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[1] 宫晓琳,张蓉,房建成. 固定区间平滑算法及其在组合导航系统中的应用[J] . 中国惯性技术学报,2012,20(6):687-693.
[2] Jetto L, Longhi S. Development and experimental validation of an adaptive extended kalman filter for the localization of mobile robots2 j
[C] / / IEEE Transactions and Automation on Robotics,2009:143-150.
[3] Zhu Jihua,Zheng Nanning,Yuan Zejian,et al. A SLAM algorithm based on the central difference kalman filter [ C ] / / Intelligent Vehicles Symposium,IEEE,2009:123-128.
[4] Zhang Haitao,Rong Jian,Zhong Xiaochun. The performance comparison/ 11th IEEE International Conference onCommunication Technology,2008:432-437.
[5] Sarkka S,Viikari V,Huusko M,et al. Phase-based UHF RFID tracking with nonlinear kalman filtering and smoothing [ J ]. IEEE Sensors Journal,2012,12(5):904-910.
[6] Nassar S. Improving the inertial navigation system(INS) error model for INS and INS / DGPS applications [ D ] . Alberta: University of Calgary,2003.
[7] 秦永元. 惯性导航[M] . 北京:科学出版社,2005:10-230.
[8] Lei Xuan,Yang Jing. Application of RTS optimal smoothing algorithm in satellite attitude determination[C] / / 2011 2nd International Conference on Intelligent Control and Information Proceedings,2011:978-982.
[9] Nassar S,Liu Hang,El-Sheimy N. Two-Filter smoothing for accurate ins-gps land-vehicle navigation in urban centers[J] . IEEE Trans. on Vehicular Technology,2010,59(9):4256-4267.
[10] 于翔川. 基于非线性滤波的目标跟踪算法研究[D] . 西安:西安
电子科技大学,2009.
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