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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.
In order to reduce the influence of user maneuvering on the positioning accuracy of passive BeiDou binaural integrated navigation system, this thesis studies the adaptive filtering positioning algorithm.First, based on the analysis of Singer model of integrated navigation algorithm, a fuzzy logic adaptive filtering scheme is proposed. Then , Obtain system knowledge through simulation, establish fuzzy logic system, and adjust the filter-driven noise variance in real time to realize the adaptability of filter positioning algorithm model to user maneuver.Finally, the simulation results show that the fuzzy logic adaptive filter algorithm can be designed according to user maneuver The real-time adjustment of the Kalman filter driving noise variance parameters, and can effectively improve the navigation accuracy of the integrated navigation system when maneuvering.