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Research on defense style of intelligent navigation warfare
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Science & Technology Review | 2024, 42(23) : 54 - 61
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Science & Technology Review | 2024, 42(23): 54-61
Exclusive: Cross-domain artificial intelligence technology
Research on defense style of intelligent navigation warfare
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YANG Fan1, WU Zhongwang1, WANG Xiaohai1, LI Minggui2
Affiliations
    1. Space Engineering University, Beijing 101416, China;
    2. Unit 263780, Sanya 572000, China
Published: 2024-12-13 doi: 10.3981/j.issn.1000-7857.2023.09.01462
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Navigation warfare has become one of the new electronic combat styles, and it effectively supports joint operations. However, the satellite navigation landing signal is weak and highly vulnerable to interference, which affects various command chains of joint operations and has a devastating impact on the war. This paper proposes an alternative defense style for unmanned aerial vehicle (UAV) pseudo satellite network navigation when satellite navigation is rejected. Then a multi-point navigation power intelligent enhanced defense style is presented when navigation signals are subject to electromagnetic interference. Next, an autonomous integrated navigation defense style is put forward when satellite navigation signals are unstable. Finally, this paper proposes in-orbit autonomous programming and navigation signal reconstruction defense styles when the satellite navigation signal frequency band is attacked. Thus, effective defense can be carried out from multiple perspectives, ensuring the normal broadcasting of navigation signals, and effectively supporting the smooth progress of various combat activities.
intelligence  /  navigation warfare  /  defense style  /  combat style
YANG Fan, WU Zhongwang, WANG Xiaohai, LI Minggui. Research on defense style of intelligent navigation warfare[J]. Science & Technology Review, 2024 , 42 (23) : 54 -61 . DOI: 10.3981/j.issn.1000-7857.2023.09.01462
Year 2024 volume 42 Issue 23
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Article Info
doi: 10.3981/j.issn.1000-7857.2023.09.01462
  • Receive Date:2023-09-26
  • Online Date:2025-01-06
  • Published:2024-12-13
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  • Received:2023-09-26
  • Revised:2023-12-05
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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