【摘要】 由于直升机的工作环境复杂,采用常规卡尔曼滤波进行组合导航容易发散。为了提高系统应对突变的能力,提出了一种基于Sage-Husa滤波器和强跟踪滤波器的交互式多模型(IMM)自适应滤波(AF)算法。具体实现是通过判断滤波器的每一维收敛判据,进而选择相应的自适应算法。仿真结果证明了改进算法的有效性和优越性,导航精度得到了显著提升。更多还原

【Abstract】 Due to complicated working environment of helicopter,Kalman filter in integrated navigation is prone to diverge. In order to improve the system to cope with sudden change,an interactive multiple model adaptive filtering algorithm based on Sage-Husa adaptive filter and strong trackin filter was proposed. The specific implementation was that choosing corresponding adaptive algorithm by judging filter convergence condition in every dimension. Simulation results demonstrate the effectiveness and superiority of the IMM-AF algorithm,which hasimproved navigation accuracy significantly.更多还原