航空兵器Issue(1)：28-32,5.DOI:10.19297/j.cnki.41-1228/tj.2017.01.004
机载武器SINS/BDS组合导航自适应滤波算法研究
Study of Airborne Weapons SINS/BDS Integrated Navigation Adaptive Filter Algorithm
程海彬 1鲁浩2
作者信息
- 1. 中国空空导弹研究院, 河南 洛阳 471009
- 2. 航空制导武器航空科技重点实验室, 河南 洛阳 471009
- 折叠
摘要
Abstract
Research on the integrated navigation algorithm for airborne weapons.The state equation of SINS/BDS integrated navigation is given.The observation equation of pseudo-distance and pseudo-distance-rate is deduced.In order to solve the question that there is defect when it is uncertain in noise measurement by using the traditional Kalman filter algorithm, a new noise adaptive filter and residual fault detection method are studied.The new algorithm is written into the software, the software simulation and the vehicle tests have been carried out.The test results show that the new algorithm can effectively enhances the system robustness, improved the filter precision, isolate the satellite navigation system failure and make the test navigation product to maintain high precision, stable and reliable output.关键词
组合导航/自适应滤波/故障检测/车载试验Key words
integrated navigation/adaptive filter/fault detection/vehicle tests分类
军事科技引用本文复制引用
程海彬,鲁浩..机载武器SINS/BDS组合导航自适应滤波算法研究[J].航空兵器,2017,(1):28-32,5.
