无源北斗/高度组合导航自适应滤波算法

为了减小用户机动对无源北斗双星组合导航系统定位精度的影响,论文研究了自适应滤波定位算法.首先,在分析组合导航算法Singer模型的基础上,提出了模糊逻辑自适应滤波方案.然后,通过仿真获取系统知识,建立模糊逻辑系统,实时调整滤波器驱动噪声方差,实现滤波定位算法模型对用户机动的适应性.最后,通过仿真验证,设计的模糊逻辑自适应滤波算法能根据用户机动情况实时调整卡尔曼滤波器的驱动噪声方差参数,并能有效提高组合导航系统机动时的定位精度.

Passive BD/altitude integrated navigation adaptive filter algorithm

Adaptive filter algorithm is studied in this paper, the main purpose is to reduce the position error of Beidou integrated navigation system in maneuverability condition. Firstly, a fuzzy logic adaptive filter method was proposed based on analysis to Singer model of integrated navigation system. Secondly, a fuzzy logic algorithm that regulate filter's drive noise variance was found by emulational knowledge from integrated navigation system. Finally, it is explained in emulation mode that the fuzzy logic adaptive filter algorithm found in this paper can regulate kalman filter's noise variance according to user's maneuverability, and as a result it can improve the positioning precision of integrated system efficiently in maneuverability condition.