CN111490848A - Electronic countermeasure reconnaissance system architecture based on heterogeneous cognitive sensor network - Google Patents
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Abstract
The invention discloses an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensor network, distributed software defines reconfigurable electronic reconnaissance equipment to sense threats of a complex electromagnetic environment, a threat signal feature extraction module extracts and models features of target signals, a target state and behavior feature identification module identifies target states and target electromagnetic behavior features, a threat signal sorting module sorts threat signals according to known threats, unidentified threats and networking threats, a threat autonomous identification module identifies and judges threat grades of known threats based on a knowledge base, an electronic countermeasure reconnaissance cognitive engine identifies and infers unidentified threats and networking threats based on an inference engine to generate electronic countermeasure reconnaissance intelligence, a backbone node reconnaissance resource dynamic management module dynamically reconfigures and optimizes and schedules function parameters of sensing nodes, the threat perception and identification capability of the electronic counterscouting system and the utilization efficiency of scouting resources are improved.
Description
Technical Field
The invention belongs to the technical field of electronic countermeasures, particularly relates to the technical field of cognitive electronic warfare, and particularly relates to an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensor network.
Background
With the rapid development of technologies such as software radio, cognitive radio, heterogeneous cognitive network, etc. and the continuous application in the field of electronic countermeasure, the cognitive electronic warfare has become one of the most important development trends in the field of electronic countermeasure. Electronic countermeasure reconnaissance is a precondition and an important support for effectively implementing electronic warfare, and an electronic warfare system needs to complete tasks of intercepting, sorting and threat identification of target signals, passive positioning of threat targets and the like in a complex electromagnetic environment. In recent years, technologies such as radar and communication systems for resisting interference and low interception are rapidly developed, self-adaptive electronic information systems with cognitive ability are continuously emerged and deployed, the intelligent degree of resisting targets is higher and higher, and the electromagnetic environment of a battlefield is more complex. In the process of resisting the traditional electronic warfare system which faces different scenes, is deployed on different platforms and resists different targets with an electronic information system such as an adaptive radar and a communication system with highly agile signal characteristics, the defects of environment cognitive ability and task adaptive processing ability are more obvious, especially effective perception and online identification of unknown threats become huge challenges, and the threat perception ability and the electronic countermeasure reconnaissance efficiency of the electronic warfare system are severely restricted. How to intelligently sense and autonomously identify threat targets and surrounding environment signals based on equipment cognitive ability and fully utilize heterogeneous dynamic management of reconnaissance resources of a sensor network formed by each reconnaissance system so as to effectively sense the threat targets such as advanced self-adaptive electronic information systems and the like in a complex electromagnetic environment becomes a problem to be solved urgently in electronic countermeasure reconnaissance at present.
Disclosure of Invention
The invention aims to solve the problems and provides an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensor network.
The technical scheme of the invention is as follows:
the heterogeneous cognitive sensor network facing electronic countermeasure reconnaissance comprises backbone nodes and sensing nodes, wherein the backbone nodes have higher signal sensing capability and cognitive capability than the sensing nodes, and also have reconnaissance resource dynamic management capability and can manage and schedule corresponding sensing nodes; backbone nodes form a core network, sensing nodes form an access network and are accessed to the core network through the backbone nodes; the nodes are connected and interacted with information through an Ethernet bus; the nodes realize information interaction through a data link, a short wave, an ultrashort wave and a satellite communication link; obvious network heterogeneity is provided among the access networks and between the access networks and the core network; the sensing node has four access states of active access in the sub-network, passive access in the sub-network, active access between networks and passive access between networks, and carries out networking link establishment and network initialization of the heterogeneous cognitive sensing network based on electronic countermeasure scouting task driving.
The electronic countermeasure reconnaissance system architecture based on the heterogeneous cognitive sensor network comprises: the system comprises distributed software-defined reconfigurable electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic countermeasure reconnaissance information processing functional entity, an electronic countermeasure reconnaissance cognitive engine, a cognitive engine middleware and a reconnaissance resource dynamic management module;
the interface and information interaction of the electronic countermeasure reconnaissance system architecture comprises three levels of node interior, subnet interior and whole network, wherein the node interior adopts a secondary Ethernet bus to connect all electronic equipment together, and all functional subsystems are directly hung on the primary Ethernet bus; a second-level Ethernet bus is hung below the transmission control equipment and manages short-wave and ultra-short-wave radio stations and data link equipment; the sensing nodes executing the same reconnaissance task form an access network subnet, and each access network subnet adopts an internal unified communication system and an information convention format to carry out in-network information interaction; backbone nodes form a core network, and information interaction is carried out by adopting a communication system shared by the whole network and an information convention format; the information interaction interface between the node and the satellite system is realized by adopting a special satellite communication link and an information format; the reconnaissance equipment control middleware is a software control interface for the distributed reconnaissance equipment, so that the electronic countermeasure reconnaissance system does not depend on the platform type and specific deployment details of the sensing nodes, and the control, software reconfiguration and optimized scheduling of the distributed software-defined reconfigurable electronic reconnaissance equipment are realized; the cognitive engine middleware is a control interface for the electronic countermeasure scouting cognitive engine, and loose coupling of the electronic countermeasure scouting information processing functional entity, the scouting resource dynamic management module and the electronic countermeasure scouting cognitive engine in the heterogeneous cognitive sensor network is achieved.
The distributed software-defined reconfigurable electronic reconnaissance device isThe hardware layer of the electronic countermeasure reconnaissance system of the heterogeneous cognitive sensor network is distributed on the sensing nodes of the heterogeneous cognitive sensor network and comprises an antenna, a receiver, a processor, transmission control equipment and the like; after the initialization of the heterogeneous cognitive sensor network is completed, the digital receiver of each node measures parameters of pulse signals intercepted by the distributed heterogeneous receiving antenna according to a preset reconnaissance strategy and outputs pulse description words to a digital processor; the digital processor carries out signal pre-sorting, generates a pre-sorting pulse description word stream and outputs the pre-sorting pulse description word stream to the electronic countermeasure reconnaissance application system; the stream of pre-sorted pulse description words is
Wherein
The c state parameter in the p pulse description word of the ith pre-sorted threat target is selected; when the distributed software-defined reconfigurable electronic reconnaissance equipment receives a reconnaissance strategy optimization instruction, the reconnaissance equipment can control the middleware to define and reconfigure the parameter configuration of the equipment on line, sensing nodes have different threat signal sensing capabilities, and measurement parameters have different types c and at least comprise pulse arrival time TOA, arrival direction DOA, frequency RF, pulse width tau and the tolerance of each parameter.
The electronic counterscout and intelligence processing functional entity can be flexibly deployed on sensing nodes of the heterogeneous cognitive sensor network according to different application scenes and different countervailing targets and consists of a threat signal characteristic extraction module, a threat signal sorting module, a target state and behavior characteristic identification module, a threat autonomous identification module and a passive positioning module; the threat signal feature extraction module is used for extracting multi-dimensional and multi-level features of the received pre-sorting result and outputting the extracted results to the target state and behavior feature identification module; the target state and behavior characteristic identification module is used for analyzing the target signal characteristics and characteristic changes, completing target state identification and target electromagnetic behavior characteristic identification, and outputting an identification result to the threat signal sorting module; the threat signal sorting module is used for carrying out main sorting on the threat signals according to known threats, unknown threats and networking threats and outputting main sorting results to the threat automatic identification module; the threat autonomous identification module identifies known threats and judges threat levels based on a threat database, outputs a threat identification result, and simultaneously streams unknown threats and networking threat description words to an electronic countermeasure reconnaissance cognitive engine for reasoning and learning; the passive positioning module is used for carrying out passive positioning on the threat radiation source through a positioning algorithm and outputting the position information of the radiation source.
The electronic counterscout reconnaissance cognitive engine is the core of an electronic counterscout reconnaissance system of the heterogeneous cognitive sensor network, can be flexibly deployed on sensing nodes of the heterogeneous cognitive sensor network according to different task requirements, and consists of an inference engine, a learning machine and a knowledge base, wherein the inference engine identifies and infers unknown threats and networking threat sorting data by adopting ways such as fuzzy-based inference and Bayes network-based inference, and outputs a radiation source type, a working mode, a behavior intention, a threat level and an identification confidence level; the learning machine is used for carrying out preliminary decision judgment according to the result output by the inference machine and the electronic reconnaissance prior knowledge pre-loaded in the knowledge base, generating electronic countermeasure reconnaissance information and forming new knowledge to expand the knowledge base.
The dynamic scout resource management module is deployed on backbone nodes of the heterogeneous cognitive sensor network, the dynamic scout resource management module of the backbone nodes generates a scout strategy optimization instruction according to scout demand information and electronic scout action efficiency evaluation results sent by the sensing nodes and distributes the scout strategy optimization instruction to corresponding nodes through data chains, the nodes perform online software definition and dynamic reconfiguration on functions and parameters of electronic scout equipment, and the heterogeneous cognitive sensor network continues to operate according to a new scout strategy. The heterogeneous cognitive sensor network controls the nodes to access the network to complete information interaction through four states of active access in the sub-network, passive access in the sub-network, active access between networks and passive access between networks when the reconnaissance resources are optimized and recombined; when the sensing node cannot identify unknown threats and networking threats or the passive positioning module cannot position the radiation source, the sensing node is crosslinked with the backbone node in an active access mode, and a threat identification requirement, full pulse data and a cooperative positioning request are sent to the backbone node in the network or between the networks; the backbone nodes perform intra-pulse analysis, feature extraction and reasoning learning on the full-pulse data, optimize the task areas and the reconnaissance strategies of the sensing nodes according to the requirements of the sensing nodes and the efficiency evaluation results, generate instructions and distribute the instructions in a data chain mode, and the corresponding nodes are accessed in a passive mode and dynamically reconstruct the functional parameters of the electronic reconnaissance equipment.
The invention has the advantages of providing a flexible, survivable and distributed electronic countermeasure reconnaissance system framework based on the heterogeneous cognitive sensor network, the electronic countermeasure reconnaissance system can realize the dynamic control of the distributed software-defined reconfigurable electronic reconnaissance equipment and the loose coupling of each functional module in a heterogeneous sensor network without depending on the platform type and the specific deployment details of the sensor node through the middleware in the architecture, the threat target and the surrounding environment signal are intelligently sensed and autonomously identified through the cognitive ability of the nodes, and fully utilizes the heterogeneous dynamic management scouting resources of the sensing network formed by each scouting subsystem, unknown threats such as self-adaptive radar and the like and networking threats are perceived in a complex electromagnetic environment, the threat perception and identification capability of an electronic counterattack reconnaissance system is improved, and the flexibility of the electronic counterattack reconnaissance system of the heterogeneous cognitive sensor network and the utilization efficiency of distributed reconnaissance resources are improved.
Drawings
Fig. 1 is a schematic diagram of an electronic countermeasure reconnaissance system of a heterogeneous cognitive sensor network according to the present invention;
fig. 2 is a block diagram of an electronic countermeasure reconnaissance workflow of a heterogeneous cognitive sensor network according to the present invention.
Detailed Description
The present invention will be described in detail with reference to examples below:
examples
Under a far-sea operation scene, an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensor network takes an early warning machine, an electronic reconnaissance machine, a carrier-based electronic warfare aircraft and an aircraft carrier as backbone nodes, and takes platforms such as a carrier-based fighter plane, an unmanned plane and a surface ship as sensing nodes; backbone nodes such as an early warning machine and the like form a core network, and information interaction is carried out by adopting a communication system shared by the whole network and an information convention format; access networks with different network characteristics are formed among the shipborne fighters, the unmanned plane groups and the surface ships respectively, and each access network subnet adopts an internal unified communication system and an information convention format to carry out information interaction in the network; each access network can be accessed to the core network through a corresponding backbone node, the backbone nodes have stronger signal sensing capability and cognitive capability compared with the sensing nodes, meanwhile, the backbone nodes also have reconnaissance resource dynamic management capability, and the backbone nodes can manage and schedule the sensing nodes in the corresponding access networks according to task requirements. Each node is connected and information is interacted through an Ethernet bus, each electronic device is connected together by adopting a secondary Ethernet bus, and each functional subsystem is directly hung on the primary Ethernet bus; a second-level Ethernet bus is hung below the transmission control equipment to manage the short-wave and ultrashort-wave radio stations and the data link equipment, and information interaction is realized among the nodes through the data link, the short-wave and ultrashort-wave radio stations and the satellite communication link.
The confrontation target of the electronic confrontation reconnaissance system of the heterogeneous cognitive sensor network comprises known threats such as a traditional radar and a communication system, unknown threats such as a novel self-adaptive radar and a communication electronic information system, and networking threats such as an unmanned aerial vehicle group and a small aerial fire bait group.
As shown in fig. 1, the heterogeneous cognitive sensor network electronic countermeasure reconnaissance architecture is composed of distributed software-defined reconfigurable electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic countermeasure reconnaissance information processing functional entity, an electronic countermeasure reconnaissance cognitive engine, a cognitive engine middleware and a reconnaissance resource dynamic management module;
the distributed software-defined reconfigurable electronic reconnaissance device is a hardware layer of an electronic counterattack reconnaissance system of the heterogeneous cognitive sensor network, is distributed on sensing nodes of the heterogeneous cognitive sensor network, such as early warning machines, electronic reconnaissance machines, carrier-based electronic warfare airplanes, carrier-based fighters, unmanned planes, surface ships and the like, and comprises an antenna, a digital receiver, a digital processor, transmission equipment and the like, and completes tasks of threat signal interception, parameter measurement, signal pre-sorting and the like in a complex electromagnetic environment, and generates and outputs pulse description words.
The electronic countermeasure reconnaissance information processing functional entity can be flexibly deployed on heterogeneous platforms such as electronic warfare airplanes, surface ships, unmanned aerial vehicles and the like according to different countermeasure targets (radar countermeasure, communication countermeasure and the like) and different application scenes (such as electronic countermeasure support reconnaissance, approach reconnaissance, threat alarm and the like), and consists of a threat signal characteristic extraction module, a threat signal sorting module, a target state and behavior characteristic identification module, a threat autonomous identification module and a passive positioning module; the threat signal feature extraction module is used for extracting and modeling multi-dimensional and multi-level target signal features based on observable signal pulse description words output by the reconnaissance equipment; the threat signal sorting module sorts the threat signals into known threats, unknown threats and networking threats based on target signal characteristics, and outputs threat description words; the target state and behavior feature recognition module completes target state recognition and target electromagnetic behavior feature recognition based on target signal features and feature changes; the threat autonomous identification module directly identifies the threats and judges the threat level of the known threats on the basis of a knowledge base, and completes the analysis of the target state threat degree and the judgment of the threat level of the unknown threats and the networking threats on the basis of the learning inference result output by the cognitive engine; the passive positioning module completes high-precision rapid passive positioning of the threat radiation source target, wherein the backbone node can automatically complete single-station passive positioning of the threat radiation source target, and the sensing node can automatically cooperate or perform multi-station passive positioning and external radiation source positioning on the threat radiation source under the scheduling of the backbone node.
The electronic countermeasure reconnaissance cognitive engine is the core of an electronic countermeasure reconnaissance system of the heterogeneous cognitive sensor network, can be flexibly deployed on sensing nodes of the heterogeneous cognitive sensor network according to different task requirements (such as radar countermeasure, communication countermeasure and the like), and consists of an inference engine, a learning engine and a knowledge base, wherein the inference engine identifies and infers uncertain threats and networking threats based on results output by the threat sorting module, outputs radiation source types, working modes, behavior intentions, threat levels and identification confidence degrees, optimizes a reconnaissance strategy according to an electronic reconnaissance action performance evaluation result, completes autonomous learning of an electromagnetic environment and self-adaptive optimization of an electronic reconnaissance task, and distributed software defines functions of the reconfigurable electronic reconnaissance equipment (such as alarm reconnaissance) and reasoning functions of the electronic reconnaissance equipment according to the learning results of the electronic countermeasure reconnaissance cognitive engine (such as alarm reconnaissance), Passive positioning, etc.) and parameters (such as frequency, pulse width, repetition frequency, tolerance, etc.) for online software definition and dynamic reconstruction; the learning machine carries out preliminary decision judgment based on the result output by the inference machine and the electronic reconnaissance prior knowledge pre-loaded in the knowledge base to generate electronic counterscout reconnaissance information, and forms new knowledge and expands the knowledge base according to the electronic reconnaissance action feedback result.
The reconnaissance resource dynamic management module is deployed on backbone nodes of the heterogeneous cognitive sensor network, dynamic optimization of reconnaissance resources is realized through management scheduling of the sensor nodes, the reconnaissance resource utilization rate is improved, and the distributed software-defined reconfigurable electronic reconnaissance equipment can realize optimized recombination of electronic countermeasure reconnaissance resources according to instructions of the reconnaissance resource dynamic management module;
the reconnaissance equipment control middleware and the cognitive engine middleware are the middleware of an electronic counterattack reconnaissance system of the heterogeneous cognitive sensor network and are deployed on sensing nodes of the heterogeneous cognitive sensor network; the scout equipment control middleware is a software control interface for the distributed scout equipment, so that the electronic countermeasure scout application system can realize control, software reconfiguration and optimized scheduling of the distributed software-defined reconfigurable electronic scout equipment without depending on platform types and specific deployment details (such as airborne electronic scout equipment, carrier-borne electronic scout equipment and the like) of the sensing nodes; the cognitive engine middleware is a control interface for the electronic countermeasure reconnaissance cognitive engine, realizes loose coupling of the electronic countermeasure reconnaissance application system, the reconnaissance resource dynamic management module and the electronic countermeasure reconnaissance cognitive engine in the heterogeneous cognitive sensor network, and improves flexibility of the electronic countermeasure reconnaissance sensor system of the heterogeneous cognitive sensor network.
As shown in fig. 2, backbone nodes such as the early warning machine and the like initiate networking requirements, and the sensing nodes build a network to build a link and establish a heterogeneous cognitive sensing network facing an electronic countermeasure reconnaissance task. After initialization of the heterogeneous cognitive sensor network is completed, full-band omnidirectional threat sensing is carried out on a complex electromagnetic environment by a distributed heterogeneous receiving antenna of each node according to a preset reconnaissance strategy, a digital receiver carries out parameter measurement on an intercepted threat pulse signal, and pulse description words are output to a digital processor; the digital processor carries out signal pre-sorting, generates a pre-sorting pulse description word stream and outputs the pre-sorting pulse description word stream to the electronic countermeasure reconnaissance application system; a threat signal characteristic extraction module of the electronic countermeasure reconnaissance information processing functional entity extracts multi-dimensional and multi-level characteristics of the pre-sorting result and outputs the extracted results to a target state and behavior characteristic identification module; the target state and behavior characteristic identification module completes target state identification and target electromagnetic behavior characteristic identification based on target signal characteristics and characteristic changes and outputs identification results to the threat signal sorting module; the threat signal sorting module is used for carrying out main sorting on the threat signals according to known threats, unknown threats and networking threats, and main sorting results are output to the threat automatic identification module; the threat autonomous identification module carries out threat identification and threat level judgment on the known threats based on the threat database and outputs a threat identification result, and simultaneously streams unknown threats and networking threat description words to an electronic countermeasure scout cognitive engine for reasoning and learning to generate electronic scout intelligence; the passive positioning module passively positions the threat radiation source according to a preset positioning strategy and outputs radiation source position information;
when a sensing node such as an unmanned aerial vehicle cannot identify unknown threats and networking threats or a passive positioning module cannot position a radiation source, the sensing node is crosslinked with backbone nodes such as an early warning machine in an active access mode, and a threat identification requirement, full pulse data and a cooperative positioning request are sent to the backbone nodes in the network or between networks; backbone nodes such as an electronic scout and the like perform intra-pulse analysis, feature extraction and reasoning learning on the full-pulse data, optimize a task area of a sensing node and a scout strategy according to the demand of the sensing node and an efficiency evaluation result, generate an instruction and distribute the instruction in a data chain mode, corresponding nodes are accessed in a passive mode and perform online software definition and dynamic reconfiguration on functions and parameters of electronic scout equipment, and the heterogeneous cognitive sensor network continues to operate according to a new scout strategy.
It should be noted that the embodiment is only used for illustrating the technical solution of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiment, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced equivalently without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. An electronic countermeasure reconnaissance system architecture based on heterogeneous cognitive sensor network is characterized in that:
the electronic countermeasure reconnaissance system architecture based on the heterogeneous cognitive sensor network comprises: the system comprises distributed software-defined reconfigurable electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic countermeasure reconnaissance information processing functional entity, an electronic countermeasure reconnaissance cognitive engine, a cognitive engine middleware and a reconnaissance resource dynamic management module;
the distributed software-defined reconfigurable electronic reconnaissance equipment is used for intercepting radiation source signals, measuring parameters, pre-sorting the signals and uploading pre-sorting results to an electronic countermeasure reconnaissance information processing functional entity;
the electronic counterattack reconnaissance information processing functional entity is used for extracting threat signal characteristics, identifying target states and behavior characteristics, sorting threat signals, identifying known threats and passively positioning targets of the received pre-sorting results and sending the processing results to the electronic counterattack reconnaissance cognitive engine;
the electronic counterattack reconnaissance cognition engine is used for reasoning and learning the unknown threats and the networking threats according to the processing result sent by the intelligence processing functional entity to generate electronic counterattack reconnaissance intelligence; carrying out efficiency evaluation and dynamic optimization on the reconnaissance strategy, and sending optimization information to a reconnaissance resource dynamic management module;
and the reconnaissance resource dynamic management module is used for carrying out optimization scheduling on the sensing nodes according to the received optimization information and carrying out online software definition and dynamic reconstruction on the functional parameters of the distributed electronic reconnaissance equipment.
2. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 1, wherein:
the heterogeneous cognitive sensor network is a core network formed by backbone nodes, and information interaction is carried out by adopting a communication system shared by the whole network and an information convention format; sensing nodes used for the same reconnaissance task form an access network sub-network, and each access network sub-network adopts an internal unified communication system and an information convention format to carry out intra-network information interaction; the nodes realize information interaction through a data link, short waves and ultrashort waves, and the nodes and the satellite system realize information interaction by adopting a special satellite communication link and an information format; the node is connected with each functional subsystem by adopting a primary Ethernet bus, and is connected with each electronic reconnaissance device by adopting a secondary Ethernet bus.
3. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 1, wherein:
the distributed software-defined reconfigurable electronic reconnaissance device comprises an antenna, a digital receiver, a digital processor and transmission control equipment; after the initialization of the heterogeneous cognitive sensor network is completed, the digital receiver of each node performs parameter measurement on pulse signals intercepted by the distributed heterogeneous receiving antenna according to a preset reconnaissance strategy, and outputs pulse description words to a digital processor; the digital processor pre-sorts the signals to generate a pre-sorting pulse description word stream and outputs the pre-sorting pulse description word stream to the electronic countermeasure scouting information processing functional entity.
4. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 1, wherein:
the threat signal characteristic extraction module of the electronic countermeasure reconnaissance information processing functional entity is used for carrying out multi-dimensional and multi-level characteristic extraction on the received pre-sorting result and outputting the result to the target state and behavior characteristic identification module; the target state and behavior characteristic identification module is used for analyzing the target signal characteristics and characteristic changes, completing target state identification and target electromagnetic behavior characteristic identification, and outputting an identification result to the threat signal sorting module; the threat signal sorting module is used for carrying out main sorting on the threat signals according to known threats, unknown threats and networking threats and outputting main sorting results to the threat automatic identification module; the threat autonomous identification module identifies known threats and judges threat levels based on a threat database, outputs a threat identification result, and simultaneously streams unknown threats and networking threat description words to an electronic countermeasure reconnaissance cognitive engine for reasoning and learning; the passive positioning module is used for carrying out passive positioning on the threat radiation source through a positioning algorithm and outputting the position information of the radiation source.
5. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 1, wherein:
the electronic counterattack reconnaissance cognition engine comprises an inference engine, a learning machine and a knowledge base; the inference machine is used for identifying and inferring the unknown threats and the networking threats by fuzzy inference and Bayes network inference and other manners, and outputting radiation source types, working modes, behavior intentions, threat levels and identification confidence degrees; the learning machine is used for carrying out preliminary decision judgment according to the result output by the inference machine and the electronic reconnaissance prior knowledge pre-loaded in the knowledge base, generating electronic countermeasure reconnaissance information and forming new knowledge to expand the knowledge base.
6. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 1, wherein:
the heterogeneous cognitive sensor network controls the nodes to access the network to complete information interaction through four states of active access in the sub-network, passive access in the sub-network, active access between networks and passive access between networks when the reconnaissance resources are optimized and recombined; when the sensing node cannot identify unknown threats and networking threats or the passive positioning module cannot position the radiation source, the sensing node is crosslinked with the backbone node in an active access mode, and a threat identification requirement, full pulse data and a cooperative positioning request are sent to the backbone node in the network or between the networks; the backbone nodes carry out intra-pulse analysis, feature extraction and reasoning learning on the full-pulse data, the task areas and the reconnaissance strategies of the sensing nodes are optimized according to the requirements and the efficiency evaluation results of the sensing nodes, optimization information is generated and distributed to corresponding access networks and the sensing nodes in a data chain mode, and the nodes are accessed in a passive mode and carry out online software definition and dynamic reconfiguration on functions and parameters of the electronic reconnaissance equipment.
7. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network according to claim 2, wherein:
the heterogeneous cognitive sensor network comprises N core networks and M access networks, wherein N is more than or equal to 1, and M is more than or equal to 2; heterogeneous networks are arranged among the access networks and between the access networks and the core network, and the access networks and the core network are driven to carry out networking and link establishment based on electronic countermeasure reconnaissance tasks.
8. The electronic countermeasure reconnaissance architecture based on the heterogeneous cognitive sensor network of claim 3, wherein:
the stream of pre-sorted pulse description words is
Wherein the content of the first and second substances,
the c parameter in the p pulse description word of the ith pre-sorted threat target is selected; the parameters should include at least the time of arrival TOA of the pulse, the direction of arrival DOA, the frequency RF, the pulse width τ, and the tolerance of each parameter; and the transmission control equipment is provided with a secondary Ethernet bus in the node and is used for managing the short-wave radio station, the ultra-short-wave radio station and the data link equipment.
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| CN113126652A (en) * | 2021-04-02 | 2021-07-16 | 中国人民解放军海军航空大学 | Dispatching method and device for unmanned aerial vehicle cluster cooperative electronic reconnaissance |
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| CN112130119A (en) * | 2020-08-21 | 2020-12-25 | 扬州船用电子仪器研究所(中国船舶重工集团公司第七二三研究所) | Distributed multi-station electronic reconnaissance cooperative signal processing system and method |
| CN112422152A (en) * | 2020-11-05 | 2021-02-26 | 中国人民解放军32802部队 | Communication relation recognition and processing method for communication service network |
| CN112422152B (en) * | 2020-11-05 | 2021-07-20 | 中国人民解放军32802部队 | Communication relation recognition and processing method for communication service network |
| CN112543422A (en) * | 2020-11-19 | 2021-03-23 | 武汉国之安科技发展有限公司 | Short-wave passive positioning method |
| CN113049885A (en) * | 2021-02-08 | 2021-06-29 | 浙江大学 | Multi-agent intelligent electronic interference method based on information sharing |
| CN113049885B (en) * | 2021-02-08 | 2022-06-07 | 浙江大学 | Multi-agent intelligent electronic interference method based on information sharing |
| CN113126652A (en) * | 2021-04-02 | 2021-07-16 | 中国人民解放军海军航空大学 | Dispatching method and device for unmanned aerial vehicle cluster cooperative electronic reconnaissance |
| CN115617534A (en) * | 2022-12-20 | 2023-01-17 | 中国电子科技集团公司信息科学研究院 | Distributed autonomous countermeasure system architecture based on cognitive coordination and implementation method |
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