欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
由于卫星导航系统容易受到欺骗干扰,无法满足飞行器对导航参数的高可靠、高精度的测量要求,将捷联惯性导航系统、星敏感器提供的姿态信息和紫外敏感器提供的天体矢量信息等多种导航系统进行融合,构建惯性/星光/天体矢量组合导航系统是实现未来飞行器高精度导航的保证。由于惯性/星光/天体矢量组合导航系统中存在系统非线性以及噪声统计特性不准确的特点,现有的线性扩展卡尔曼滤波性能会降低,因此,提出了基于粒子滤波的惯性/星光/天体矢量组合导航滤波算法,并将其与基于扩展卡尔曼滤波的组合导航系统进行比较,仿真结果显示,基于粒子滤波算法的惯性/星光/天体矢量组合导航系统具有更高的导航精度,表明算法能有效降低系统非线性以及噪声统计不准确对导航结果的不利影响。
英文摘要：
The GNSS is vulnerable to be disrupted by interference,and can not satisfy the requests of high reliability and high precision for the navigation system of vehicle. Integrating SINS,the attitude information provided by star sensor and the vector objects provided by the ultraviolet sensor is the assurance of realizing high precision in future vehicle. Because of the nonlinear nature and inaccuracy noise statistics in inertial / star / vector objects integrated navigation system,the performance of the existing Kalman filter seems to degrade significantly. Given this problem,this paper proposes an inertial / star / vector objects integrated navigation algorithm based on particle filter. The simulation results show that the proposed algorithm has higher navigation precision,which indicates this algorithm can effectively reduce the negative impact brought by system nonlinear and the inaccuracy noise statistics.
同期刊论文项目
同项目期刊论文
Adaptive estimation of attitude and angular velocity of malfunctioned satellites foron-orbit servici
期刊信息
位置：