基于多无人机协同的航迹欺骗误差分析

doi:10.12305/j.issn.1001-506X.2026.07.07

Abstract

Abstract:

In radar countermeasures, multi-unmanned aerial vehicle (UAV) cooperative trajectory deception plays a significant role in consuming enemy radar resources and masking real targets. However, it is affected by errors in positioning accuracy, UAV positions, and modulation parameters. In regard to this, after constructing a basic model for trajectory deception, this paper focuses on analyzing the impacts of radar priori position errors and UAV position errors on false trajectories. It derives a spatial theoretical model to clarify the relationship between errors and false target deviations, as well as the measurement association conditions. This paper deduces the detection conditions for velocity consistency and the consistency between modulation parameters and radar cross-section （RCS）. A comprehensive analysis of spatial coupling errors is conducted, and corresponding compensation schemes are proposed. Simulation experiments demonstrate that the theoretical analysis can effectively estimate the effect of trajectory deception, and the compensation schemes exhibit feasibility and effectiveness.

Key words: trajectory deception, error analysis, networked radar, unmanned aerial vehicle (UAV)

CLC Number:

TN 972

Honghui BAN, Jifei PAN, Zheng WANG, Rui CUI. Trajectory deception error analysis based on multi-UAV collaboration[J]. Systems Engineering and Electronics, 2026, 48(7): 2195-2205.

Figures/Tables 13

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References 27

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分图	参数
分图	$ \Delta {R_r} $	$ \Delta {R_u} $	$ \Delta {R_\tau } $	$ \Delta {r_{\max }} $
图10（a）	100	0	0	250
图10（b）	0	100	0	349.8
图10（c）	100	100	3	612.1

名称	坐标或数值
雷达R₁/km	（0, 0, 0）
雷达R₂/km	（30, 6, 0 ）
雷达R₃/km	（70, 3, 0）
$ \Delta {R_r} $/m	100
$ \Delta {R_u} $/m	100
$ \Delta {R_\tau } $/m	$ N(0,\;3) $
$ \lambda $/m	0.1
$ {P_t} $/kW	500
$ {G_t} $	40 dBi
$ {G_j} $	30 dBi
$ {\sigma _{{\mathrm{theory}}}} $/m²	10
$ \sigma $/（m/s）	10

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Trajectory deception error analysis based on multi-UAV collaboration

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