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作 者:梁浩[1] 穆荣军[1] 王丹丹 蔡玲[3] 乔立伟[3]
机构地区:[1]哈尔滨工业大学航天学院,哈尔滨150001 [2]北京宇航系统工程研究所,北京100076 [3]天津航海仪器研究所,天津300131
出 处:《中国惯性技术学报》2014年第5期587-592,共6页Journal of Chinese Inertial Technology
基 金:海军重点预研项目(401010301);国防基础科研项目(C0320110001)
摘 要:针对舰机传递对准中的大姿态失准角问题,研究了稀疏高斯厄米特积分滤波在舰机传递对准中的应用。为了解决稀疏高斯滤波中积分点利用效率不高的问题,提出了一种改进的自适应各向异性稀疏高斯积分滤波算法,改进算法根据状态参数可观测度大小将积分变量分类并根据分类结果构造各向异性权重向量来控制各维通道积分的精度等级,进而对各变量通道的积分点数目进行合理分配。模拟轨迹下仿真结果表明,采用稀疏高斯滤波与采用改进算法的舰机传递对准精度相当,较无味卡尔曼滤波有所提高,对准精度由3?提高到2?;改进算法的积分点数目减少了30%~60%,提高了计算效率。In view of the problems of large misalignment angles in carrier-aircraft INS's transfer alignment, a sparse Gauss-Hermite quadrature filter (SGHQF) is applied to transfer alignment. To solve the problems of low utilization efficiency of points in SGHQF, a new adaptive anisotropic sparse Gauss-Hermite quadrature filter (AASGHQF) is proposed. The state parameters' observable degree is quantized to classify the state parameters, and a mechanism for controlling the accuracy level of each dimension is presented by structuring adaptive anisotropic importance vector, in which the value of every element is determined according to grouped results. This mechanism can distribute the quadrature points nonuniformly and reasonably. Simulation results show that the AASGHQF algorithm has comparative performance with SGHQF and has a better performance compared with Unscented Kalman filter (UKF). The alignment precision of 3 arcmin could be improved to 2 arcmin by this algorithm. In addition, the number of AASGHQ points is decreased by 30%~60% and the computation efficiency is increased.
关 键 词:舰载机 传递对准 非线性滤波 可观测度 各向异性 高斯厄米特
分 类 号:V249.32[航空宇航科学与技术—飞行器设计]
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