase the ability to kill enemies. Therefore, based on the capability coordination rule, the equipment to be coordinated can select the first k nodes of the same type with the maximum capability value to perform investigation coordination or attack coordination. As shown in fig. 2 (b), the S2 and S3 nodes are the first two nodes with the highest detectability, so that other detective nodes will select these two nodes for the detective coordination. Similarly, the A2 and A5 nodes with strong striking capability are selected to perform striking cooperation.

For another example, the hidden value of each node may also be considered and the cooperative equipment selected based on the hidden value when performing the investigation cooperation or the hit cooperation. The hidden value of a node characterizes the probability that an adversary's target finds the node. The larger the hidden value of a node, the less likely the adversary target will find the node. Therefore, in the anti-air defense system, the equipment can select the first k investigation nodes or hit nodes with the largest hidden values to cooperate, so that the whole anti-air defense system can better avoid the discovery and damage of enemies. As shown in fig. 2 (c), the S3 and S5 nodes are the first two nodes with the greatest concealment values, so that other scout nodes will select these two nodes for scout cooperation. Similarly, the A3 and A5 nodes with strong striking capability are selected to perform striking cooperation. The implementation of the cooperative rule based on the hidden value can effectively improve the survivability and the fight capacity of the whole air defense missile system.

Alternatively, as shown in fig. 2 (d), an anti-air-defense reverse-conduction cooperative network may be formed by adopting a manner of randomly selecting nodes in the network to perform investigation cooperation or attack cooperation.

Further, as shown in fig. 3, different air defense and reflection conductor system cooperative networks can be constructed based on different cooperative rules, and if the advantages and disadvantages of the cooperative networks are measured, a reasonable and comprehensive evaluation index system needs to be constructed. The establishment of an air defense reverse-conduction cooperative network evaluation index system is required to follow the principles of scientificity, integrity, feasibility and the like. Accordingly, the present embodiment proposes an evaluation system, which is constructed from three dimensions of economy, flexibility and offensiveness, that is, three different evaluation indexes about economy, flexibility and offensiveness are established for evaluating different collaborative networks, and the overall structure of the evaluation system of the present embodiment may be shown in fig. 3.

Firstly, for economic evaluation index, the economic index is simply called as economic index, which is measured based on the connection cost generated by communication transmission between different nodes in the anti-air defense anti-pilot cooperative network and the maintenance cost of different nodes, the connection cost between nodes under different cooperative rules is different, the generated cost is different, and furthermore, the number of times of processing information by each node in the network is different, so that the maintenance cost of different nodes is also different. For example, the borderline cost C _edge The method comprises the following steps:

node maintenance cost C _node The method comprises the following steps:

wherein c ₁ Representing the costs of the edge connection, Σd, generated by the communication transmission per unit distance between the nodes _ij x _ij Representing the sum of the edge lengths present in the network c ₂ Representing the maintenance cost of each node, which is proportional to the number of times the node processes the information.

Secondly, the flexibility of the cooperative network means that the network can quickly and conveniently adjust the network structure of the network to realize adaptive combat when coping with different combat environments and task demands. The speed of constructing the cooperative network mainly depends on the time consumed by cooperative communication, so that the flexibility of the cooperative network can be measured by cooperative communication delay. The cooperative communication delay may be measured in terms of the average path length between the scout nodes or the hit nodes. The larger the average path length, the longer the time it takes to coordinate between nodes, and the worse the synergistic effect. The cooperative communication delay T is defined as follows, where k is the number of scout nodes and hit nodes in the air defense reverse conducting network, and S and a represent the scout nodes and hit nodes in the network, respectively:

In addition, when the investigation node or the hit node acquires the enemy information, if the information is shared into more nodes, the collaborative network structure can be more suitable for complex and changeable battlefield environments, and the situation that the information is lost after the enemy is destroyed when the information is gathered at a certain node is avoided. Thus, the flexibility of the collaborative network can also be measured by the information sharing range in this embodiment. The information sharing range I is defined as follows:

wherein I represents the information sharing range, in deg ree _i Indicating corresponding investigation equipment in air defense reverse-conduction cooperative networkOr the information receiving amount of the node of the hit class equipment, namely the incoming degree, count { in deg. re _i And the number of nodes with the information receiving quantity larger than 0 is represented by more than 0, k represents the number of detection nodes and hit nodes in the anti-air traffic control cooperative network, S represents detection equipment, and A represents hit equipment. The more information flows to the forensic node or the hit node, and the more forensic nodes or hit nodes the more information is acquired, the greater the information sharing range.

For the attack and defense indexes, the cooperative network used for judging the structure has the capability of killing enemy and defending the enemy from striking.

Specifically, when the enemy target appears, the air defense anti-conductor system needs to pass through three stages of a investigation stage, a decision stage and a striking stage to form a complete killing effect on the enemy, so that the killing capacity depends on the capacity value of the node selected in each stage. The ability of the investigation phase may be represented by the ability of the investigation node in the network, and the same decision phase and the hit phase may be represented by the ability of the decision node and the hit node in the network, respectively. Killing power Q is defined as follows:

count{deg ree _(ij) the number of nodes which are greater than 0 and are once involved in the combat at the ith stage in the combat process is represented by the number of more than 0 _(ij) Representing the number of times the jth node of the ith stage has participated in the combat of the ith stage, capability _(ij) Representing the capability value of the j-th node of the i-th stage.

Defenses take into account mainly two aspects: the hidden value of the node in the network participating in the battle is selected, and the node with the large hidden value in the network participates in the battle, so that the node is not easily found by enemies in a battle field, and the probability of being hit by the enemies is reduced; and secondly, the anti-empty reverse conduction cooperative network is resistant to destruction. The survivability of the network refers to the capability of the weapon equipment to keep playing the function of the weapon equipment under the condition of encountering an adversary attack, and the survivability of the network can be measured by the number of killing chains because the air defense anti-conduction cooperative network constructed by the embodiment is a heterogeneous network.

In an air defense system network, a killing chain represents a complete combat path of a series of activities from investigation of an enemy target to fire fight of the enemy target, and thus the killing chain can be described as a link formed for the enemy target consisting of a part of specific functional nodes and edges. For the English codes of the above nodes, T- & gt S- & gt D- & gt A- & gt T represents a typical killing chain, T- & gt S- & gt D- & gt A- & gt T represents a killing chain with investigation cooperation, T- & gt S- & gt D- & gt A- & gt T represents a killing chain with striking cooperation, and T- & gt S- & gt D- & gt A- & lt T represents a killing chain with investigation cooperation and striking cooperation. Thus, the defenses of each cooperative network S are:

cc _i representing the hidden value of node i, n _chain Indicating the number of kill chains in the network.

Further, in this embodiment, when evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine the target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement, the method includes:

s106: forming an evaluation strategy by a comprehensive analytic hierarchy process and an ideal solution;

s107: based on the evaluation index, each index value of each air defense anti-pilot cooperative network is respectively determined, wherein the index value is each finger

y’ _ij ＝max(y _j )-y _ij The standard measurement parameters comprise one or more of communication delay, information sharing range, edge connection cost, node maintenance cost, killing capacity and defensive capacity;

S108: and evaluating the plurality of air defense reverse conducting cooperative networks based on the index values and the evaluation strategies so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement.

The Analytic Hierarchy Process (AHP) is a multi-objective decision analysis method, which decomposes a decision problem into a plurality of layers to construct a layered structure model, compares and judges the relative importance among the layer factors by using the obtained outside, further determines the weight of each layer factor, and finally obtains the comprehensive score of the scheme. The TOPSIS method is a comprehensive evaluation method close to an ideal method. The method comprises the steps of firstly carrying out standardization treatment on evaluation indexes, then finding out optimal and worst schemes in all schemes, and measuring the distance and the proximity of each scheme and two ideal schemes in space positions to obtain the score of each scheme, wherein the scheme with higher score is more optimal. The evaluation index system of the anti-air traffic control cooperative network has positive and negative evaluation indexes, namely positive indexes are better as the attack capability is larger; the smaller the linking cost is, the better the linking cost is, the negative indexes are, and the indexes are different in evaluation dimension of the air defense reverse conduction cooperative network, so that in order to cope with the evaluation problem of the embodiment, the evaluation strategy of the embodiment is formed by a comprehensive analytic hierarchy process and an ideal solution process, namely, the two methods are fused.

Specifically, based on the index value and the evaluation policy, evaluating the plurality of air defense reverse conducting cooperative networks to determine a target air defense reverse conducting cooperative network with a cooperative effect meeting the requirement, including:

s109: and calculating and determining the normalized weight w corresponding to each index value based on an analytic hierarchy process, for example, for an anti-air defense anti-pilot collaborative network evaluation index system, firstly determining the importance of the index and assigning the value to form a judgment matrix, then calculating the maximum characteristic root lambda max of the matrix, judging whether the maximum characteristic root lambda max accords with consistency test, and obtaining the normalized weight w corresponding to each index value if the maximum characteristic root lambda max passes the test.

S110: constructing an index value matrix y= (Y) _ij ) _n×m N is the number of the air defense reverse conduction cooperative networks, m is the number of the evaluation indexes, y _ij A j index value of the cooperative network is the i anti-empty reverse guide;

s111: carrying out positive treatment on the index value matrix based on the approach to an ideal solution, so that indexes representing negative directions and corresponding index values are positively treated: y '= (Y' _ij ) _m×n ，y _j Represents the j-th index value, y _i ' _j The j index value of the i anti-air-defense reverse-conduction cooperative network after forward is represented by Y';

s112: normalizing the index value matrix after forward normalization based on the approach to an ideal solution to obtain a normalized index value matrix X: X＝(x _ij ) _m×n ，x _ij The index value is the j index value of the standardized i anti-air-defense reverse-conduction cooperative network;

s113: multiplying the normalized index value matrix by the normalized weight of each index value to obtain a weighted normalized index matrix:

s114: calculating the index matrix based on the approach to the ideal solution to obtain a positive ideal solution p ⁺ And negative ideal solution p ^- Wherein the positive ideal solution is the maximum value of the column vector of the index matrix, the negative ideal solution is the minimum value of the column vector of the index matrix, and T is the transpose sign of the matrix:

s101: the Euclidean distance is adopted to calculate the distance between each air defense and reverse conduction cooperative network and the positive ideal solution and the negative ideal solution respectively:

representing the positive ideal of the j-th index matrix,/->Negative ideal solution of j index matrix, p _ij Representing each element in the index matrix;

s115: calculating the proximity of each air defense anti-pilot cooperative network to negative ideal solution based on distanceAnd determining a target air defense reverse conducting cooperative network from the air defense reverse conducting cooperative networks based on the proximity, wherein the comprehensive evaluation result of the cooperative network is optimal if the proximity is smaller.

In order to better describe and confirm the effects of the method of the present embodiment, the following is described in connection with specific examples:

For example, assume that a battlefield space is set in an area of 200×200×50 (km). In this case, the anti-empty counterguide has 23 investigation equipment, 1 decision-making equipment and 20 striking equipment; there are 3 targets of attack by the adversary. Knowing the deployment location and equipment capabilities and concealment values of my equipment, the number of targets of enemy attack and the location situation, the distribution of the pieces of equipment is shown in fig. 4, where the graphic size of each piece of equipment is proportional to its own capability value.

According to the above method for calculating the index value, the index value k of the air defense anti-pilot cooperative network in four cooperative modes can be obtained, as shown in fig. 5. The result shows that no matter which collaboration mode is selected, as the collaboration number is increased, the index value in the network becomes larger, the edge cost and the node maintenance cost are increased, the collaboration communication time delay is also prolonged, but the information sharing range in the network is enlarged, and the killing capability and the defending capability are also continuously improved. Moreover, the network index effect generated under different cooperative modes is analyzed, so that the cooperative communication time delay under the cooperative network based on the distance is optimal, but the effect is common in the aspects of node maintenance cost, killing capacity and the like; the killing capacity is optimal under the cooperative network based on the capacity, the node maintenance cost is low, but the effect is poor in the aspects of cooperative communication time delay, information sharing range and the like; the defensive capability under the cooperative network based on the hidden value is optimal, the node maintenance cost is low, but the effect is poor in the aspects of cooperative communication delay, information sharing range and the like; the random cooperative network has less ideal effect except better information sharing range. In general, the index value results conform to the actual combat situation in the past, and the scientificity and rationality of the index calculation method in this embodiment are explained. However, from the four collaborative network index value results, it is difficult to distinguish the advantages and disadvantages of the network in each collaborative mode from the index values alone, so that the collaborative network is comprehensively evaluated by adopting the evaluation method of the embodiment. Firstly, calculating index value weight, scoring importance of each index from historical data of related fields or domain expert scholars, taking average value of scoring results, constructing a judgment matrix, simultaneously calculating consistency ratio CR= -3.8e-06<0.1 of the judgment matrix, and through consistency test, calculating weight w= [0.2,0.23,0.57] of each first-level index relative to an air defense anti-conduction collaborative network, similarly calculating weight w= [0.02,0.04,0.07,0.14,0.37,0.36] of each second-level index relative to the first-level index, and synthesizing the first-level index and the second-level index weight, thereby obtaining weight w= [0.02,0.04,0.07,0.14,0.37,0.36] of 6 evaluation indexes relative to the air defense anti-conduction collaborative network. Based on the index values and the index weights, the proximity values in the four cooperative network modes can be calculated, as shown in fig. 6.

From the analysis of the calculation results, the information sharing range of the capability-based cooperative network is the worst among the four cooperative networks, the cooperative time is relatively high (the flexibility is poor), the edge cost is not optimal (the economy is general), and the network has the optimal killing capability, but is still the optimal cooperative network. Indicating that killing power is the most critical indicator affecting overall synergistic network performance, the indicator weights also support this conclusion. The edge cost and node maintenance cost of the distance-based collaborative network are the greatest, indicating that the network is the worst in economy, and in addition, the killing and hit capabilities of the network are the lowest, indicating that the network is the worst in offensiveness. Although the information sharing range is optimal, the network synergistic effect is worst under an evaluation system with offensiveness as the most critical evaluation index. With the increase of the cooperative number in the network, although the index value in the network is continuously changed, the evaluation result based on the comprehensive evaluation method provided by the embodiment basically keeps unchanged, and still the cooperative effect based on the capability is optimal, the random cooperative effect is worst, and the cooperative effect based on the hidden value and the distance is between the two. Therefore, the ability-based cooperative mode should be preferentially selected to strike the enemy in the air defense reaction line combat.

As shown in fig. 7, another embodiment of the present invention provides an air defense and anti-conductor system cooperative apparatus 100 of a heterogeneous network, the heterogeneous network including nodes formed by different types of equipment and connected edges characterizing interaction relationships between the different nodes, the different types of equipment including investigation equipment, decision equipment, attack equipment and target equipment to be attacked, the apparatus comprising:

the selection module is used for selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the striking equipment;

the forming module is used for forming a plurality of air defense reverse conduction cooperative networks according to cooperative equipment and other equipment with different categories from the cooperative equipment, wherein the air defense reverse conduction cooperative networks comprise investigation equipment, decision-making equipment, hitting equipment and target equipment;

the evaluation module is used for evaluating the plurality of air defense reverse conducting cooperative networks according to the evaluation indexes so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

the evaluation index comprises a flexibility index for quickly adjusting whether the network structure can respond to different demands, an economical index for judging whether communication and maintenance costs are too high, and an offensiveness index for resisting the killing and defending capability of enemy.

As an optional embodiment, the selecting cooperative equipment based on a cooperative rule at least in the investigation equipment and the striking equipment includes:

at least obtaining position information, capability values and hidden values of the investigation equipment and the striking equipment, wherein the capability values represent the capability of the self equipment to execute the self function, and the hidden values represent the probability of the target equipment to find the equipment;

and selecting cooperative equipment at least in the investigation equipment and the striking equipment based on the position information, the capability value, the hidden value and the cooperative rule.

As an alternative embodiment, the collaboration rule includes:

selecting a first coordination rule that a distance from the own equipment satisfies a first threshold value and cooperates with equipment of the same class as the own equipment based on the distance information;

selecting a second coordination rule that the capability value satisfies a second threshold value based on the capability value and that coordinates with equipment of the same class as the own equipment;

selecting a third cooperation rule that the concealment value satisfies a third threshold value and cooperates with equipment of the same class as the own equipment based on the concealment value;

a fourth coordination rule is randomly selected to coordinate with equipment of the same class as the own equipment.

As an optional embodiment, the flexibility index is measured based on a communication delay between the cooperative devices and an information sharing range in the air defense and reverse conduction cooperative network, where the communication delay is proportional to an average path length between the cooperative devices, and the information sharing range refers to the number of nodes that information in the air defense and reverse conduction cooperative network propagates through:

wherein I represents an information sharing range, index _i Information receiving quantity representing node of corresponding investigation equipment or hit equipment in air defense reverse conducting cooperative network _i And the number of the nodes with the information receiving quantity larger than 0 is represented by more than 0, k represents the number of the investigation nodes and the hit nodes in the anti-empty reverse-conduction cooperative network, S represents investigation equipment, and A represents hit equipment.

As an optional embodiment, the economic index is based on the connection cost generated by communication transmission between different nodes in the air defense reverse conduction cooperative network and the maintenance cost of the different nodesBy measurement, the borderline cost C _edge The method comprises the following steps:

the node maintenance cost C _node The method comprises the following steps:

wherein c ₁ Representing the edge cost, sigma d, generated by communication transmission per unit distance between the nodes _ij x _ij Representing the sum of the edge lengths present in the network c ₂ Representing the maintenance cost of each node, wherein the maintenance cost of each node is proportional to the number of times the node processes information.

As an optional embodiment, the attack and defense indexes measure the killing capability based on the capability values of nodes selected by the defended air-defense cooperative network in different combat stages, and measure the defending capability based on the hidden values of the nodes participating in combat and the number of killing chains in the network, wherein the killing chains represent complete combat paths from investigation equipment to investigation equipment of target class to combat equipment of target class;

wherein, the killing capacity Q is:

the defensive power S is as follows:

count{deg ree _(ij) the number of nodes which are greater than 0 and are once involved in the combat at the ith stage in the combat process is represented by the number of more than 0 _(ij) Representing the number of times the jth node of the ith stage has participated in the combat of the stage，capability _(ij) A capability value representing a j-th node of the i-th phase; cc (cc) _i Representing the hidden value of node i, n _chain Indicating the number of kill chains in the network.

As an optional embodiment, the evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with a cooperative effect meeting the requirement includes:

Forming an evaluation strategy by a comprehensive analytic hierarchy process and an ideal solution;

each index value of each air defense reverse conducting cooperative network is respectively determined based on the evaluation index, wherein the index value is a measurement parameter of each index and comprises one or more of communication delay, information sharing range, continuous edge cost, node maintenance cost, killing capacity and defensive capacity;

and evaluating the plurality of air defense reverse conducting cooperative networks based on the index values and the evaluation strategies so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement.

As an optional embodiment, the evaluating the plurality of air defense reverse conducting cooperative networks based on the index value and the evaluation policy to determine a target air defense reverse conducting cooperative network with a cooperative effect meeting a requirement includes:

calculating and determining normalized weights corresponding to the index values based on the analytic hierarchy process;

constructing an index value matrix;

carrying out forward processing on the index value matrix based on the approach to ideal solution, so that indexes representing negative directions and corresponding index values are forward processed;

normalizing the normalized index value matrix based on the approach to ideal solution to obtain a normalized index value matrix;

Multiplying the normalized index value matrix by the normalized weight of each index value to obtain a weighted normalized index matrix;

calculating the index matrix based on the approach ideal solution to obtain a positive ideal solution and a negative ideal solution, wherein the positive ideal solution is the maximum value of the column vector of the index matrix, and the negative ideal solution is the minimum value of the column vector of the index matrix:

calculating the distance between each air defense reverse conduction cooperative network and a positive ideal solution and a negative ideal solution respectively by adopting Euclidean distance;

calculating the proximity of each air defense anti-pilot cooperative network to a positive ideal solution or a negative ideal solution based on the distance;

and determining a target air defense reverse conducting cooperative network from the plurality of air defense reverse conducting cooperative networks based on the proximity.

Another embodiment of the present invention also provides an electronic device, including:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to implement an air defense system coordination method for a heterogeneous network as described in any of the embodiments above.

Further, an embodiment of the present invention also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements an air defense system coordination method of a heterogeneous network as described above. It should be understood that each solution in this embodiment has a corresponding technical effect in the foregoing method embodiment, which is not described herein.

Further, embodiments of the present invention also provide a computer program product tangibly stored on a computer-readable medium and comprising computer-readable instructions that, when executed, cause at least one processor to perform an air defense system coordination method for a heterogeneous network such as in the embodiments described above.

Additionally, it should be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. An air defense and reflection conductor system cooperative method of a heterogeneous network, the heterogeneous network comprises nodes formed by different types of equipment and connecting edges for representing interaction relations among the different nodes, the different types of equipment comprise investigation equipment, decision equipment, striking equipment and target equipment to be attacked, the method is characterized by comprising the following steps:

selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the hit equipment;

Forming a plurality of air defense anti-pilot cooperative networks based on cooperative equipment and other equipment with different categories from the cooperative equipment, wherein the air defense anti-pilot cooperative networks comprise investigation equipment, decision equipment, hitting equipment and target equipment;

evaluating the plurality of air defense reverse conducting cooperative networks based on the evaluation index to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

the evaluation index comprises a flexibility index for quickly adjusting whether the network structure can respond to different demands, an economical index for judging whether communication and maintenance costs are too high, and an offensiveness index for resisting the killing and defending capability of enemy.

2. An air defense system cooperative method of a heterogeneous network according to claim 1, wherein the selecting cooperative equipment based on cooperative rules at least in the investigation equipment, the hit equipment comprises:

at least obtaining position information, capability values and hidden values of the investigation equipment and the striking equipment, wherein the capability values represent the capability of the self equipment to execute the self function, and the hidden values represent the probability of the target equipment to find the equipment;

And selecting cooperative equipment at least in the investigation equipment and the striking equipment based on the position information, the capability value, the hidden value and the cooperative rule.

3. The air defense system coordination method of the heterogeneous network according to claim 2, wherein the coordination rule comprises:

selecting a first coordination rule that a distance from the own equipment satisfies a first threshold value and cooperates with equipment of the same class as the own equipment based on the distance information;

selecting a second coordination rule that the capability value satisfies a second threshold value based on the capability value and that coordinates with equipment of the same class as the own equipment;

selecting a third cooperation rule that the concealment value satisfies a third threshold value and cooperates with equipment of the same class as the own equipment based on the concealment value;

a fourth coordination rule is randomly selected to coordinate with equipment of the same class as the own equipment.

4. The air defense system cooperative method of heterogeneous network according to claim 2, wherein the flexibility index is measured based on a communication delay between the cooperative equipments and an information sharing range in an air defense cooperative network, the communication delay is proportional to an average path length between the cooperative equipments, and the information sharing range refers to a number of nodes of information propagation experience in the air defense cooperative network:

Wherein I represents an information sharing range, index _i Information receiving quantity representing node of corresponding investigation equipment or hit equipment in air defense reverse conducting cooperative network _i And the number of the nodes with the information receiving quantity larger than 0 is represented by more than 0, k represents the number of the investigation nodes and the hit nodes in the anti-empty reverse-conduction cooperative network, S represents investigation equipment, and A represents hit equipment.

5. According to claimThe air defense and reverse conductor system cooperative method of the heterogeneous network as set forth in claim 4, wherein the economic index is measured based on a connection cost and a maintenance cost of different nodes generated by communication transmission among different nodes in the air defense and reverse conductor cooperative network, the connection cost C _edge The method comprises the following steps:

C _edge ＝c ₁ ∑d _ij x _ij

the node maintenance cost C _node The method comprises the following steps:

C _node ＝c ₂ ∑x _i

wherein c ₁ Representing the edge cost, sigma d, generated by communication transmission per unit distance between the nodes _ij x _ij Representing the sum of the edge lengths present in the network c ₂ Representing the maintenance cost of each node, wherein the maintenance cost of each node is proportional to the number of times the node processes information.

6. The method according to claim 5, wherein the attack and defense index measures the killing ability based on the ability value of the node selected by the defended air defense cooperative network in different combat phases, and measures the defending ability based on the hidden value of the node participating in combat and the number of killing chains in the network, the killing chains representing the complete combat path from the investigation equipment to the target equipment to the combat equipment for combat the target equipment;

Wherein, the killing capacity Q is:

the defensive power S is as follows:

count{degree _(ij) the number of nodes greater than 0 in the ith stage of the fight process _(ij) Representing the number of times the jth node of the ith stage has participated in the combat of the ith stage, capability _(ij) A capability value representing a j-th node of the i-th phase; cc (cc) _i Representing the hidden value of node i, n _chain Indicating the number of kill chains in the network.

7. The air defense system coordination method of heterogeneous network according to claim 6, wherein the evaluating the plurality of air defense system coordination networks based on the evaluation index to determine a target air defense system coordination network with a coordination effect meeting the requirement comprises:

forming an evaluation strategy by a comprehensive analytic hierarchy process and an ideal solution;

each index value of each air defense reverse conducting cooperative network is respectively determined based on the evaluation index, wherein the index value is a measurement parameter of each index and comprises one or more of communication delay, information sharing range, continuous edge cost, node maintenance cost, killing capacity and defensive capacity;

and evaluating the plurality of air defense reverse conducting cooperative networks based on the index values and the evaluation strategies so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement.

8. The cooperative method of air defense and reverse conductor systems of heterogeneous networks according to claim 7, wherein evaluating the plurality of air defense and reverse conductor cooperative networks based on the index value and the evaluation policy to determine a target air defense and reverse conductor cooperative network with a cooperative effect meeting a requirement comprises:

calculating and determining normalized weights corresponding to the index values based on the analytic hierarchy process;

constructing an index value matrix;

carrying out forward processing on the index value matrix based on the approach to ideal solution, so that indexes representing negative directions and corresponding index values are forward processed;

normalizing the normalized index value matrix based on the approach to ideal solution to obtain a normalized index value matrix;

multiplying the normalized index value matrix by the normalized weight of each index value to obtain a weighted normalized index matrix;

calculating the index matrix based on the approach ideal solution to obtain a positive ideal solution and a negative ideal solution, wherein the positive ideal solution is the maximum value of the column vector of the index matrix, and the negative ideal solution is the minimum value of the column vector of the index matrix:

calculating the distance between each air defense reverse conduction cooperative network and a positive ideal solution and a negative ideal solution respectively by adopting Euclidean distance;

Calculating the proximity of each air defense anti-pilot cooperative network to a positive ideal solution or a negative ideal solution based on the distance;

and determining a target air defense reverse conducting cooperative network from the plurality of air defense reverse conducting cooperative networks based on the proximity.

9. An air defense and reflection conductor system cooperative device of a heterogeneous network, the heterogeneous network comprising nodes formed by different kinds of equipment and connected edges representing interaction relations among the different nodes, the different kinds of equipment comprising investigation equipment, decision equipment, striking equipment and target equipment to be attacked, the device comprising:

the selection module is used for selecting cooperative equipment based on cooperative rules at least in the investigation equipment and the striking equipment;

the forming module is used for forming a plurality of air defense reverse conduction cooperative networks according to cooperative equipment and other equipment with different categories from the cooperative equipment, wherein the air defense reverse conduction cooperative networks comprise investigation equipment, decision-making equipment, hitting equipment and target equipment;

the evaluation module is used for evaluating the plurality of air defense reverse conducting cooperative networks according to the evaluation indexes so as to determine a target air defense reverse conducting cooperative network with the cooperative effect meeting the requirement;

The evaluation index comprises a flexibility index for quickly adjusting whether the network structure can respond to different demands, an economical index for judging whether communication and maintenance costs are too high, and an offensiveness index for resisting the killing and defending capability of enemy.

10. An electronic device, comprising:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to implement the air defense system coordination method of the heterogeneous network of any of claims 1-8.