CN111490848B - Electronic countermeasure reconnaissance system based on heterogeneous cognitive sensing network - Google Patents
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Abstract
The invention discloses an electronic counterreconnaissance system architecture based on a heterogeneous cognitive sensing network, wherein distributed software defined reconfigurable electronic reconnaissance equipment carries out threat perception on a complex electromagnetic environment, a threat signal characteristic extraction module carries out characteristic extraction and modeling on a target signal, a target state and behavior characteristic recognition module recognizes the target state and the target electromagnetic behavior characteristic, a threat signal sorting module sorts threat signals according to known threats, unknown threats and networking threats, a threat autonomous recognition module carries out threat recognition and threat level judgment on the known threats based on a knowledge base, an electronic counterreconnaissance cognitive engine carries out recognition and inference on the unknown threats and the networking threats based on an inference engine to generate electronic counterreconnaissance information, and a backbone node reconnaissance resource dynamic management module carries out functional parameter dynamic reconstruction and optimal scheduling on a sensing node, so that the threat perception recognition capacity of the electronic counterreconnaissance system and the utilization efficiency of a reconnaissance resource are improved.
Description
Technical Field
The invention belongs to the technical field of electronic countermeasure, in particular to the technical field of cognitive electronic warfare, and particularly relates to an electronic countermeasure reconnaissance system architecture based on a heterogeneous cognitive sensing network.
Background
With the rapid development of technologies such as software radio, cognitive radio, heterogeneous cognitive network and the like, and the continuous application of the technologies in the electronic countermeasure field, the cognitive electronic war has become one of the most important development trends in the electronic countermeasure field. Electronic counterreconnaissance is a precondition and important support for effectively implementing electronic warfare, and an electronic warfare system is required to complete tasks such as capturing and sorting target signals, threat identification, implementing passive positioning on threat targets and the like in a complex electromagnetic environment. In recent years, technologies of radar, communication system anti-interference, low interception and the like are rapidly developed, an adaptive electronic information system with cognitive ability is continuously developed and deployed for application, the intelligent degree of an countermeasure target is higher and higher, and a battlefield electromagnetic environment is more complex. In the countermeasure process of the electronic information systems such as the self-adaptive radar, communication and the like which are arranged on different platforms in different scenes and are used for resisting different targets, the defects of the environment cognition capability and the task self-adaptive processing capability are more obvious, particularly the effective perception and the online recognition of unknown threats become a great challenge, and the threat perception capability 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, fully utilize the heterogeneous dynamic management scout resources of a sensing network formed by each scout system, and further effectively sense threat targets such as advanced self-adaptive electronic information systems and the like in a complex electromagnetic environment, and become a problem to be solved urgently in electronic counterreconnaissance at present.
Disclosure of Invention
The invention aims to solve the problems and provides an electronic counterreconnaissance system architecture based on a heterogeneous cognitive sensing network.
The technical scheme of the invention is as follows:
The heterogeneous cognitive sensing network for electronic counterreconnaissance has the sensing nodes with cognitive ability and threat signal sensing ability, and particularly comprises backbone nodes and sensing nodes, wherein the backbone nodes have the dynamic management ability of reconnaissance resources besides the stronger signal sensing ability and cognitive ability than the sensing nodes, and can manage and schedule the corresponding sensing nodes; the backbone nodes form a core network, and the sensing nodes form an access network and are accessed into the core network through the backbone nodes; the nodes are connected and information interacted through an Ethernet bus; information interaction is realized among the nodes through data links, short waves, ultrashort waves and satellite communication links; the network heterogeneity is obvious among the access networks and between the access network and the core network; the sensing node has four access states of active access in a subnet, passive access in the subnet, active access between networks and passive access between networks, and networking link establishment and network initialization of the heterogeneous cognitive sensing network are carried out based on electronic counterreconnaissance task driving.
The electronic counterreconnaissance system architecture based on the heterogeneous cognitive sensing network comprises the following components: the distributed software definition can reconstruct electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic counterreconnaissance information processing functional entity, an electronic counterreconnaissance cognitive engine, a cognitive engine middleware and a reconnaissance resource dynamic management module;
The interface and information interaction of the electronic counterreconnaissance system architecture comprises three layers, namely a node interior, a subnet interior and a whole network, wherein the node interior adopts a secondary Ethernet bus to connect all electronic devices together, and all functional subsystems are directly hung on a primary Ethernet bus; a second-level Ethernet bus is hung below the transmission control equipment to manage short wave and ultrashort wave radio stations and data link equipment; the sensing nodes executing the same scout task form an access network subnet, and each access network subnet adopts an internal unified communication system and an information contract format to carry out information interaction in the network; the backbone nodes form a core network, and the information interaction is carried out by adopting a communication system and an information contract format shared by the whole network; 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 scout equipment control middleware is a software control interface for the distributed scout equipment, so that an electronic counterscout system does not depend on the platform type and specific deployment details of the sensing node, and control, software reconstruction and optimal scheduling of the distributed software defined reconfigurable electronic scout equipment are realized; the cognitive engine middleware is a control interface for the electronic counterreconnaissance cognitive engine, and realizes loose coupling of the electronic counterreconnaissance information processing functional entity, the reconnaissance resource dynamic management module and the electronic counterreconnaissance cognitive engine in the heterogeneous cognitive sensing network.
The distributed software defined reconfigurable electronic reconnaissance device is a hardware layer of a heterogeneous cognitive sensing network electronic counterreconnaissance system, is distributed and deployed on sensing nodes of the heterogeneous cognitive sensing network and consists of an antenna, a receiver, a processor, transmission control equipment and the like; after the heterogeneous cognitive sensing network is initialized, 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 the digital processor; the digital processor performs signal pre-sorting to generate a pre-sorted pulse description word stream and outputs the pre-sorted pulse description word stream to the electronic countermeasure reconnaissance application system; the pre-sorting pulse description word stream isWherein/>Pre-selecting a c-th state parameter in a p-th pulse descriptor of the threat target for an i-th pulse; after the distributed software defined reconfigurable electronic reconnaissance device receives the reconnaissance strategy optimization instruction, the reconnaissance device can control middleware to perform on-line definition and reconfiguration on parameter configuration of the device, the sensing node threat signal sensing capability is different, the measured parameters are different in type c, and the parameters at least comprise pulse arrival time TOA, arrival direction DOA, frequency RF, pulse width tau and tolerance of each parameter.
The electronic countermeasures reconnaissance information processing functional entity can be flexibly deployed on heterogeneous cognitive sensing network sensing nodes according to different application scenes and different countermeasures, and consists of a threat signal feature extraction module, a threat signal sorting module, a target state and behavior feature recognition module, a threat autonomous recognition 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-selection result and outputting the multi-dimensional and multi-level features to the target state and behavior feature recognition module; the target state and behavior feature recognition module is used for analyzing the target signal features and feature changes, completing target state recognition and target electromagnetic behavior feature recognition, and outputting recognition results to the threat signal sorting module; the threat signal sorting module is used for carrying out main sorting on threat signals according to known threats, unknown threats and networking threats, and outputting a main sorting result to the threat autonomous identification module; the threat autonomous recognition module recognizes known threats and judges threat levels based on a threat database, outputs threat recognition results, and simultaneously carries out reasoning and learning on the unknown threats and networking threat description words in the streaming electronic counterreconnaissance cognitive engine; the passive positioning module is used for passively positioning the threat radiation source through a positioning algorithm and outputting the position information of the radiation source.
The electronic counterreconnaissance cognitive engine is a core of a heterogeneous cognitive sensing network electronic counterreconnaissance system, can be flexibly deployed on sensing nodes of the heterogeneous cognitive sensing network according to different task demands, consists of an inference engine, a learning machine and a knowledge base, and is used for identifying and inferring unknown threats and networking threat sorting data in a fuzzy-based reasoning mode, a Bayes network-based reasoning mode and the like, and outputting radiation source types, working modes, behavior intentions, threat levels and identification confidence; the learning machine is used for carrying out preliminary decision judgment according to the result output by the reasoning machine and the electronic reconnaissance priori knowledge preloaded in the knowledge base, generating electronic counterreconnaissance information, and forming new knowledge to expand the knowledge base.
The scout resource dynamic management module is deployed on backbone nodes of the heterogeneous cognitive sensing network, generates scout strategy optimization instructions according to scout demand information and electronic scout action efficiency evaluation results sent by the sensing nodes, distributes the scout strategy optimization instructions to corresponding nodes through data links, and performs online software definition and dynamic reconstruction on functions and parameters of electronic scout equipment by the nodes, and the heterogeneous cognitive sensing network continues to operate according to new scout strategies. The heterogeneous cognitive sensing network completes information interaction by controlling node network access through four states, namely active access in a subnet, passive access in a subnet, active access between networks and passive access between networks when scouting resource optimization and recombination; when the sensing node cannot finish identifying unknown threats and networking threats or the passive positioning module cannot finish positioning the radiation source, the sensing node is crosslinked with the backbone node in an active access mode, and threat identification requirements, full pulse data and a cooperative positioning request are sent to the intra-network or inter-network backbone node; the backbone nodes perform intra-pulse analysis, feature extraction and reasoning learning on the full pulse data, optimize the task area of the sensing nodes and the scout strategy according to the sensing node requirements and the efficiency evaluation result, 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 scout equipment.
The invention has the beneficial effects that the flexible, destruction-resistant and distributed electronic counterreconnaissance system architecture based on the heterogeneous cognitive sensing network is provided, the electronic counterreconnaissance system can be independent of the platform type and specific deployment details of the sensing nodes through middleware in the architecture, the dynamic control of the distributed software defined reconfigurable electronic reconnaissance equipment and the loose coupling of each functional module in the heterogeneous sensing network are realized, the intelligent perception and autonomous recognition of threat targets and surrounding environment signals are carried out through the cognitive ability of the nodes, the reconnaissance resources of the sensing network formed by each reconnaissance subsystem are fully utilized, the unknown threats such as self-adaptive radars and networking threats are perceived in the complex electromagnetic environment, the threat perception and recognition ability of the electronic counterreconnaissance system is improved, and the flexibility of the electronic counterreconnaissance system of the heterogeneous cognitive sensing network and the utilization efficiency of the distributed reconnaissance resources are improved.
Drawings
Fig. 1 is a schematic diagram of an electronic counterreconnaissance architecture of a heterogeneous cognitive sensor network according to the present invention;
Fig. 2 is a block diagram of an electronic counterreconnaissance 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 the following examples:
Examples
In an open sea combat scene, an electronic counterreconnaissance system architecture based on a heterogeneous cognitive sensing network takes an early warning machine, an electronic reconnaissance machine, a carrier-based electronic combat aircraft and an aircraft carrier as backbone nodes, and takes platforms such as a carrier-based fighter aircraft, an unmanned plane, a water surface ship and the like as perception nodes; backbone nodes such as early warning machines 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 contract format; access networks with different network characteristics are respectively formed among the carrier-based fighters, among the unmanned aerial vehicle groups and among the water-surface ships, and each access network subnet adopts an internal unified communication system and an information contract format to carry out information interaction in the network; each access network can be accessed into the core network through the corresponding backbone node, the backbone node has stronger signal sensing capability and cognitive capability compared with the sensing node, meanwhile, the backbone node also has the reconnaissance resource dynamic management capability, and the backbone node can manage and schedule the sensing node in the corresponding access network according to task demands. The nodes are connected and information interacted through an Ethernet bus, a secondary Ethernet bus is adopted to connect the electronic devices together, and the functional subsystems are directly hung on the primary Ethernet bus; and a second-level Ethernet bus is hung below the transmission control equipment, short-wave and ultrashort-wave radio stations and data link equipment are managed, and information interaction is realized among nodes through data links, short waves and ultrashort waves and satellite communication links.
The countermeasure targets of the heterogeneous cognitive sensing network electronic countermeasure reconnaissance system comprise known threats such as traditional radars, communication systems and the like, unknown threats such as novel adaptive radars, communication electronic information systems and the like, and networking threats such as unmanned aerial vehicle groups, small air-jet bait groups and the like.
As shown in fig. 1, the heterogeneous cognitive sensor network electronic counterreconnaissance architecture is composed of distributed software defined reconfigurable electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic counterreconnaissance information processing functional entity, an electronic counterreconnaissance 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 anti-reconnaissance system of a heterogeneous cognitive sensing network, is distributed and deployed on sensing nodes of the heterogeneous cognitive sensing network such as an early warning machine, an electronic reconnaissance machine, a carrier-based electronic warplane, a carrier-based fighter plane, an unmanned plane, a water surface ship and the like, and comprises an antenna, a digital receiver, a digital processor, transmission equipment and the like, and completes tasks such as threat signal interception, parameter measurement, signal pre-sorting and the like in a complex electromagnetic environment, so as to generate and output pulse description words.
The electronic countermeasure reconnaissance information processing functional entity can be flexibly deployed on heterogeneous platforms such as electronic warplanes, water surface ships and unmanned aerial vehicles according to different countermeasure targets (radar countermeasure, communication countermeasure and the like) and different application scenes (such as electronic countermeasure support reconnaissance, approaching reconnaissance, threat warning and the like), and consists of a threat signal feature extraction module, a threat signal sorting module, a target state and behavior feature recognition module, a threat autonomous recognition module and a passive positioning module; the threat signal feature extraction module is used for completing the extraction and modeling of multi-dimensional and multi-level target signal features based on observable signal pulse descriptors output by the reconnaissance equipment; the threat signal sorting module sorts 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 recognition module directly performs threat recognition and threat level judgment on the known threat based on a knowledge base, and completes target state threat level analysis and threat level judgment on the unknown threat and networking threat based on a learning reasoning result output by a cognitive engine; the passive positioning module is used for completing high-precision rapid passive positioning of the threat radiation source targets, wherein backbone nodes can autonomously complete single-station passive positioning of the threat radiation source targets, and sensing nodes can autonomously cooperate or perform multi-station passive positioning and external radiation source positioning on the threat radiation sources under the dispatching of the backbone nodes.
The electronic counterreconnaissance cognitive engine is a core of an electronic counterreconnaissance system of the heterogeneous cognitive sensing network, can be flexibly deployed on sensing nodes of the heterogeneous cognitive sensing network according to different task demands (such as radar countermeasures, communication countermeasures and the like), and consists of an inference engine, a learning machine and a knowledge base, wherein the inference engine is used for identifying and inferring unknown threats and networking threats based on results output by a threat sorting module, outputting radiation source types, working modes, behavior intentions, threat levels and identification confidence levels, optimizing a reconnaissance strategy according to electronic reconnaissance action efficiency evaluation results, completing autonomous learning of electromagnetic environments and adaptive optimization of electronic reconnaissance tasks, and performing on-line software definition and dynamic reconfiguration on functions (such as alarm reconnaissance, passive positioning and the like) and parameters (such as frequency, pulse width, reconfiguration frequency, tolerance and the like) of the electronic reconnaissance equipment according to learning inference results of the electronic counterattack cognitive engine; the learning machine performs preliminary decision judgment based on the result output by the inference machine and electronic reconnaissance priori knowledge preloaded in the knowledge base, generates electronic counterreconnaissance information, and forms new knowledge and expands the knowledge base according to the feedback result of the electronic reconnaissance action.
The reconnaissance resource dynamic management module is deployed on backbone nodes of the heterogeneous cognitive sensing network, dynamic optimization of reconnaissance resources is realized through management scheduling of the sensing nodes, the utilization rate of the reconnaissance resources is improved, and the distributed software defined reconfigurable electronic reconnaissance equipment can realize electronic counterreconfigurated reconfigurations of reconnaissance resource optimization according to instructions of the reconnaissance resource dynamic management module;
The scout equipment control middleware and the cognitive engine middleware are middleware of the heterogeneous cognitive sensing network electronic countermeasure scout system and are deployed on sensing nodes of the heterogeneous cognitive sensing network; the scout equipment control middleware is a software control interface for the distributed scout equipment, so that an electronic counterscout application system can realize control, software reconstruction and optimal scheduling of the distributed software-defined reconfigurable electronic scout equipment without depending on the platform type and specific deployment details (such as airborne electronic scout equipment, carrier-borne electronic scout equipment and the like) of the sensing node; the cognitive engine middleware is a control interface for the electronic counterreconnaissance cognitive engine, so that loose coupling of the electronic counterreconnaissance application system, the reconnaissance resource dynamic management module and the electronic counterreconnaissance cognitive engine in the heterogeneous cognitive sensing network is realized, and flexibility of the electronic counterreconnaissance system of the heterogeneous cognitive sensing network is improved.
As shown in fig. 2, backbone nodes such as early warning machines initiate networking requirements, sensor nodes are networked to build a chain, and a heterogeneous cognitive sensor network facing electronic counterreconnaissance tasks is built. After the heterogeneous cognitive sensing network is initialized, the distributed heterogeneous receiving antennas of all nodes perform full-frequency-band omni-directional threat sensing on the complex electromagnetic environment according to a preset reconnaissance strategy, and the digital receiver performs parameter measurement on the intercepted threat pulse signals and outputs pulse description words to the digital processor; the digital processor performs signal pre-sorting to generate a pre-sorted pulse description word stream and outputs the pre-sorted pulse description word stream to the electronic countermeasure reconnaissance application system; the threat signal characteristic extraction module of the electronic counterreconnaissance information processing functional entity performs multidimensional and multi-level characteristic extraction on the pre-selection result and outputs the multi-dimensional and multi-level characteristic extraction to the target state and behavior characteristic recognition module; the target state and behavior feature recognition module completes target state recognition and target electromagnetic behavior feature recognition based on the target signal features and feature changes, and outputs recognition results to the threat signal sorting module; the threat signal sorting module carries out main sorting on threat signals according to known threats, unknown threats and networking threats, and a main sorting result is output to the threat autonomous identification module; the threat autonomous recognition module carries out threat recognition and threat level judgment on known threats based on a threat database, outputs a threat recognition result, simultaneously carries out reasoning and learning on the unknown threats and networking threat description words in the electronic counterreconnaissance cognitive engine, and generates electronic reconnaissance information; the passive positioning module performs passive positioning on the threat radiation source according to a preset positioning strategy and outputs the position information of the radiation source;
When sensing nodes such as unmanned aerial vehicles cannot identify unknown threats and networking threats or a passive positioning module cannot position a radiation source, the sensing nodes crosslink with backbone nodes such as early warning machines in an active access mode, and threat identification requirements, full pulse data and cooperative positioning requests are sent to backbone nodes in a network or between networks; backbone nodes such as an electronic scout machine and the like perform intra-pulse analysis, feature extraction and reasoning learning on full pulse data, optimize a task area of the sensing node and a scout strategy according to sensing node requirements and efficiency evaluation results, generate instructions and distribute the instructions in a data chain mode, enable corresponding nodes to be accessed in a passive mode, perform online software definition and dynamic reconstruction on functions and parameters of the electronic scout equipment, and enable the heterogeneous cognitive sensor network to continue to operate according to the new scout strategy.
It should be noted that this embodiment is only for illustrating the technical scheme of the present invention and not for limiting the technical scheme, and although the present invention has been described in detail with reference to the preferred embodiment, it should be understood by those skilled in the art that the technical scheme of the present invention can be modified or substituted without departing from the spirit and scope of the technical scheme of the present invention.
Claims (8)
1. An electronic countermeasure reconnaissance system based on heterogeneous cognitive sensing network is characterized in that:
the electronic counterreconnaissance system based on the heterogeneous cognitive sensing network comprises: the distributed software definition reconfigurable electronic reconnaissance equipment, a reconnaissance equipment control middleware, an electronic counterreconnaissance information processing functional entity, an electronic counterreconnaissance cognitive engine, a cognitive engine middleware and a reconnaissance resource dynamic management module;
The distributed software defined reconfigurable electronic reconnaissance equipment comprises a digital receiver and a digital processor, and is used for capturing radiation source signals, measuring parameters and pre-sorting the signals, and uploading pre-sorting results to an electronic counterreconnaissance information processing functional entity;
The electronic counterreconnaissance information processing functional entity consists of a threat signal feature extraction module, a threat signal sorting module, a target state and behavior feature recognition module, a threat autonomous recognition module and a passive positioning module, and is used for carrying out threat signal feature extraction, target state and behavior feature recognition, threat signal sorting, known threat recognition and target passive positioning on a received pre-sorting result and sending the processing result to an electronic counterreconnaissance cognitive engine;
The electronic countermeasures reconnaissance cognitive engine is used for reasoning and learning the unknown threats and networking threats according to the processing results sent by the information processing functional entity to generate electronic countermeasures reconnaissance information; performing efficiency evaluation and dynamic optimization on the reconnaissance strategy, and sending optimization information to a reconnaissance resource dynamic management module;
The reconnaissance resource dynamic management module is used for carrying out optimal scheduling on the sensing nodes according to the received optimization information and carrying out on-line software definition and dynamic reconstruction on the functional parameters of the distributed electronic reconnaissance equipment;
the sensing nodes of the heterogeneous cognitive sensing network comprise backbone nodes and sensing nodes, wherein the backbone nodes have the capability of dynamically managing scout resources, and manage and schedule the corresponding sensing nodes;
The distributed software definition reconfigurable electronic reconnaissance equipment, the electronic counterreconnaissance information processing functional entity and the electronic counterreconnaissance cognitive engine are deployed on sensing nodes of the heterogeneous cognitive sensing network; the reconnaissance resource dynamic management module is deployed on backbone nodes of the heterogeneous cognitive sensing network;
The passive positioning module is used for completing high-precision rapid passive positioning of the threat radiation source targets, wherein the backbone nodes autonomously complete single-station passive positioning of the threat radiation source targets, and the sensing nodes autonomously cooperate or perform multi-station passive positioning and external radiation source positioning on the threat radiation sources under the dispatching of the backbone nodes;
The digital receiver performs parameter measurement on the intercepted radiation source signals and outputs pulse description words to the digital processor; the digital processor performs signal pre-sorting to generate a pre-sorting pulse description word stream and outputs the pre-sorting pulse description word stream to the electronic countermeasures reconnaissance information processing functional entity; the threat signal characteristic extraction module of the electronic counterreconnaissance information processing functional entity performs multidimensional and multi-level characteristic extraction on the pre-selection result and outputs the multi-dimensional and multi-level characteristic extraction to the target state and behavior characteristic identification module; the target state and behavior feature recognition module completes target state recognition and target electromagnetic behavior feature recognition based on the target signal features and feature changes, and outputs recognition results to the threat signal sorting module; the threat signal sorting module carries out main sorting on threat signals according to known threats, unknown threats and networking threats, and a main sorting result is output to the threat autonomous identification module; the threat autonomous recognition module carries out threat recognition and threat level judgment on known threats based on a threat database, outputs a threat recognition result, simultaneously carries out reasoning and learning on the unknown threats and networking threat description words in the electronic counterreconnaissance cognitive engine, and generates electronic reconnaissance information;
The pre-selected pulse descriptor stream is PDWi, p= { PDW1i, p, PDW2i, p, …, PDWci, p }, wherein PDWci, p is the c-th parameter in the p-th pulse descriptor of the i-th pre-selected threat target; the parameters include pulse arrival time TOA, direction of arrival DOA, frequency RF, pulse width τ, and various parameter tolerances.
2. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 1, wherein:
The heterogeneous cognitive sensing network comprises a core network formed by backbone nodes, and performs information interaction by adopting a communication system and an information contract format shared by the whole network; an access network subnet is formed by sensing nodes for the same reconnaissance task, and each access network subnet adopts an internal unified communication system and an information contract format to carry out information interaction in the network; the sensing nodes realize information interaction through data links, short waves and ultrashort waves, and the sensing nodes and a satellite system adopt a special satellite communication link and an information format to realize information interaction; the sensing node adopts a first-level Ethernet bus to connect with each functional subsystem, and adopts a second-level Ethernet bus to connect with each electronic reconnaissance device.
3. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 1, wherein:
The distributed software defined reconfigurable electronic reconnaissance device further comprises a distributed heterogeneous receiving antenna and a transmission control device; after the heterogeneous cognitive sensing network is initialized, the digital receiver of each sensing 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 the digital processor.
4. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 1, wherein:
The passive positioning module is used for passively positioning the threat radiation source through a positioning algorithm and outputting the position information of the radiation source.
5. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 1, wherein:
The electronic counterreconnaissance cognitive engine comprises an inference engine, a learning machine and a knowledge base; the inference engine is used for identifying and inferring the unknown threat and networking threat sorting data in a fuzzy inference-based and Bayes network-based inference mode, and outputting the radiation source type, the working mode, the behavior intention, the threat level and the identification confidence; the learning machine is used for carrying out preliminary decision judgment according to the result output by the inference machine and the electronic reconnaissance priori knowledge preloaded in the knowledge base, generating electronic counterreconnaissance information, and forming new knowledge to expand the knowledge base.
6. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 1, wherein:
The heterogeneous cognitive sensing network completes information interaction by controlling the sensing nodes to access the network through four states, namely active access in a subnet, passive access in the subnet, active access between networks and passive access between networks when scouting resource optimization and recombination; when the sensing node cannot finish identifying unknown threats and networking threats or the passive positioning module cannot finish positioning the radiation source, the sensing node is crosslinked with the backbone node in an active access mode, and threat identification requirements, full pulse data and a cooperative positioning request are sent to the intra-network or inter-network backbone node; the backbone nodes perform intra-pulse analysis, feature extraction and reasoning learning on the full pulse data, optimize the task area of the sensing nodes and the scout strategy according to the requirements of the sensing nodes and the performance evaluation result, generate optimization information and distribute the optimization information to the corresponding access network and the sensing nodes in a data link mode, and the sensing nodes are accessed in a passive mode and perform online software definition and dynamic reconstruction on the functions and parameters of the electronic scout equipment.
7. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 2, wherein:
The heterogeneous cognitive sensing 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 between the access networks and the core network, and networking and chain construction are carried out on the basis of electronic countermeasure reconnaissance task driving by the access networks and the core network.
8. The electronic countering reconnaissance system based on heterogeneous cognitive sensing networks of claim 3, wherein:
The transmission control equipment is provided with a secondary Ethernet bus in the sensing 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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| 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 |
| CN113049885B (en) * | 2021-02-08 | 2022-06-07 | 浙江大学 | Multi-agent intelligent electronic interference method based on information sharing |
| CN113126652B (en) * | 2021-04-02 | 2022-09-30 | 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 |
| CN115617534B (en) * | 2022-12-20 | 2023-03-10 | 中国电子科技集团公司信息科学研究院 | Distributed autonomous countermeasure system based on cognitive cooperation and implementation method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8860602B2 (en) * | 2012-10-09 | 2014-10-14 | Accipiter Radar Technologies Inc. | Device and method for cognitive radar information network |
| CN103179593A (en) * | 2013-04-12 | 2013-06-26 | 重庆大学 | Network identification method in heterogeneous multi-cognitive wireless network coexistence environment |
| US11057879B2 (en) * | 2016-03-29 | 2021-07-06 | Agency For Science, Technology And Research | All-digital software-defined cognitive heterogeneous network transceiver architecture |
-
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Non-Patent Citations (2)
| Title |
|---|
| 基于自主认知的空间组网通信系统关键技术研究;牛国庆;《中国优秀硕士学位论文全文数据库》;I136-598 * |
| 认知电子战体系结构与技术;王沙飞等;《中国科学: 信息科学》;48(12);1603–1613 * |
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