吉林大学学报(工学版) ›› 2021, Vol. 51 ›› Issue (4): 1482-1489.doi: 10.13229/j.cnki.jdxbgxb20200374
• 通信与控制工程 • 上一篇
谢少彪1,2(),张宇3,温凯瑞3,张硕3,刘宗明3(),齐乃明1
Shao-biao XIE1,2(),Yu ZHANG3,Kai-rui WEN3,Shuo ZHANG3,Zong-ming LIU3(),Nai-ming QI1
摘要:
针对飞机、卫星等空天非合作目标运动状态估计时,由于视觉系统检测的特征发生变化会导致系统估计误差增大甚至发散等问题,提出了一种强跟踪容积卡尔曼滤波算法(STCKF)。在利用CW方程描述卫星相对运动时,考虑视觉测量系统的偏心安装,在STCKF预测状态误差协方差阵中引入次优渐消因子,通过在线调整增益,保证残差序列相互正交,使得当系统状态发生突变时仍能保证对系统跟踪的可靠性和稳定性。仿真结果表明,与标准无迹卡尔漫滤波(UKF)和容积卡尔曼滤波(CKF)算法相比,STCKF能够适应目标特征时变的情况,明显改善了目标跟踪的精度和稳定度。
中图分类号:
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