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出 处:《导弹与航天运载技术》2016年第3期63-67,共5页Missiles and Space Vehicles
基 金:军队计划项目资助课题
摘 要:为了提高SINS/OD组合导航的精度,推导了载体坐标系下单位时间内位移增量之差的观测模型,利用残差x^2检测对OD信号进行两层故障检测和隔离,使用前后向迭代滤波完成误差参数估计和校正。利用实车实验分别对Kalman滤波、1次迭代滤波、2次迭代滤波进行对比分析,结果表明2次迭代滤波精度最高,但相对于1次迭代滤波精度提高效果不够明显。从滤波精度和计算量上综合考虑,SINS/OD组合导航中1次迭代滤波效果最好。To improve the navigation precision of SINS/OD integrated navigation system, the observation model of the deference between displacement increments per unit time in the body coordinate system is derived. The paper conducts the two-layer fault detection and isolation for the OD's signal using residual χ2 detection, and estimates and corrects of the error parameters by using forward-backward iterative filter. Vehicle test is conducted to comparatively analyze Kalman filter, one-iteration and two-iteration filters. The results show that the filtering precision of two-iteration filter is the best, which doesn't have an obvious improvement compared with one-iteration filter. For the comprehensive consideration of filtering precision and computational complexity, the filtering effect of one-iteration filer in SINS/OD integrated navigation system is the best.
分 类 号:U666.1[交通运输工程—船舶及航道工程]
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