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Research of UAV and Passive Radar Collaborative Networking Passive Positioning Strategy
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Wenjuan YAN1, 2, Zhijun GUAN1, Yingyi TONG2, Su LIU3
Radio Engineering | 2025, 55(11) : 2283 - 2289
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Radio Engineering | 2025, 55(11): 2283-2289
• Engineering & Application •
Research of UAV and Passive Radar Collaborative Networking Passive Positioning Strategy
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Wenjuan YAN1, 2, Zhijun GUAN1, Yingyi TONG2, Su LIU3
Affiliations
  • 1.Information and Navigation School, Air Force Engineering University, Xi’an 710077, China
  • 2.Unit 95894, PLA , Beijing 102200, China
  • 3.Unit 94691, PLA , Longyan 366200, China
Published: 2025-11-05 doi: 10.3969/j.issn.1003-3106.2025.11.016
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To solve the problems of tracking and positioning of airborne early warning aircraft and other long-range targets，a high-precision passive positioning strategy based on the collaborative networking of UAVs and passive radar is proposed. By analyzing the impact of the layout of multi-station passive radar on positioning accuracy，a layout strategy that can improve positioning accuracy and reduce layout costs is designed. Time Difference of Arrival (TDOA) positioning method is applied in the study，and on this basis，the Geometric Dilution of Precision ( GDOP) for multiple stations is analyzed to evaluate the impact of the layout form on positioning accuracy. A collaborative strategy is proposed that，when the initial direction of the target is unknown，first uses a star-shaped layout for initial positioning and then switches to an inverted triangular layout for high-precision secondary positioning. The optimal secondary stations are selected using the “virtual structure method”and the flight trajectory of the UAV is optimized using an improved Particle Swarm Optimization ( PSO) algorithm to achieve high-precision layout. Simulation results show that this strategy can significantly improve positioning accuracy. Compared with traditional passive radar systems，positioning error is significantly reduced，and system response speed is faster. The research results have certain application value in practice.

UAV  /  passive radar  /  collaborative networking  /  passive positioning  /  strategy research
Wenjuan YAN, Zhijun GUAN, Yingyi TONG, Su LIU. Research of UAV and Passive Radar Collaborative Networking Passive Positioning Strategy[J]. Radio Engineering, 2025 , 55 (11) : 2283 -2289 . DOI: 10.3969/j.issn.1003-3106.2025.11.016
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Year 2025 volume 55 Issue 11
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Article Info
doi: 10.3969/j.issn.1003-3106.2025.11.016
  • Receive Date：2025-07-01
  • Online Date：2026-04-17
  • Published：2025-11-05
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  • Received：2025-07-01
Affiliations
    1.Information and Navigation School, Air Force Engineering University, Xi’an 710077, China
    2.Unit 95894, PLA , Beijing 102200, China
    3.Unit 94691, PLA , Longyan 366200, China
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表12种不同金属材料的力学参数
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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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