Information Theory and Construction Methods of Complex Perception Systems
This paper addresses the challenges of adapting complex perception systems to perform core tasks such as detection, tracking, and countermeasures in highly dynamic and adversarial battlefield environments. We propose an information-driven theoretical model and a systematic methodology for system con...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-06-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR25078 |
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| _version_ | 1849423038245765120 |
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| author | Jianjun GE Siqi TANG Mingqiang LI Congying HAN Tong WANG Genjiu XU |
| author_facet | Jianjun GE Siqi TANG Mingqiang LI Congying HAN Tong WANG Genjiu XU |
| author_sort | Jianjun GE |
| collection | DOAJ |
| description | This paper addresses the challenges of adapting complex perception systems to perform core tasks such as detection, tracking, and countermeasures in highly dynamic and adversarial battlefield environments. We propose an information-driven theoretical model and a systematic methodology for system construction. This study introduces an information-driven theoretical model and construction methodology for such systems. Specifically, a multi-layered information description framework is introduced to overcome the application barriers of traditional static modeling and fixed-pattern design. This framework is based on syntax, semantics, and pragmatics and is designed to overcome the limitations of single syntactic structures and surface-level semantics. A dynamic evolution architecture is incorporated into the system. The theoretical achievements are also applied to the practice of distributed radar detection systems. Moreover, a structured hierarchical optimization algorithm with a finite-scenario interactive learning mechanism is designed to achieve ordered system organization and capability emergence, thereby addressing the complexity of system optimization. This study provides a theoretical framework and technical approach for the design of intelligent perception systems in complex battlefield environments. |
| format | Article |
| id | doaj-art-15f912b0eeb9458d9e9b2c7261d88d3a |
| institution | Kabale University |
| issn | 2095-283X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj-art-15f912b0eeb9458d9e9b2c7261d88d3a2025-08-20T03:30:49ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2025-06-0114365166310.12000/JR25078R25078Information Theory and Construction Methods of Complex Perception SystemsJianjun GE0Siqi TANG1Mingqiang LI2Congying HAN3Tong WANG4Genjiu XU5Information Science Academy, China Electronics Technology Group Corporation, Beijing 100144, ChinaInformation Science Academy, China Electronics Technology Group Corporation, Beijing 100144, ChinaInformation Science Academy, China Electronics Technology Group Corporation, Beijing 100144, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaXidian University, Xi’an 710071, ChinaNorthwestern Polytechnical University, Xi’an 710072, ChinaThis paper addresses the challenges of adapting complex perception systems to perform core tasks such as detection, tracking, and countermeasures in highly dynamic and adversarial battlefield environments. We propose an information-driven theoretical model and a systematic methodology for system construction. This study introduces an information-driven theoretical model and construction methodology for such systems. Specifically, a multi-layered information description framework is introduced to overcome the application barriers of traditional static modeling and fixed-pattern design. This framework is based on syntax, semantics, and pragmatics and is designed to overcome the limitations of single syntactic structures and surface-level semantics. A dynamic evolution architecture is incorporated into the system. The theoretical achievements are also applied to the practice of distributed radar detection systems. Moreover, a structured hierarchical optimization algorithm with a finite-scenario interactive learning mechanism is designed to achieve ordered system organization and capability emergence, thereby addressing the complexity of system optimization. This study provides a theoretical framework and technical approach for the design of intelligent perception systems in complex battlefield environments.https://radars.ac.cn/cn/article/doi/10.12000/JR25078complex perception systemsmulti-layered information description frameworksystem dynamic evolution architecturedistributed radar detection systemhierarchical optimization paradigm |
| spellingShingle | Jianjun GE Siqi TANG Mingqiang LI Congying HAN Tong WANG Genjiu XU Information Theory and Construction Methods of Complex Perception Systems Leida xuebao complex perception systems multi-layered information description framework system dynamic evolution architecture distributed radar detection system hierarchical optimization paradigm |
| title | Information Theory and Construction Methods of Complex Perception Systems |
| title_full | Information Theory and Construction Methods of Complex Perception Systems |
| title_fullStr | Information Theory and Construction Methods of Complex Perception Systems |
| title_full_unstemmed | Information Theory and Construction Methods of Complex Perception Systems |
| title_short | Information Theory and Construction Methods of Complex Perception Systems |
| title_sort | information theory and construction methods of complex perception systems |
| topic | complex perception systems multi-layered information description framework system dynamic evolution architecture distributed radar detection system hierarchical optimization paradigm |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR25078 |
| work_keys_str_mv | AT jianjunge informationtheoryandconstructionmethodsofcomplexperceptionsystems AT siqitang informationtheoryandconstructionmethodsofcomplexperceptionsystems AT mingqiangli informationtheoryandconstructionmethodsofcomplexperceptionsystems AT congyinghan informationtheoryandconstructionmethodsofcomplexperceptionsystems AT tongwang informationtheoryandconstructionmethodsofcomplexperceptionsystems AT genjiuxu informationtheoryandconstructionmethodsofcomplexperceptionsystems |