A system level methodology is presented for soft failure detection and analysis in small unmanned aerial vehicle (UAV) system, induced by radio frequency interference (RFI). This method includes a radio frequency test system based on the equivalent dynamic test method, and soft failure detection and identification method based on ground control station observation records and system log analysis. By designing signal forwarding system for global positioning system, the equivalent dynamic flight state of the UAV is realized. Through the application of standard radiated susceptibility test methods, the effects of RFI with multiple interference levels covering the frequency range from 2 MHz to 3 GHz on small UAV systems have been investigated. RFI is coupled into the UAV system through the antenna coupling and cable coupling. Soft failure modes are classified and failure analysis is mainly carried out through system log analysis, combined with full-wave simulation analysis, the root cause of the soft failure is determined. The understanding of the soft failure mode and susceptibility is beneficial to the design of UAV system, improving the robustness of software and hardware.

中文翻译：

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小型无人机系统射频干扰引起的系统级软故障检测与识别


提出了一种系统级方法，用于小型无人机 (UAV) 系统中由射频干扰 (RFI) 引起的软故障检测和分析。该方法包括基于等效动态测试方法的射频测试系统、基于地面控制站观测记录和系统日志分析的软故障检测和识别方法。通过设计全球定位系统信号转发系统，实现无人机的等效动态飞行状态。通过应用标准辐射敏感性测试方法，研究了覆盖2 MHz至3 GHz频率范围的多种干扰电平的RFI对小型无人机系统的影响。 RFI通过天线耦合和电缆耦合耦合到无人机系统中。软故障模式分类和故障分析主要通过系统日志分析进行，结合全波仿真分析，确定软故障的根本原因。了解软故障模式和敏感性有利于无人机系统的设计，提高软硬件的鲁棒性。