基于自适应SRUKF的无人机位姿预测方法
[1] NATASSYA B F, SILVA D , DANIEL B W, et al. Performance evaluation of the extended kalman filter and unscented kalman filte[C]//IEEE International Conference on Unmanned Aircraft systems (IUAS), USA: IEEE, 2015.
[2] MARCONATO E A, RODRIGUES D, CHAVES A A , et al. Unmanned aerial vehicles & service-oriented architecture, Larissa and knowledge based framework’s first study[C]//The Tenth International Conference on Autonomic and Autonomous Systems (ICAS), USA: IEEE,2014.
[3] HIRASAWA R,NAKAJIMA Y, MASAKI T. Receding-horizon unscented kalman filter using successive unscented transformation for spacecraft attitude estimation[C]// Florida: AIAA Guidance, Navigation, and Control Conference, AIAA, 2015.
[4] WANG Yidi , SUN Shouming , LI Li, Adaptively robust unscented kalman filter for tracking a maneuvering Vehicle[J]. Journal of Guidance, Control, and Dynamics, 2014, 37(5): 1696-1701.
[5] SWEE H T, TAKAAKI K, TORU N, et al. Unscented kalman filter for position estimation of UAV by using image information[C]. USA: SICE Annual Conference, 2015.
[6] 符毅, 孔星炜, 董新民, 等. 基于改进UKF的加油机位姿预测方法[J], 应用光学, 2016,37(6): 860-865.
FU Yi, KONG Xingwei, DONG Xinmin, et al, Tanker pose prediction via modified unscented kalman filter[J]. Journal of Applied Optics, 2016, 37(6): 860-865.
[7] 石勇, 韩崇昭. 自适应UKF算法在目标跟踪中的应用[J]. 自动化学报, 2011, 37(6): 755-759.
SHI Yong, HAN Chongzhao. Adaptive UKF method with applications to target tracking[J]. Acta Automatica Sinica, 2011, 37(6): 755-759.
[8] JONATHAN K, DANIEL J K, DIETER F, et al. GP-UKF: unscented kalman filters with gaussian process prediction and observation models[C]//CA, USA San Diego: in the Proceedings of the IEEE/RSJ International Intelligent Robots and Systems San Diego, 2007.
[9] 李鹏, 宋申民, 陈兴林, 自适应平方根无迹卡尔曼滤波算法[J]. 控制理论与应用, 2010, 27(2): 143-146.
LI Peng, SONG Shenmin, CHEN Xinglin, Adaptive square-root unscented Kalman filter algorithm [J]. Control Theory & Application, 2010, 27(2): 143-146.
[10] 赵辉, 周欢, 翁兴伟, 等. 传感器故障条件下的UKF算法[J]. 控制与决策, 2015, 30(11): 2025-2032.
ZHAO Hui, ZHOU Huan, WENG Xingwei, et al. Adaptive UKF algorithm under condition of sensor faults [J]. Control and Decision, 2015, 30(11): 2025-2032.
[11] 李丹, 刘建业, 熊智, 等. 基于最小偏度采样的卫星自主导航SRUKF算法[J]. 南京航空航天大学学报, 2009, 41(1): 54-58.
LI Dan, LIU Jianye, XIONG Zhi, et al. Square root unscented kalman filter for satellite autonomous navigation system based on minimal simplex skew transformation[J]. Journal of NanJing University of Aeronautics & Astronautics, 2009, 41 (1): 54-58.
[12] JAMSHAID A, RASHEEQ M, UllAH B M. Performance comparison among some nonlinear filters for a low cost SINS/GPS integrated solution[J]. Springer Nonlinear Dyn , 2010, 61(1): 491-502.
[13] 潘泉, 杨峰, 叶亮, 等. 一类非线性滤波器-UKF综述[J]. 控制与决策, 2005, 20(5): 481-494.
PAN Quan, YANG Feng, YE Lang, et al. Survey of a kind of nonlinear Filters-UKF[J]. Control and Decision, 2005, 20(5): 481-494.
[14] SONG Qi, HAN Jianda.An adaptive UKF algorithm for the state and parameter of a mobile robot[J]. Acta Automatica Sinica, 2008, 34(1): 72-79.
[15] 孙枫, 唐李军. Cubature卡尔曼滤波器与Unscented卡尔曼滤波估计精度比较[J].控制与决策,2013,28(2): 303-312.
SUN Feng, TANG Lijun. Estimation precision comparison of cubature kalman filter and unscented kalman filter[J]. Control and Decision, 2013, 28(2): 303-312.
符毅, 孔星炜, 董新民. 基于自适应SRUKF的无人机位姿预测方法[J]. 应用光学, 2019, 40(1): 21. FU Yi, KONG Xingwei, DONG Xinmin. Adaptive square-root unscented Kalman filter for position and pose prediction of UAV[J]. Journal of Applied Optics, 2019, 40(1): 21.