摘要
针对组合导航系统中传感器众多、故障难以辨识等特点,运用多小波分析技术对各传感器的状态信号作小波分析,在较短时间内发现故障点。采用联邦式信息融合机制,通过模糊推理的方法在故障系统和非故障系统之间进行无扰动切换,实现自适应系统重构,保证系统的导航定位精度、容错能力和可靠性。采用跑车试验和仿真实验相结合的方法对提出的技术方案进行验证,证明了其可行性。
Aiming at the difficulty of fault detection in integrated navigation system using multi-sensors, wavelet technology is used to analyze sensor＇ s signal state. It can find fault point in a short time, which makes the system work in real time. Federal information fusion mechanism and fuzzy method are used to switch between normal system and fault system without harass, realizing adaptive system reconstruction, thus the navigation localization precision, faulty tolerance and reliability capability is guaranteed. Road test and computer simulation are combined to validate the proposed scheme. The feasibility is tested.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2009年第5期1885-1890,共6页
Journal of Astronautics
基金
国家863计划资助项目(2006AA122305)
国家自然科学基金(60774065)
关键词
自主导航
系统重构
小波分析
故障检测
信息融合
Autonomous navigation
System reconstruction
Wavelet analyse
Information fusion
