摘要
针对INS/GPS组合导航系统中噪声统计特性不准确时,现有的卡尔曼滤波工作性能会降低的问题,提出了一种基于粒子滤波的INS/GPS组合导航滤波算法。仿真结果表明该算法能有效降低统计特性不准确对系统造成的不利影响。
When the noise statistical characteristics in the INS/GPS integrated navigation system are not accurate, the per- formance of the Kalman filtering algorithm will decrease. In view of this, a particle filtering algorithm for INS/GPS integrat- ed navigation is proposed. The simulated results demonstrate that the algorithm can reduce the influence caused by the unac- curacy of noise statistical characteristics.
出处
《光学与光电技术》
2012年第1期96-98,共3页
Optics & Optoelectronic Technology
关键词
惯性导航系统
组合导航
噪声统计特性
粒子滤波
inertial navigation system（INS） integrated navigatiom noise stastical eharacteristics particle filtering
